JP7527214B2 - CHARGING PLAN CREATION DEVICE, CHARGING SYSTEM, CHARGING PLAN CREATION METHOD, AND CHARGING PLAN CREATION PROGRAM - Google Patents

Description

The present disclosure relates to a charging plan creation device, a charging system, a charging plan creation method, and a charging plan creation program that create charging plans for multiple mobile objects.

Electric vehicles have become increasingly popular in recent years. It is expected that in the future, buses, trucks, and other commercial vehicles will be fully converted to electric vehicles. Furthermore, it is expected that not only automobiles but also trains, airplanes, ships, and other moving vehicles in general will increasingly be equipped with storage batteries and use electricity as their energy source.

When commercial mobile vehicles are equipped with storage batteries, businesses will be charging the storage batteries of many mobile vehicles, and so they need to determine charging schedules taking into account factors such as electricity rates. Patent Document 1 discloses a charging system that uses the cost of charging equipment for charging multiple electric vehicles as an evaluation function and creates a charging plan to optimize the evaluation function.

JP 2016-226091 A

In the technology described in Patent Document 1, the charging time is calculated using the rated output of each charger. On the other hand, the charging power when the charger charges the electric vehicle also depends on the maximum charging power of the electric vehicle. When using the technology described in Patent Document 1, if the maximum charging power of the electric vehicle and the rated output of the charger match, there will be no error between the planned charging time and the actual charging time. However, in general, the maximum chargeable power of an electric vehicle is limited in order to maintain the electric vehicle and extend the life of the storage battery, and the maximum chargeable power changes depending on the state of the storage battery. Therefore, a difference occurs between the planned charging time and the actual charging time, that is, an error occurs in the charging plan, and the charging time of the electric vehicle is longer than the charging plan, which causes problems such as not finishing charging by the time the electric vehicle is scheduled to be used, or the charging time is longer, resulting in charging at a time when the electricity rate is higher than planned.

The present disclosure has been made in consideration of the above, and aims to provide a charging plan creation device that can improve the accuracy of charging plans.

In order to solve the above-mentioned problems and achieve the object, a charging plan creation device according to the present disclosure is a charging plan creation device that creates a charging plan for a storage battery in a charging system having a plurality of chargers capable of charging the storage battery of a mobile body, and includes a maximum power setting unit that sets a maximum charging power of the storage battery in a plan creation target period using charging power information indicating a relationship between a charging rate of the storage battery and a maximum charging power that is a maximum charging power with which the storage battery can be charged, and a charging rate of the storage battery in a plan creation target period that is a target period for creating the charging plan. The charging plan creation device further includes a plan creation unit that determines a charging amount of the storage battery in the plan creation target period using an operation plan of the mobile body, and creates a charging plan using the charging amount and the maximum charging power set by the maximum power setting unit , and an efficiency setting unit that sets an efficiency when charging the storage battery using efficiency information indicating a correspondence between the charging power of the charger and an efficiency indicating a ratio of the output power of the charger to the input power, and the maximum charging power set by the maximum power setting unit, and the plan creation unit further creates a charging plan using the efficiency set by the efficiency setting unit .

This disclosure has the effect of improving the accuracy of charging plans.

FIG. 1 is a diagram showing a configuration example of a charging system according to a first embodiment; FIG. 1 is a diagram showing a configuration example of an EMS according to a first embodiment; FIG. 1 is a diagram showing an example of a charge/discharge plan created by a plan creation unit according to the first embodiment; FIG. 1 is a diagram showing an example of SOC data according to the first embodiment; FIG. 2 is a diagram showing an example of a relationship between SOC and maximum charging power of a vehicle; A schematic diagram showing the relationship between the load factor and efficiency of a charger A flowchart showing an example of a charge/discharge plan creation procedure in the EMS according to the first embodiment. FIG. 1 is a schematic diagram showing the relationship between SOC and maximum charging power when multiple charging powers can be set; FIG. 1 is a diagram showing an example of the configuration of a computer system that realizes an EMS according to a first embodiment. FIG. 13 is a diagram showing a configuration example of an EMS according to a second embodiment; Schematic diagram showing an example of a neural network

The charging plan creation device, charging system, charging plan creation method, and charging plan creation program according to the embodiments are described in detail below with reference to the drawings.

Embodiment 1.
FIG. 1 is a diagram showing a configuration example of a charging system according to the first embodiment. As shown in FIG. 1, the charging system 1 according to the present embodiment is a system capable of charging vehicles 5-1 to 5-n, which are an example of a mobile body having a mobile body storage battery. n is an integer of 2 or more. Hereinafter, when the vehicles 5-1 to 5-n are not individually distinguished, they are also referred to as vehicles 5. Hereinafter, an example in which the vehicle 5 is a bus will be described, but the vehicle 5 is not limited to a bus, and may be a truck that travels along a generally specified route or a regular automobile for business use. In addition, in the following, the vehicle 5 will be described as an example of a mobile body that moves using electric energy, but the charging system 1 according to the present embodiment can also be applied to charging other mobile bodies such as trains, airplanes, and ships. In addition, the mobile body is not limited to one that moves only using electric energy, and may move using both electric energy and other energy sources such as gasoline. A mobile body that moves using electric energy generally has a mobile body storage battery and moves using the power stored in the storage battery.

The vehicle 5 is equipped with a storage battery, which is a mobile storage battery, and runs using the power stored in the storage battery. The charging system 1 of this embodiment is installed in a parking lot for the vehicle 5, an office of the business that manages the vehicle 5, a station for the vehicle 5, etc., and is a system that charges the storage battery of the vehicle 5 managed by the business. Each vehicle 5 operates according to an operation plan, and when the operation of the day is completed, it returns to the parking lot, business office, station, etc. where the charging system 1 is installed, and is charged in the charging system 1. As shown in FIG. 1, the charging system 1 includes an energy management system (hereinafter abbreviated as EMS) 10, a converter 41, chargers 42-1 to 42-n, connection units 45-1 to 45-n, a storage battery 20, a storage battery power conditioning system (hereinafter abbreviated as PCS) 43, and a solar power generation facility 21. Hereinafter, when the chargers 42-1 to 42-n and the connection units 45-1 to 45-n are not individually distinguished, they are also referred to as the charger 42 and the connection unit 45, respectively.

Three-phase AC power is supplied to the charging system 1 from a power system 2 managed by a power company via a transformer 3. The transformer 3 outputs the voltage of the three-phase AC power supplied from the power system 2 to the charging system 1. The converter 41 converts the three-phase AC power supplied via the transformer 3 into DC power and supplies it to the DC bus 40. A DC load 44 is connected to the DC bus 40. In this embodiment, chargers 42-1 to 42-n, which are multiple chargers, and a storage battery PCS 43, which is a control device, are connected to the DC bus 40. Each of the chargers 42-1 to 42-n in this embodiment converts the DC power supplied from the DC bus 40 into DC power for charging a storage battery mounted on the vehicle 5, and can supply the converted DC power to the storage battery of the vehicle 5 via the corresponding connection unit 45-1 to 45-n.

Note that, although an example is shown here in which a DC load 44 is connected to the DC bus 40, the DC load 44 does not have to be connected to the DC bus 40. The power system 2 managed by the power company will hereinafter also be referred to simply as the system. Note that, although a transformer 3 is also shown in FIG. 1 within the charging system 1, the transformer 3 does not constitute the charging system 1 but is connected or connectable to the charging system 1. Note that the charging system 1 may be defined as including at least one of the vehicle 5 and the transformer 3.

Note that, although an example configuration in which a DC bus 40 is used in the charging system 1 is described here, the example configuration in which a DC bus 40 is used is just one example, and the charging system 1 may be configured not to include a converter 41, and AC power may be supplied to the chargers 42-1 to 42-n. Furthermore, the charging system 1 may not include the storage battery 20, the storage battery PCS 43, and the solar power generation facility 21. The charging system 1 is not limited to the example configuration shown in FIG. 1, and may have any configuration as long as it includes multiple chargers 42 capable of charging a vehicle.

The chargers 42-1 to 42-n are a plurality of chargers capable of charging the vehicles 5-1 to 5-n, which are an example of a plurality of moving bodies. The chargers 42-1 to 42-n are AC (Alternating Current)/AC converters that convert the DC power supplied from the DC bus 40 into DC power of a voltage value specified by the vehicle 5 via the corresponding connection units 45-1 to 45-n, and the converted DC power can be supplied to the storage battery of the vehicle via the corresponding connection units 45-1 to 45-n. As described above, the charging system 1 may supply AC power to the chargers 42-1 to 42-n without including the converter 41. In this case, the chargers 42-1 to 42-n have the function of an AC/DC (Direct Current) converter, which is a function of converting three-phase AC power into DC power, and convert the three-phase AC power into DC power of a voltage value specified by the vehicle 5. The voltage value specified by the vehicle 5 is included in the information notified by the chargers 42-1 to 42-n from the vehicle 5 via the connection units 45-1 to 45-n. The chargers 42-1 to 42-n can charge the storage batteries of the vehicles 5 by supplying the converted DC power to the vehicles 5 via the corresponding connection units 45-1 to 45-n at a power value specified by the EMS 10. Note that while FIG. 1 shows an example in which the vehicles 5-1 to 5-n are connected to the chargers 42-1 to 42-n, respectively, the number of vehicles 5 managed by the operator is generally greater than the number of chargers 42. Note that there are no particular restrictions on the number of vehicles 5, and the number may be the same as or different from the number of chargers 42.

The connection units 45-1 to 45-n are also called charging stations and have a connection cable for connecting to the vehicle 5 when charging the vehicle 5. The connection cable has a function as a power line for transmitting power and a function as a communication line for communication. The connection units 45-1 to 45-n can communicate with the vehicle 5 via the connection cable. The connection units 45-1 to 45-n acquire information about the storage battery of the connected vehicle 5 from the vehicle 5 through the communication. The information about the storage battery mounted on the vehicle 5 includes charging on/off information for determining the start and end of charging, a voltage value specified when charging the storage battery, remaining amount information indicating the remaining amount of the storage battery, and the SOC (State Of Charge) also called the charging rate. The chargers 42-1 to 42-n acquire the above-mentioned information from the vehicle 5 via the corresponding connection units 45-1 to 45-n. The information acquired by the chargers 42-1 to 42-n from the vehicle 5 may include identification information of the vehicle 5. Chargers 42-1 to 42-n transmit at least a portion of the information acquired from vehicle 5 via connection units 45-1 to 45-n to EMS 10. Note that the identification information of vehicle 5 is not limited to being acquired from vehicle 5, and EMS 10 may obtain the identification information of vehicle 5 by reading the license plate of vehicle 5 from an image captured by a camera installed in charging system 1. For example, chargers 42-1 to 42-n notify EMS 10 of the SOC of the storage battery acquired from vehicle 5.

The solar power generation facility 21 can convert sunlight into electrical energy and output the electrical energy as DC power. The storage battery 20 can store the DC power output from the solar power generation facility 21. The storage battery PCS 43 is a control device that charges and discharges the storage battery 20. The storage battery PCS 43 charges and discharges the storage battery 20 based on a charge and discharge command received from the EMS 10. When the storage battery 20 is discharged, the storage battery PCS 43 supplies the DC power output from the storage battery 20 to the DC bus 40. The storage battery PCS 43 also charges the storage battery 20 using the DC power supplied from the DC bus 40. That is, the storage battery 20 is charged using the power generated by the solar power generation facility 21 or the power supplied from the power system 2 via the transformer 3 and the converter 41, and can supply the stored power to the chargers 42-1 to 42-n by discharging it. The business vehicle 5 is mainly operated during the day and is often charged at night. When multiple vehicles 5 are charged at the same time, the power supplied from the power grid 2 to the charging system 1 becomes very large, and there is a possibility that it will exceed the upper limit value requested by the contracted power or the power company. By storing the power generated by the solar power generation equipment 21 in the storage battery 20 and using the power stored in the storage battery 20 during charging at night, it is possible to suppress the peak value of the power supplied from the power grid 2 to the charging system 1. In addition, by charging the storage battery 20 during times when the electricity rate is high and discharging the storage battery 20 during times when the electricity rate is low, it is possible to suppress the electricity rate.

Here, an example is described in which all vehicles 5 are charged by one charging system 1 when the day's operation ends, but the locations where the vehicles are charged may be separated into several locations. When there are multiple charging locations where the vehicles are charged, a charging system 1 may be installed for each charging location, or one EMS 10 may manage multiple charging locations. In the latter case, multiple sets of chargers 42 and connection units 45 are provided at each charging location, and the EMS 10 creates a charging schedule for the chargers 42 and connection units 45 at all charging locations.

Next, a configuration example of EMS 10, which is a charging plan creation device of this embodiment, will be described. EMS 10 is a charging plan creation device that creates a charging plan for a storage battery in a charging system 1 that includes multiple chargers 42 capable of charging storage batteries of a vehicle 5, which is an example of a mobile body. FIG. 2 is a diagram showing a configuration example of EMS 10 of this embodiment. As shown in FIG. 2, EMS 10 includes a communication unit 11, a memory unit 12, a plan creation unit 13, a maximum power setting unit 14, an efficiency setting unit 15, and a command generation unit 16. The communication unit 11 communicates with chargers 42-1 to 42-n and storage battery PCS 43.

The storage unit 12 stores battery status information, operation plans, electricity rate data, SOC data, maximum charging power information, efficiency information, and charge/discharge plans. The battery status information is information indicating the status of the battery of the vehicle 5 obtained from the vehicle 5, and is stored in the storage unit 12 by being received by the communication unit 11 via the connection unit 45 and the charger 42. The battery status information includes information indicating the SOC of the battery of the vehicle 5.

The operation plan is information indicating the time when each vehicle 5 is operated, and may be received by EMS 10 from another device via communication unit 11, or may be input by the user. For example, the operation plan stores the route, departure time, and arrival time for each identification information indicating vehicle 5. After each vehicle 5 completes the final route, which is the last route of the day, it returns from the destination of the final route to a business establishment or the like where the charging system 1 is installed, and the operation plan also includes the return time, which is the time when the vehicle 5 arrives at the charging system 1. The electricity rate data is information indicating the electricity rate for each time period. The electricity rate data and the operation plan may be received by EMS 10 from another device via communication unit 11, or may be input by the user.

The SOC data is data used to create a charge/discharge plan for each vehicle 5, which will be described later, and a predicted value or an actual measured value of the SOC for each vehicle is stored. The maximum charging power information is information indicating the relationship between the SOC and the maximum charging power of the vehicle 5. The efficiency information is information indicating the relationship between the charging power of the charger 42 and the efficiency indicating the ratio of the output power of the charger 42 to the input power. The charge/discharge plan is a plan for charging/discharging the entire charging system 1, including the charging plan for the vehicle 5, and is created by the plan creation unit 13. In the case of a charging system 1 that does not have a storage battery 20, the charge/discharge plan is a charging plan for the vehicle 5. Details of the SOC data, maximum charging power information, efficiency information, and charge/discharge plan will be described later. The maximum charging power information and efficiency information are, for example, determined in advance.

Note that Figure 2 shows the main data stored in the memory unit 12. In addition to this, information that is temporarily generated during the processing and other information used in the processing are also stored in the memory unit 12, but these are not shown in the figure.

In this embodiment, the maximum power setting unit 14 sets the maximum charging power of the storage battery in the planning target period using charging power information indicating the relationship between the charging rate of the storage battery of the vehicle 5 and the maximum charging power, which is the maximum charging power with which the storage battery of the vehicle 5 can be charged, and the charging rate of the storage battery in the planning target period, which is the period for which the charging plan is created. Then, the plan creation unit 13 determines the charging amount of the storage battery in the planning target period using the operation plan of the vehicle 5, and creates a charging plan using the charging amount and the maximum charging power set by the maximum power setting unit 14. The plan creation unit 13 may create a charging plan using the efficiency indicating the ratio of the output power of the charger 42 to the input power by the efficiency setting unit 15.

Specifically, the plan creation unit 13 creates a charge/discharge plan for the vehicle 5 using the battery status information, operation plan, electricity rate data, and SOC data stored in the memory unit 12, and the results set by the maximum power setting unit 14 and the efficiency setting unit 15, and stores the created charge/discharge plan in the memory unit 12. The maximum power setting unit 14 sets the maximum charging power for each vehicle 5, which is one of the conditions for creating a charge/discharge plan, using the maximum charging power information, which is charging power information, and the SOC data stored in the memory unit 12. The efficiency setting unit 15 sets the efficiency when charging the storage battery using efficiency information indicating the correspondence between the charging power of the charger 42 and the efficiency indicating the ratio of the output power of the charger 42 to the input power, and the maximum charging power set by the maximum power setting unit 14.

The command generation unit 16 generates charge/discharge commands, which are commands for charging or discharging each of the chargers 42-1 to 42-n and the storage battery PCS 43, based on the charge/discharge plan stored in the memory unit 12, and transmits the generated charge/discharge commands to the corresponding chargers 42-1 to 42-n and the storage battery PCS 43 via the communication unit 11.

Now, the charge/discharge plan of this embodiment will be described. FIG. 3 is a diagram showing an example of a charge/discharge plan created by the plan creation unit 13 of this embodiment. As shown in FIG. 3, the charge/discharge plan includes a charging plan indicating when which vehicle 5 will be charged using which charger 42. In the example shown in FIG. 3, information indicating the charging power when charging the vehicle 5 is also included. Vehicle #1 shown in FIG. 3 indicates the identification information of vehicle 5-1. Similarly, vehicle #i (i is a natural number) indicates the identification information of vehicle 5-i. Furthermore, charger #1 indicates the identification information of charger 42-1. Similarly, charger #j (j is a natural number from 1 to n) indicates the identification information of charger 42-j.

In the example shown in FIG. 3, the charge and discharge plan includes the charge and discharge plan of the storage battery 20 and the predicted power generation amount of the photovoltaic power generation facility 21, but the plan creation unit 13 may create at least a charge plan for the vehicle 5, that is, a plan indicating when which vehicle 5 is to be charged using which charger 42. In the example shown in FIG. 3, purchased power and electricity charges are also included, but since these are information used in creating the charge and discharge plan, they may not be included in the charge and discharge plan. In FIG. 3, the charge and discharge plan is created with one hour as one frame, but the length of one frame in the charge and discharge plan, i.e., the time interval, may be set to 30 minutes, etc., and the time interval is not limited to one hour. In addition, the charge and discharge plan is created in units of a certain period, such as the next day, and is then updated to reflect the latest information. In addition, the certain period, which is the unit for creating the charge and discharge plan, is not limited to one day.

When the vehicle 5 is a route bus, it is used for operation during the day, and therefore the vehicle 5 is mainly charged at night. That is, each vehicle 5 is charged after completing the last operation of the day and returning to the business establishment where the charging system 1 is installed. For this reason, the plan creation unit 13 creates a charging plan for the vehicle 5 based on the operation plan so that charging can be completed between the return of the vehicle 5 and the use for operation the next day. In addition, the plan creation unit 13 further creates a charging and discharging plan as illustrated in FIG. 3 so as to suppress the cost borne by the business operator while not exceeding, for example, the contracted power or the upper limit requested by the power company. In order to create the charging and discharging plan, the plan creation unit 13 determines the amount of charge required for each vehicle 5, but in order to calculate the required amount of charge, it is necessary to manage the SOC of each vehicle 5. In this embodiment, the SOC of each vehicle 5 and the capacity of the storage battery mounted on the vehicle 5 are stored in the storage unit 12 as SOC data. The SOC data is data used to manage the SOC for each vehicle 5.

4 is a diagram showing an example of SOC data in this embodiment. As shown in FIG. 4, the SOC data includes, for example, the capacity, the identification information of the vehicle 5, the "SOC at the time of returning on the day," the "SOC at the time of returning the next day," the "usage amount on the next day," and the "charge amount required on the next day." Note that the "today" in the SOC data is the day on which the vehicle 5 returns before the time for which charging is planned. For example, when the target period for creating the plan is from 7:00 to 24 hours on the next day, charging is mainly performed during the night of the next day, so the "today" in the SOC data is the day after the day on which the plan is created, and when the target period for creating the plan includes the day on which the plan is created, the day on which the plan is created may become the "today" in the SOC data. In addition, when creating the plan, the plan creation unit 13 stores the "SOC at the time of returning the next day" set in the creation process of the charge and discharge plan on the previous day as the "SOC at the time of returning on the day" of the SOC data. At this time, the "SOC at the time of returning on the day" may be changed using the SOC acquired from the vehicle 5 when the vehicle 5 returns to the vehicle and is charged. That is, the plan creation unit 13 may correct the "SOC at the time of return on the day" using the difference between the "SOC at the time of return on the day" used in the process of creating the charge/discharge plan for the previous day and the SOC actually acquired from the vehicle 5. The "SOC at the time of return on the next day" field is updated with a new "SOC at the time of return on the next day" value when creating the charge/discharge plan. The "SOC at the time of return on the next day" does not have to be updated every day, and the same value may be used for a certain period of time.

Among the SOC data shown in FIG. 4, the capacity indicates the capacity of the storage battery of each vehicle 5, and may be, for example, input in advance by the user, or may be a value reflecting the capacity acquired from the vehicle 5, i.e., the deterioration from the rated value. The plan creation unit 13 calculates the power usage for the next day, i.e., the usage for the next day, based on the operation plan and stores it in the SOC data. The plan creation unit 13 sets the SOC at the time of return on the next day and stores this value in the SOC data. The plan creation unit 13 then calculates the remaining capacity of the storage battery for each vehicle 5 using the "SOC at the time of return on the day" and capacity of the SOC data. Furthermore, the plan creation unit 13 calculates the required charging amount for the next day using the calculated remaining capacity so that the SOC when the remaining capacity of the storage battery of the vehicle 5 on the next day is reduced by the predicted value of the power usage for the next day becomes the set value of the "SOC at the time of return on the next day". For example, in the example shown in FIG. 4, the condition that the SOC at the time of the end of the next day's driving is satisfied is set to be 30% or more and less than 90%. In the example shown in FIG. 4, the "SOC at the time of return the next day" is set to 40%, taking into consideration the error so that the SOC at the end of the next day's driving satisfies this condition, and this value is used to calculate the required charge amount for the next day. Note that the above example using the "usage amount for the next day" and the "required charge amount for the next day" is one example of a method for calculating the required charge amount for each vehicle 5, and the method for calculating the required charge amount is not limited to this example.

When the plan creation unit 13 calculates the charge amount required for each vehicle 5 in this way, it can calculate the time required for charging each vehicle 5 by dividing the required charge amount by the charging power. At this time, the rated value of the charger 42 or the vehicle 5 is generally used as the charging power. On the other hand, in order to maintain the vehicle 5 and extend the life of the storage battery, the maximum chargeable power is limited in the vehicle 5, and this maximum chargeable power changes depending on the state of the storage battery. When charging the vehicle 5, the charger 42 receives information indicating the current and voltage used in charging the vehicle 5 from the vehicle 5 and performs charging based on this information, so that the actual charging power is limited to the above maximum power or less. Therefore, when creating a plan, if the charging time is calculated using the rated value, the charging time may be longer than planned, and the vehicle 5 may not be able to be charged in time for the operating time of the vehicle 5, or the total charging power used by the charger 42 may exceed the upper limit of the contracted power or the request from the power company. In addition, even if a plan is made to reduce electricity charges, it may be necessary to charge during a time period when electricity charges are high because the charging time is longer than planned. For this reason, in this embodiment, a charging plan for vehicle 5 is created taking into account such changes in the maximum charging power of vehicle 5 that depend on the state of the storage battery. This makes it possible to create a charging plan for vehicle 5 with high accuracy, and to reduce the discrepancy between the planned charging time and the actual charging time.

The maximum charging power, which is the maximum power for charging the vehicle 5, generally depends on the SOC, but the relationship to the SOC varies depending on the vehicle model, vehicle manufacturer, etc. In other words, the relationship between the maximum charging power and the SOC depends on the design performed by the vehicle model, vehicle manufacturer, etc.

Figure 5 is a diagram showing an example of the relationship between the SOC and the maximum charging power of the vehicle 5. In Figure 5, the horizontal axis shows the SOC, and the vertical axis shows the maximum charging power expressed as a ratio (%) to the maximum charging power when the SOC is 100%. The charging power when the SOC is 100% is, for example, a rated value. Figure 5 shows three patterns, patterns 61 to 63. As shown in Figure 5, there are multiple possible patterns for the relationship between the SOC and the maximum charging power of the vehicle 5, and the pattern is determined, for example, by the vehicle model and vehicle manufacturer. For example, in pattern 61, if the SOC is a% or less, the maximum charging power remains 100%, but if the SOC is greater than a%, the maximum charging power decreases linearly as the SOC increases. In pattern 62, if the SOC is b% or less, the maximum charging power remains 100%, but if the SOC is greater than b%, the maximum charging power decreases curvedly as the SOC increases. In pattern 63, if the SOC is c% or less, the maximum charging power remains at 100%, but when the SOC exceeds c%, the charging power changes in a stepped manner. More specifically, in pattern 63, the maximum charging power changes in a stepped manner with two boundaries, when the SOC is c% and when the SOC is d%, respectively. Note that FIG. 5 shows examples of patterns, and the actual patterns are not limited to these.

In this embodiment, a pattern corresponding to each vehicle 5 is determined in advance by measuring the relationship between SOC and maximum charging power in advance or by obtaining design values from the manufacturer of the vehicle 5, and the pattern is stored in the storage unit 12 as maximum charging power information. The maximum charging power information may be an equation expressing the maximum charging power as a function of SOC, or a table showing the maximum charging power corresponding to each stage by dividing the SOC value into multiple stages. The maximum charging power information may be expressed as a ratio as shown in FIG. 4, or may be shown as the maximum charging power itself. The plan creation unit 13 uses the maximum charging power information stored in the storage unit 12 to determine the maximum charging power corresponding to the SOC of each vehicle 5, and creates a charging plan for the vehicle 5 using the determined maximum charging power.

The pattern may be determined for each vehicle 5, for each manufacturer of the vehicle 5, or for each model of the vehicle 5. Also, one pattern may be used for all the vehicles 5. When one pattern is used for all the vehicles 5, for example, a method such as using an average value of the measured values of the vehicles 5 of multiple manufacturers as a pattern is conceivable. Even when one pattern is used for all the vehicles 5, the accuracy of calculation of the charging time of each vehicle 5 when creating a charging plan is improved compared to when the maximum charging power is fixed at a rated value. Furthermore, by grouping the vehicles 5 according to at least one of the manufacturer and model of the vehicle 5 and defining a pattern for each group, the accuracy of calculation of the charging time of each vehicle 5 when creating a charging plan is further improved. Also, a pattern may be defined for each individual vehicle 5. When a pattern is defined for each group, correspondence information indicating which group each vehicle 5 belongs to is also stored in the maximum charging power information. For example, when the pattern differs depending on the model, the identification information of the vehicle 5 and information indicating the model of the vehicle 5 are stored as correspondence information in the maximum charging power information.

In this way, the maximum charging power information may include information indicating the relationship between the charging rate of the storage battery and the maximum charging power, which is the maximum charging power with which the storage battery can be charged, for each vehicle 5, or may include information indicating the relationship between the charging rate of the storage battery and the maximum charging power, which is the maximum charging power with which the storage battery can be charged, for each vehicle model, or may include information indicating the relationship between the charging rate of the storage battery and the maximum charging power, which is the maximum charging power with which the storage battery can be charged, for each manufacturer of vehicle 5.

Although the maximum charging power may be designed to depend on other items in addition to the SOC, it is considered that the SOC has the highest correlation with the maximum charging power. For this reason, in this embodiment, maximum charging power information indicating the relationship between the SOC and the maximum charging power is stored in the storage unit 12, and this maximum charging power information is used when creating a charging plan for the vehicle 5, thereby improving the accuracy of the charging plan for the vehicle 5. In addition to the SOC, the maximum charging power may also depend on the deterioration state of the storage battery of the vehicle 5, so the deterioration state may also be reflected in the determination of the maximum charging power. For example, the maximum charging power may be determined as a function of the SOC and information indicating the deterioration state, or a table indicating the correspondence between the SOC and information indicating the deterioration state and the maximum charging power may be used as the maximum charging power information. In addition, the information indicating the deterioration state may be divided into multiple stages, the above-mentioned pattern of the SOC and the maximum charging power may be determined for each stage, and the pattern for each stage of the deterioration state may be stored in the storage unit 12 as the maximum charging power information. The maximum charging power information is determined, for example, based on actual measurements or design values, as in the case of the SOC.

As information indicating the deterioration state of the storage battery of the vehicle 5, the cumulative operating time of the vehicle 5, the cumulative mileage of the vehicle 5, the number of times the vehicle 5 has been charged, the capacity of the storage battery of the vehicle 5, the temperature of the storage battery of the vehicle 5, etc. can be used. The cumulative operating time of the vehicle 5 can be managed by the plan creation unit 13 calculating the operating time since the vehicle 5 was newly introduced, i.e., introduced as a new car, based on the operation plan, storing it in the storage unit 12, and updating it sequentially. Similarly, the cumulative mileage of the vehicle 5 can be managed by the plan creation unit 13 calculating the mileage since the vehicle 5 was newly introduced, i.e., introduced as a new car, based on the operation plan, storing it in the storage unit 12, and updating it sequentially. In addition, since the number of times the vehicle 5 has been charged can be grasped from the charging plan or the actual results, the plan creation unit 13 can manage the cumulative number of times the vehicle has been charged by storing it in the storage unit 12 and updating it sequentially. The capacity of the storage battery of the vehicle 5 can be obtained from the vehicle 5, so by obtaining it from the vehicle 5 via the charger 42 and storing it in the memory unit 12 as storage battery state information, the plan creation unit 13 can grasp the latest capacity. Note that since the capacity of the storage battery does not change suddenly, there is no need to reflect the latest capacity value, and the update frequency of the capacity used to create the charging plan may be low. In addition, the temperature of the storage battery of the vehicle 5 cannot generally be obtained from the vehicle 5, but in the case of a vehicle type in which the temperature of the storage battery of the vehicle 5 can be obtained from the vehicle 5, it may be used as information indicating the deterioration state.

In this way, the charging power information may be charging power information indicating the relationship between the maximum charging power and information indicating the charging rate of the storage battery and the deterioration state of the storage battery. In this case, the maximum power setting unit 14 sets the maximum charging power of the storage battery of the vehicle 5 during the planning period using the maximum charging power information and information indicating the charging rate of the storage battery of the vehicle 5 during the planning period and the deterioration information of the storage battery of the vehicle 5.

The above describes an example of improving the charging plan using the relationship between SOC and maximum charging power. In this embodiment, the accuracy of the charging plan is further improved by considering the efficiency of the charger 42, that is, the ratio of the input power to the output power in the power conversion of the charger 42. FIG. 6 is a diagram showing a schematic diagram of the relationship between the load rate and efficiency of the charger 42. The load rate is the ratio of the output of the charger 42 to the rated (maximum) output of the charger 42. As shown in FIG. 6, the efficiency of the charger 42 decreases as the load rate decreases. This tendency is the same whether the charger 42 is an AC/AC converter or an AC/DC converter. The relationship between the load rate and efficiency of the charger 42 may be determined by obtaining actual measurements or design values for each model, or may be determined by actual measurements for each charger 42. Information indicating the relationship between the load rate and efficiency of the charger 42 is stored in the storage unit 12 as efficiency information. The efficiency information may be a formula indicating the relationship between the load rate and efficiency of the charger 42, or a table indicating the relationship between the load rate and efficiency.

Note that, although an example of creating a charging plan using both maximum charging power information and efficiency information will be described here, a charging plan may be created using maximum charging power information without using efficiency information, that is, treating the efficiency of charger 42 as constant. Also, a charging plan may be created using efficiency information without using maximum charging power information.

Next, an example of a method for creating a charge/discharge plan according to the present embodiment will be described. Here, a charge/discharge plan is created for 24 hours, for example, from 7:00 a.m. the next day at a time such as 6:00 p.m. or 7:00 p.m. As described above, the period for which the charge/discharge plan is created is not limited to this, and the time for which the plan is created is also not limited to this. FIG. 7 is a flowchart showing an example of a procedure for creating a charge/discharge plan in the EMS 10 according to the present embodiment. As shown in FIG. 7, the EMS 10 first determines a charging schedule using an operation plan (step S1). In detail, the plan creation unit 13 reads out the operation plan from the storage unit 12 and uses the operation plan to determine a charging schedule for the period for which the plan is created. At this time, since it is necessary to make a plan so as not to exceed the contracted power or the upper limit requested by the power company, the plan creation unit 13 assigns a charger 42 and a charging time to each vehicle 5 so that the charging time of each vehicle 5 is not concentrated in one time slot.

The charging schedule indicates a schedule in which the vehicle 5, the charger 42 to be assigned to the vehicle 5, and the charging time are provisionally determined in order to create a charging and discharging plan. For example, the plan creation unit 13 assigns one slot, that is, one hour, of charger 42 and charging time to each vehicle 5 using the return time of the vehicle 5 on the day and the operation plan for the next day. At this time, the plan creation unit 13 assigns charging time to each vehicle 5 so that each vehicle 5 is charged between the return time and the time when the vehicle 5 is in time for the first operation on the next day. For example, assume that there are two chargers 42, and that vehicle #5 is scheduled to return in the 20:00s, vehicles #2 and #4 are scheduled to return in the 21:00s, and vehicles #1, #3, and #6 are scheduled to return in the 22:00s. In this case, the plan creation unit 13 assigns charging time to vehicle #5 so that it is charged for one hour from 21:00 using one of the two chargers. In addition, the plan creation unit 13 assigns one hour of charging time from 22:00 for each of the two chargers 42 to vehicles #2 and #4. Next, the plan creation unit 13 assigns one hour of charging time from 11pm for each of the two chargers 42 to two of the vehicles #1, #3, and #6. The remaining one of the vehicles #1, #3, and #6 is assigned charging time from midnight (midnight on the day after the day of the plan creation date). The charging schedule determined here is changed according to the required charging amount for each vehicle 5 as described below, and can therefore be considered a provisional charging schedule when charging time is evenly assigned. Note that the provisional charging schedule may be determined according to the daily driving distance of the vehicle 5, the capacity of the storage battery of the vehicle 5, and the specific method of determining the charging schedule is not limited to the above-mentioned example.

After step S1, the EMS 10 calculates the charge amount required for each vehicle 5 based on the SOC and the operation plan (step S2). In detail, the plan creation unit 13 first obtains the driving distance for each vehicle 5 on the following day based on the operation plan, predicts the amount of stored electricity that will be reduced due to driving, i.e., the amount of electricity used on the following day, and updates the "amount of electricity used on the following day" in the SOC data in the storage unit 12 with the predicted value. In addition, when the vehicle 5 has returned and is being charged, the plan creation unit 13 determines the "SOC at the time of return on the day" of the SOC data based on the SOC acquired from the vehicle 5, i.e., the actual measured value, and when the SOC for the day has not been acquired from the vehicle 5, stores the value set as the "SOC at the time of return on the following day" on the previous day in the "SOC at the time of return on the same day". As described above, at this time, the "SOC at the time of return on the same day" may be set using the actually measured SOC. The plan creation unit 13 sets the value of the "SOC at the time of return on the following day" of the SOC data stored in the storage unit 12. The plan creation unit 13 calculates the required amount of charging for each vehicle 5 based on the "SOC at the time of return on the day" in the SOC data, the predicted amount of usage the next day, and the "SOC at the time of return on the next day."

Next, the EMS 10 calculates the maximum charging power for each vehicle 5 using the SOC (step S3). In detail, the maximum power setting unit 14 extracts a pattern corresponding to each vehicle 5 from the maximum charging power information stored in the memory unit 12, and calculates the maximum charging power using the charging start SOC, which is the value of the "SOC at the time of return on the day" of the vehicle 5 in the SOC data, and the required charging amount. If the maximum power information includes a pattern for each group, the plan creation unit 13 uses the group information included in the maximum power information to find the group corresponding to the vehicle 5, and extracts a pattern corresponding to the found group. Here, when charging is performed, the SOC changes with charging. For example, the SOC is the charging start SOC at the start of charging, but at the end of charging, it becomes the charging end SOC, which is the SOC obtained by adding the required charging amount converted into SOC to the charging start SOC. The maximum power setting unit 14 calculates the maximum charging power for each vehicle by extracting the portion corresponding to the charging start SOC to the charging end SOC from the pattern corresponding to each vehicle 5 and expressing it as a formula or table, and outputs the calculated maximum charging power to the plan creation unit 13.

Alternatively, the maximum power setting unit 14 may extract a portion corresponding to the SOC at the start of charging and the SOC at the end of charging from the pattern corresponding to each vehicle 5, calculate the average value of the maximum charging power corresponding to the extracted portion, and output it to the plan creation unit 13 as the maximum charging power, or may output the maximum charging power corresponding to the SOC at the start of charging and the maximum charging power corresponding to the SOC at the end of charging to the plan creation unit 13. The average value can be obtained, for example, by setting the SOC at a predetermined interval between the SOC at the start of charging and the SOC at the end of charging, and calculating the maximum charging power corresponding to each set SOC. Note that here, it is assumed that each vehicle 5 is charged with the maximum charging power. In reality, the vehicle 5 is not only charged with the maximum charging power, but also may be charged with less power than the maximum charging power depending on the settings of the charger 42 or the vehicle 5, but a case where charging with less power than the maximum charging power is considered will be described later.

Next, the EMS 10 calculates the efficiency of the corresponding charger for each vehicle 5 (step S4). In detail, the plan creation unit 13 notifies the maximum power setting unit 14 of the maximum charging power for each vehicle 5 received from the maximum power setting unit 14 together with the identification information of the charger 42 assigned to each vehicle 5 in the charging schedule. The maximum power setting unit 14 uses the information notified from the plan creation unit 13 to find the charger 42 corresponding to each vehicle 5, and reads out the efficiency information corresponding to the found charger 42 from the storage unit 12. Then, the maximum power setting unit 14 calculates the efficiency of the charger 42 using the efficiency information and the maximum charging power, and outputs it to the plan creation unit 13. If the maximum charging power is the above-mentioned average value, the maximum power setting unit 14 can use the efficiency information to find the efficiency corresponding to the maximum charging power. Also, if the maximum charging power is the maximum charging power corresponding to the SOC at the start of charging and the maximum charging power corresponding to the SOC at the end of charging, the efficiency information is used to find the average efficiency corresponding to these two maximum charging powers, and outputs it to the plan creation unit 13. In addition, when the maximum charging power is given by a formula or table of SOC, for example, the maximum charging power corresponding to the SOC from the SOC at the start of charging to the SOC at the end of charging is calculated, and the efficiency corresponding to the calculated maximum charging power is calculated, and the efficiency is calculated as a formula or table showing the relationship between SOC and efficiency, and output to the plan creation unit 13, or the average efficiency value may be output to the plan creation unit 13.

Next, the EMS 10 calculates the charging power and charging time for each vehicle 5 (step S5). In detail, the plan creation unit 13 calculates the charging power and charging time of the corresponding charger 42 for each vehicle 5 based on the charging schedule determined in step S1, the required charging amount calculated in step S2, the maximum charging power calculated in step S3, and the efficiency calculated in step S4. For example, when the maximum charging power is output as an average value in step S3, the plan creation unit 13 calculates the charging time for each vehicle 5 by dividing the required charging amount by the maximum charging power calculated in step S3, and determines the charging power of the charger 42 by multiplying the reciprocal of the efficiency of the corresponding charger 42 by the maximum charging power, and sets the determined charging power as the charging power used to charge the vehicle 5. In other words, in this example, it is assumed that the maximum charging power of the vehicle 5 is supplied to the vehicle 5 for charging, and the charger 42 determines the charging power to be used by the charger 42 so that the power output from the charger 42 becomes the maximum charging power after considering the efficiency. Alternatively, when the maximum charging power is output as an average value in step S3, the plan creation unit 13 may determine the charging time for each vehicle 5 by multiplying the maximum charging power of the vehicle 5 by the efficiency, and dividing the required charging amount by the output power. In this case, the charging power used by the charger 42 is the maximum charging power calculated in step S3.

In addition, when the maximum charging power is output as an equation or a table in step S3, the plan creation unit 13 first calculates the maximum charging power corresponding to the SOC at the start of charging, sets the time interval to a time shorter than one frame, and sets the SOC corresponding to the next time interval to the SOC when charging with the maximum charging power corresponding to the SOC at the start of charging for one time interval. Then, calculates the maximum charging power corresponding to the SOC. In this way, the maximum charging power is calculated sequentially for each time interval, reflecting the increase in SOC associated with charging, and this calculation is repeated until the SOC becomes the SOC at the end of charging, thereby calculating the charging time. Then, the reciprocal of the efficiency corresponding to the maximum charging power for each time interval is multiplied by the maximum charging power to obtain the power used by the charger 42 corresponding to each time interval, and the average value of the power used by the charger 42 during the charging time is set as the charging power of the vehicle 5. For example, the points at which the slope of the maximum charging power corresponding to the SOC changes may be obtained based on data obtained in advance, and the time interval divisions may be determined using the obtained points. Also, when the maximum charging power is output as an equation or a table in step S3, the charging time may be calculated by taking the maximum charging power of the vehicle 5 multiplied by the efficiency as the output power, and considering the change in SOC corresponding to the value obtained by dividing the required charging amount for each time interval by the output power. In this case, the average value of the maximum charging power for each time interval over the charging time is set as the charging power of the vehicle 5. The method of calculating the charging time when the maximum charging power is output as an equation or a table in step S3 and the power used by the charger 42 is not limited to this example.

In addition, if the maximum charging power output in step S3 is the maximum charging power corresponding to the SOC at the start of charging and the maximum charging power corresponding to the SOC at the end of charging, the plan creation unit 13 calculates the maximum charging time by dividing the required charging amount by the average value of these two maximum charging powers. In addition, the charging power of the charger 42 is determined by multiplying the maximum charging power by the reciprocal of the efficiency of the corresponding charger 42, and the determined charging power is set as the charging power used for charging the vehicle 5. In addition, the value obtained by multiplying the average value of the maximum charging power of the vehicle 5 by the efficiency is set as the output power, and the charging time may be obtained by dividing the required charging amount by the output power. In this case, the charging power used by the charger 42 is the average value of the maximum charging power.

The plan creation unit 13 can provisionally determine a charging plan for each vehicle 5 in the charge/discharge plan shown in FIG. 3 by setting the start time of the time frame assigned as the charging schedule as the charging start time for each vehicle 5 and reflecting the charging time and charging power calculated in step S5.

After step S5, the EMS 10 calculates the cost (step S6). In detail, the plan creation unit 13 calculates the cost required for purchasing power from the power grid 2 in the charging system 1 based on the provisionally determined charging plan for each vehicle 5. First, the plan creation unit 13 predicts the amount of power generated by the photovoltaic power generation facility 21. The prediction of the amount of power generated by the photovoltaic power generation facility 21 can be performed using a general method such as a method using past actual values and weather forecast values, and there is no particular restriction. The plan creation unit 13 creates a charging plan for the storage battery 20 based on the predicted value of the amount of power generated by the photovoltaic power generation facility 21 for the next day, and predicts the remaining amount of the storage battery 20 at the start of the nighttime period when the vehicle 5 is mainly charged. Then, the plan creation unit 13 calculates the cost for the plan creation period for each time period using the charging time and charging power of each vehicle calculated in step S5 and the electricity price stored in the storage unit 12, and holds the calculated cost. The cost C is calculated, for example, by the following formula (1). Note that t is an integer indicating a time frame, and Σ in the following formula (1) indicates the sum of the time frames in the period for which the plan is created. For example, if one frame is one hour and the period for which the plan is created is 24 hours, Σ indicates the sum of the 24 values for each time frame. Furthermore, E(t) is the unit price of electricity in time frame t, and P(t) is the power purchased in time frame t.
C=Σ(E(t)×P(t))...(1)

The power P(t) to be purchased is the sum of the charging power of the charger 42 in each time frame minus the power due to the discharge of the storage battery 20. The plan creation unit 13 allocates the power due to the discharge of the storage battery 20, for example, in the order of the time frame with the highest electricity rate. If the charging system 1 does not have the storage battery 20, the power P(t) to be purchased is the sum of the charging power of the charger 42 in each time frame. Before calculating the cost in step S6, the plan creation unit 13 determines whether or not the upper limit value requested by the contract power or the power company is exceeded in each time frame, and if there is a time frame that exceeds the upper limit value requested by the contract power or the power company, the cost is not held. Based on the charging schedule in step S1, a tentative charging schedule is determined so as not to exceed the upper limit value requested by the contract power or the power company by rough estimation using the rated value, but if the charging time and charging power are calculated in detail as described above, the charging time may deviate and a time frame may occur that exceeds the upper limit value requested by the contract power or the power company. Therefore, here, it is determined again whether there is a time frame that exceeds the upper limit value requested by the contracted power or the power company. Furthermore, if it is determined here that there is a time frame that exceeds the upper limit value requested by the contracted power or the power company, this may be reflected in the change of the charging schedule in step S9 described below. For example, for a certain vehicle 5, if the charging time is long in the time frame provisionally determined as the charging schedule and allocating one frame is not enough, two time frames are allocated to the vehicle 5 in the charging schedule in step S9 described below.

Next, EMS 10 judges whether the charging schedule can be changed (step S7). As described above, when creating a charging/discharging plan, it is necessary to satisfy the constraint that the plan must not exceed the contracted power or the upper limit requested by the power company, and the constraints set by the operation plan. Therefore, in detail, in step S7, if there is a combination of allocations of chargers 42 and charging times to each vehicle 5 for which the cost has not been calculated in step S6, within the range that satisfies these constraints, the plan creation unit 13 judges in step S7 that the charging schedule can be changed.

If the charging schedule can be changed (step S7: Yes), the EMS 10 changes the charging schedule (step S9), and the process from step S4 is repeated. In detail, in step S9, the plan creation unit 13 selects one of the combinations of charger 42 and charging time allocations to each vehicle 5 that satisfy the above-mentioned constraints and for which the cost has not been calculated in step S6, and changes the charging schedule according to the selected combination.

If the charging schedule cannot be changed (step S7 No), the EMS 10 determines a charging/discharging plan based on the cost (step S8) and ends the process. In detail, in step S8, the plan creation unit 13 determines a charging/discharging plan using the charging time and charging power of each vehicle 5 that are the smallest among the costs corresponding to each charging schedule stored, and stores the plan in the memory unit 12. The command generation unit 16 generates a charging command or a discharging command to the charger 42 and the storage battery PCS 43 based on the charging/discharging plan stored in the memory unit 12, and transmits the generated command via the communication unit 11. Note that, here, an example has been described in which the EMS 10, which is a charging plan creation device, has the function of generating and transmitting commands, but the charging plan creation device only needs to create a charging plan for the vehicle 5 and does not need to have the function of generating and transmitting commands.

In the above example, a procedure for calculating the cost corresponding to each tentatively determined charging schedule is shown, but the charging and discharging plan may be calculated as a solution to an optimization problem. In this case, the above formula (1) may be used as an objective function, and the above-mentioned constraints may be used as constraint conditions to determine the allocation of chargers 42 to each vehicle 5 and the charging start and end times.

In the above example, the charge/discharge plan was determined to minimize the cost, i.e., the expenses. However, this is not limiting. For example, the charge/discharge plan may be created under the condition that the cost does not have to be minimized but is sufficient as long as it is below a certain value, or the charge/discharge plan may be created to optimize another indicator.

In the above example, the maximum charging power is calculated using the SOC. However, as described above, if the maximum charging power is calculated using information indicating the deterioration state, such as the driving distance, driving time, and capacity, the maximum charging power can be calculated in step S2 using the information indicating the deterioration state in addition to the SOC.

In the above example, the vehicle 5 is charged with the maximum charging power of the vehicle 5, but depending on the vehicle 5, a plurality of charging powers may be available. That is, depending on the setting of the vehicle 5 or the setting of the charger 42, the power corresponding to an SOC of a% or less may be set lower than the maximum charging power for charging. In such a case, the pattern stored as the maximum charging power information will differ depending on the charging power to be set. FIG. 8 is a schematic diagram showing the relationship between the SOC and the maximum charging power when a plurality of charging powers can be set. FIG. 8 shows the relationship between the SOC and the maximum charging power corresponding to each setting when the charging power can be set to three levels.

FIG. 8 shows a pattern in which three stages of charging power are possible in the vehicle 5 corresponding to the pattern 61, taking the pattern 61 shown in FIG. 5 as an example. If the setting corresponding to the pattern 61, that is, the setting in which the ratio of the maximum charging power is 100% when the SOC is a% or less , is set as the mode #1, in the example shown in FIG. 8, it is possible to set the mode #2 in which the ratio of the maximum charging power is less than 100% when the SOC is a% or less than the mode #1, and the mode #3 in which the ratio of the maximum charging power is less than the mode #2 when the SOC is a% or less than the mode #2. The pattern 64 shown in FIG. 8 corresponds to the mode #2, and the pattern 65 shown in FIG. 8 corresponds to the mode #3. In such a case, by storing a pattern corresponding to each mode as the maximum charging power information and using the pattern according to the mode to be set, it is possible to create a highly accurate charging plan as described above.

In this way, when the value of the maximum charging power when the SOC is equal to or lower than a% can be set by selecting from a plurality of powers, a plurality of pieces of charging power information may be defined corresponding to each of the plurality of powers. Then, the plan creation unit 13 creates a charging plan using the charging power information corresponding to the power selected from the plurality of powers among the charging power information.

Figure 8 shows pattern 61 shown in Figure 5 as an example, but similarly for patterns 62 and 63 shown in Figure 5, if multiple charging powers can be set, the patterns corresponding to each mode are stored as maximum charging power information.

In order to set multiple modes in this way, it is assumed that both the charger 42 and the vehicle 5 are capable of operating in accordance with these modes. For example, the plan creation unit 13 performs steps S1 to S4 on the premise that the initial value is set to the above-mentioned mode #1, i.e., the mode in which the maximum charging power is the greatest, and if there is a time frame after the above-mentioned step S5 that exceeds the contracted power or the upper limit requested by the power company, the plan creation unit 13 may change the mode for charging the vehicle 5 and have the maximum power setting unit 14 and the efficiency setting unit 15 recalculate the charging time, charging time, and efficiency of the charger 42, and perform the processing from step S6 onwards, reflecting the recalculated results.

Alternatively, steps S1 to S4 may be performed on the assumption that the initial value is set to the above-mentioned mode #2, i.e., the mode in which the maximum charging power is intermediate, and if there is a margin up to the upper limit value requested by the contract power or the power company, the maximum power setting unit 14 and the efficiency setting unit 15 may be made to recalculate the charging time, the charging time, and the efficiency of the charger 42 on the assumption that the above-mentioned mode #1 is set, and the processing from step S6 onwards may be performed reflecting the recalculated result. Alternatively, a selection result of whether to prioritize suppression of peak power or to end charging early may be received from the user, and the initial mode of each vehicle 5 may be set according to the selection result. Also, the EMS 10 may receive an input from the user of which mode to set for each vehicle 5. Also, the EMS 10 may receive an input from the user of which mode to set for each time period.

Furthermore, after step S5, EMS 10 may compare the maximum charging power of vehicle 5 with the rated value of the charger 42 assigned to the vehicle 5, and if the difference between the two is large, may change the charger 42 assigned to the vehicle 5. For example, after step S5, EMS 10 may change the charging schedule to assign a charger 42 with a smaller rated value if the rated value of the charger 42 is much larger than the maximum charging power of the vehicle 5.

Specifically, the EMS 10 is realized by a computer system. FIG. 9 is a diagram showing an example of the configuration of a computer system that realizes the EMS 10 of this embodiment. As shown in FIG. 9, this computer system includes a control unit 101, an input unit 102, a memory unit 103, a display unit 104, a communication unit 105, and an output unit 106, which are connected via a system bus 107.

9, the control unit 101 is, for example, a CPU (Central Processing Unit) or the like. The control unit 101 executes a charging plan creation program in which the charge/discharge management method of this embodiment is described. The input unit 102 is, for example, composed of a keyboard, a mouse, etc., and is used by the user of the computer system to input various information. The storage unit 103 includes various memories such as a RAM (Random Access Memory) and a ROM (Read Only Memory) and a storage device such as a hard disk, and stores the program to be executed by the control unit 101, necessary data obtained in the process of processing, etc. The storage unit 103 is also used as a temporary storage area for the program. The display unit 104 is composed of an LCD (Liquid Crystal Display) or the like, and displays various screens to the user of the computer system. The communication unit 105 is, for example, a communication circuit that performs communication processing. The communication unit 105 may be composed of a plurality of communication circuits corresponding to a plurality of communication methods. The output unit 106 is an output interface that outputs data to an external device such as a printer or an external storage device. Note that FIG. 9 is just an example, and the configuration of the computer system is not limited to the example in FIG. 9.

Here, an example of the operation of the computer system until the charging plan creation program of this embodiment is in a state where it can be executed will be described. In the computer system having the above-mentioned configuration, for example, the charging plan creation program is installed in the storage unit 103 from a CD-ROM drive or DVD-ROM set in a CD (Compact Disc)-ROM or DVD (Digital Versatile Disc)-ROM drive (not shown). Then, when the charging plan creation program is executed, the charging plan creation program read from the storage unit 103 is stored in the storage unit 103. In this state, the control unit 101 executes processing as the EMS 10 of this embodiment according to the charging plan creation program stored in the storage unit 103.

In the above explanation, a program describing the processing in EMS 10 is provided on a CD-ROM or DVD-ROM as a recording medium. However, this is not limiting. Depending on the configuration of the computer system and the capacity of the program provided, for example, a program provided via a transmission medium such as the Internet via the communication unit 105 may be used.

The plan creation unit 13, maximum power setting unit 14, efficiency setting unit 15, and command generation unit 16 shown in FIG. 2 are realized by the control unit 101 shown in FIG. 9. The plan creation unit 13, maximum power setting unit 14, efficiency setting unit 15, and command generation unit 16 are also realized by the memory unit 103 shown in FIG. 9. The memory unit 12 shown in FIG. 2 is part of the memory unit 103 shown in FIG. 9. The communication unit 11 shown in FIG. 2 is realized by the communication unit 105 shown in FIG. 9.

The charging plan creation program of this embodiment causes a computer system to execute, for example, the steps of setting the maximum charging power of the storage battery of vehicle 5 during the planning period using charging power information indicating the relationship between the SOC of the storage battery of vehicle 5 and the maximum charging power, which is the maximum charging power with which the storage battery of vehicle 5 can be charged, and the SOC of the storage battery of vehicle 5 during the planning period, which is the period for which the charging plan is created, and the steps of determining the charging amount of the storage battery of vehicle 5 during the planning period using an operation plan, and creating a charging plan using the charging amount and the set maximum charging power.

In the above example, the creation of a charging plan for a storage battery of vehicle 5, which is an example of a mobile body, was given as an example, but the charging plan creation method of this embodiment can be similarly applied to the creation of charging plans for other mobile bodies equipped with storage batteries as described above. Furthermore, it can be applied to the creation of charging plans not only for storage batteries installed in mobile bodies, but also for other storage batteries such as stationary storage batteries.

As described above, in this embodiment, the charging plan for vehicle 5 is created taking into account the relationship between the SOC of vehicle 5 and the maximum charging power, so the accuracy of the charging plan can be improved. This can prevent problems such as charging not being completed by the time the vehicle 5 is scheduled to be used, or charging taking longer, resulting in charging at a time when electricity rates are higher than planned.

Embodiment 2.
10 is a diagram showing a configuration example of an EMS according to the second embodiment. The configuration of the charging system according to the present embodiment is the same as that of the charging system 1 according to the first embodiment, except that an EMS 10a is provided instead of the EMS 10. Hereinafter, components having the same functions as those in the first embodiment are given the same reference numerals as those in the first embodiment, and duplicated explanations will be omitted. Below, differences from the first embodiment will be mainly explained.

As shown in FIG. 10, the EMS 10a, which is a charge/discharge plan creation device of the second embodiment, includes a memory unit 12a and a maximum power setting unit 14a instead of the memory unit 12 and the maximum power setting unit 14 of the first embodiment, and a learning unit 17 is added, but other than that, it is the same as the EMS 10 of the first embodiment.

In the first embodiment, information indicating the relationship between the SOC and the maximum charging power is stored in advance in the storage unit 12, and a charging plan for the vehicle 5 is created taking into consideration the relationship between the maximum charging power and the SOC of the vehicle 5. In the present embodiment, the learning unit 17 generates a learned model by machine learning the relationship between the SOC and the maximum charging power using the actual value of the SOC acquired from the vehicle 5 and the actual value of the charging power acquired from the charger 42 or the vehicle 5.

As described in the first embodiment, each charger 42 acquires the identification information and SOC of the vehicle 5 from the vehicle 5 via the connection unit 45 and transmits them to the EMS 10a. The EMS 10a stores the received information in the memory unit 12a as storage battery state information in association with the date and time. Note that the identification information of the vehicle 5 may be obtained by the EMS 10a using an image captured by a camera as described in the first embodiment. The communication unit 11 also stores the actual charging power value from the vehicle 5 via the charger 42 in the memory unit 12a as actual information. This actual value may be information indicating the charging power itself, or may be a value indicating the charging power for calculating the charging power, such as the charging current and charging voltage.

The learning unit 17 grasps the charger 42 corresponding to the vehicle 5 from the performance information stored in the memory unit 12a using the charge and discharge plan stored in the memory unit 12a for each vehicle 5, extracts information indicating the charging power of the charger 42 corresponding to the vehicle 5, and extracts the SOC of the vehicle 5 corresponding to the extracted date and time from the storage battery state information stored in the memory unit 12a. Then, the learning unit 17 sets the vehicle 5 and the SOC and charging power that match the date and time as one set of data, generates a learned model by machine learning using multiple data sets as learning data for each vehicle 5, and stores the model in the memory unit 12a. In this data set, the charging power is an actual value obtained from the charger 42, and corresponds to the correct answer data in the learning data. In this way, the learning unit 17 generates a learned model using learning data including the actual value of the SOC of the storage battery of the vehicle 5 and the actual value of the maximum charging power of the storage battery of the vehicle 5. The learning unit 17 generates a learned model, for example, by supervised machine learning. This trained model is a trained model for inferring the maximum charging power of the storage battery of vehicle 5 from the SOC of the storage battery of vehicle 5.

That is, in this embodiment, the learned model is charging power information, and the learned model is a learned model for inferring the maximum charging power of the storage battery of vehicle 5 from the SOC of the storage battery of vehicle 5. Furthermore, the maximum power setting unit 14a sets the result obtained by inputting the SOC of the storage battery of vehicle 5 during the planning period into the learned model as the maximum charging power of the storage battery.

Any algorithm may be used for supervised learning, but for example, a neural network model may be used. A neural network is composed of an input layer consisting of multiple neurons, an intermediate layer (hidden layer) consisting of multiple neurons, and an output layer consisting of multiple neurons. The intermediate layer may be one layer, or two or more layers.

Figure 11 is a schematic diagram showing an example of a neural network. For example, in a three-layer neural network as shown in Figure 11, when multiple inputs are input to the input layer (X1-X3), the values are multiplied by weight W1 (w11-w16) and input to the intermediate layer (Y1-Y2), and the result is further multiplied by weight W2 (w21-w26) and output from the output layer (Z1-Z3). This output result changes depending on the values of weights W1 and W2.

In this embodiment, the weights W1 and W2 are adjusted so that the output from the output layer approaches the correct data when the features of the above-mentioned learning data are input to the input layer, and the relationship between the features and the correct data is learned. Note that the machine learning algorithm is not limited to a neural network.

Here, an example of generating a trained model for each vehicle 5 has been described, but as described in embodiment 1, a trained model may be generated for each group that is divided according to at least one of vehicle type and manufacturer. When a trained model is generated for each group, the learning unit 17 generates a trained model using the above-mentioned training data for multiple vehicles 5 belonging to one group. When generating a trained model common to all vehicles 5 that are charged by the charging system 1, the learning unit 17 generates a trained model using the above-mentioned training data for all vehicles 5 that are charged by the charging system 1.

The learning unit 17 may also perform machine learning using the identification information and SOC of the vehicle 5 as input data and a set of data consisting of the input data and the charging power, which is the correct answer data corresponding to the input data. In this case, the number of data constituting the learning data increases, but there will be only one trained model. Similarly, the learning unit 17 may perform machine learning using at least one of the vehicle model and manufacturer and the SOC as input data and a set of data consisting of the input data and the charging power, which is the correct answer data corresponding to the input data.

As described in the first embodiment, the trained model may be generated using information indicating the degradation state, such as the mileage, driving time, and capacity, in addition to the SOC. That is, the trained model may be a trained model for inferring the maximum charging power of the storage battery of the vehicle 5 from the SOC of the storage battery of the vehicle 5 and information indicating the degradation state of the storage battery of the vehicle 5. In this case, the learning unit 17 obtains, for each vehicle 5, information indicating the degradation state corresponding to the same date and time as the SOC and charging power, and uses these as a set of data to generate the trained model. Note that, since the influence of the information indicating the degradation state on the charging power is considered to be gentler than the influence of the SOC on the charging power, the information indicating the degradation state may be updated less frequently.

The maximum power setting unit 14a reads out the learned model stored in the memory unit 12a, and calculates the maximum charging power corresponding to each SOC by inputting the charging start SOC, charging end SOC, etc., determined in the same manner as in the first embodiment, into the learned model. When the maximum power setting unit 14a outputs the charging power from the charging start to the charging end to the plan creation unit 13, the maximum power setting unit 14a calculates the maximum charging power by inputting the SOC values set at the SOC intervals determined between the charging start SOC and the charging end SOC into the learned model, and calculates the average value of the calculated maximum charging power. When the maximum power setting unit 14a outputs the charging power corresponding to the charging start SOC and the charging end SOC to the plan creation unit 13, the maximum power setting unit 14a calculates the maximum charging power by inputting the charging start SOC and the charging end SOC into the learned model, respectively. In addition, when the maximum charging power corresponding to the SOC is output to the plan creation unit 13 using a table or the like, the maximum power setting unit 14a creates a table using the maximum charging power obtained by inputting the SOC values set according to the SOC increments in the table between the SOC at the start of charging and the SOC at the end of charging into the learned model.

In addition, when the learned model is a learned model for inferring the maximum charging power of the storage battery of vehicle 5 from information indicating the SOC of the storage battery of vehicle 5 and the deterioration state of the storage battery of vehicle 5, the maximum power setting unit 14a sets the result obtained by inputting information indicating the SOC of the storage battery of vehicle 5 and the deterioration state of the storage battery of vehicle 5 during the planning period into the learned model as the maximum charging power of the storage battery of vehicle 5.

Other than as described above, the operation of this embodiment is the same as that of embodiment 1, and the plan creation unit 13 creates a charging plan in the same manner as embodiment 1, using the maximum charging power calculated as described above.

In the example shown in FIG. 10, the efficiency information is determined in advance, as in the first embodiment, but the relationship between the charging power and the efficiency may be learned by machine learning, as in the relationship between the SOC and the maximum charging power. In this case, actual information indicating the input power and output power of the charger 42 is used.

In addition, instead of the information obtained from the vehicle 5 as the actual value of the charging power, the actual value of the charging power at the charger 42 may be obtained from the charger 42 and stored as actual information in the memory unit 12a in association with the date and time. When the actual value of the charger 42 is used, if this actual value is the actual value of the output power of the charger 42, learning is performed by the same process as when the actual value of the charging power of the vehicle 5 is used. When the actual value of the input power of the charger 42 is used, the learning unit 17 can similarly perform learning by converting the actual value of the input power into the actual value of the output power using the efficiency information and the efficiency of each charger 42.

Alternatively, learning may be performed using the actual value of the input power of the charger 42, including the efficiency of each charger 42. In this case, the learning unit 17 creates a learned model using, for example, the SOC and the actual value of the input power of the charger 42 as a data set for each combination of the vehicle 5 and the charger 42. Alternatively, a learned model may be created using the SOC and the actual value of the input power of the charger 42 as a data set for each combination of the group and the charger 42, or, when a common learned model is used for all vehicles 5 that are charged by the charging system 1, a learned model may be created using the SOC and the actual value of the input power of the charger 42 as a data set for each charger 42. In addition, the identification information of the charger 42 may be included in the learning data. In this way, when creating a learned model using the SOC and the actual value of the input power of the charger 42, efficiency is also taken into consideration, so the EMS 10a does not need to be provided with the efficiency setting unit 15, and there is no need to store efficiency information in the memory unit 12a.

For example, during initial operation, EMS 10a may create a charging plan using predetermined maximum charging power information as in embodiment 1, and generate a trained model when a certain amount of performance information has been obtained. In addition, after generating the trained model, EMS 10a may update the trained model using performance information and battery status information obtained thereafter.

The EMS 10a of this embodiment is also realized by a computer system, similar to the EMS 10 of the first embodiment. The computer system functions as the EMS 10a by executing the charging plan creation program of this embodiment. The learning unit 17 of this embodiment is realized by, for example, the control unit 101 of FIG. 9.

In the example shown in FIG. 10, EMS 10a both generates a learned model and infers the maximum charging power using the learned model, but a learning device that generates the learned model may be provided separately from EMS 10a. That is, a learning device including the learning unit 17 of EMS 10a may be provided separately from EMS 10a, and the learning device may acquire performance information and storage battery information, generate a learned model, and store this learned model in the memory unit 12a of EMS 10a. In this case, EMS 10a does not need to include the learning unit 17, and performance information does not need to be stored in the memory unit 12a.

As described above, in this embodiment, the maximum charging power is calculated from the SOC using a trained model for inferring the maximum charging power from the SOC, which is generated by machine learning, and the calculated maximum charging power is used to create a charging plan for the vehicle 5. This provides the same effects as in the first embodiment, and can improve the accuracy of calculating the maximum charging power from the SOC.

The configurations shown in the above embodiments are merely examples, and may be combined with other known technologies, or the embodiments may be combined with each other. In addition, parts of the configurations may be omitted or modified without departing from the spirit of the invention.

1 Charging system, 2 Power system, 3 Transformer, 5-1 to 5-n Vehicle, 10, 10a EMS, 11 Communication unit, 12, 12a Memory unit, 13 Plan creation unit, 14, 14a Maximum power setting unit, 15 Efficiency setting unit, 16 Command generation unit, 17 Learning unit, 20 Storage battery, 21 Photovoltaic power generation equipment, 40 DC bus, 41 Converter, 42-1 to 42-n Charger, 43 Storage battery PCS, 44 DC load, 45-1 to 45-n Connection unit.

Claims (15)

A charging plan creation device that creates a charging plan for a storage battery in a charging system including a plurality of chargers capable of charging the storage battery of a mobile object, comprising:
a maximum power setting unit that sets a maximum charging power of the storage battery during a plan creation target period using charging power information indicating a relationship between a charging rate of the storage battery and a maximum charging power that is a maximum charging power with which the storage battery can be charged, and the charging rate of the storage battery during the plan creation target period that is a target period for creating the charging plan;
a plan creation unit that determines a charge amount of the storage battery during the plan creation period using an operation plan of the moving body, and creates the charging plan using the charge amount and the maximum charging power set by the maximum power setting unit;
an efficiency setting unit that sets an efficiency when charging the storage battery using efficiency information indicating a correspondence between a charging power of the charger and an efficiency indicating a ratio of an output power of the charger to an input power of the charger, and the maximum charging power set by the maximum power setting unit;
Equipped with
The charging plan creation device is characterized in that the plan creation unit creates the charging plan by using the efficiency set by the efficiency setting unit . the charging system is capable of charging a plurality of the mobile objects;
2. The charging plan creation device according to claim 1, wherein the charging power information includes information indicating a relationship between a charging rate of the storage battery and a maximum charging power that is a maximum charging power with which the storage battery can be charged, for each of the mobile objects. the charging system is capable of charging a plurality of the mobile objects;
2. The charging plan creation device according to claim 1, wherein the charging power information includes information indicating a relationship between a charging rate of the storage battery for each vehicle type of the mobile body and a maximum charging power that is a maximum charging power with which the storage battery can be charged. the charging system is capable of charging a plurality of the mobile objects;
The charging plan creation device according to claim 1, characterized in that the charging power information includes information indicating a relationship between a charging rate of the storage battery for each manufacturer of the mobile body and a maximum charging power that is a maximum charging power with which the storage battery can be charged. 5. The charging plan creation device according to claim 1, wherein the plan creation unit creates the charging plan so as to minimize costs. A charging plan creation device that creates a charging plan for a storage battery in a charging system including a plurality of chargers capable of charging the storage battery of a mobile object, comprising:
a maximum power setting unit that sets a maximum charging power of the storage battery during a plan creation target period using charging power information indicating a relationship between a charging rate of the storage battery and a maximum charging power that is a maximum charging power with which the storage battery can be charged, and the charging rate of the storage battery during the plan creation target period that is a target period for creating the charging plan;
a plan creation unit that determines a charge amount of the storage battery during the plan creation period using an operation plan of the moving body, and creates the charging plan using the charge amount and the maximum charging power set by the maximum power setting unit;
Equipped with
the storage battery is capable of selecting and setting a value of the maximum charging power when the charging rate is equal to or lower than a predetermined value less than 100% from a plurality of powers;
The charging power information is determined in a plurality of pieces corresponding to the plurality of powers,
The charging plan creation device, wherein the plan creation unit creates the charging plan by using the charging power information corresponding to a power selected from the plurality of powers among the charging power information. the charging power information is charging power information indicating a relationship between information indicating a charging rate of the storage battery and a deterioration state of the storage battery, and the maximum charging power;
The charging plan creation device according to any one of claims 1 to 6, characterized in that the maximum power setting unit sets the maximum charging power of the storage battery during the plan creation period using the charging power information and information indicating the charging rate of the storage battery during the plan creation period and deterioration information of the storage battery. 8. The charging plan creation device according to claim 1, wherein the charging power information is determined in advance. A charging plan creation device that creates a charging plan for a storage battery in a charging system including a plurality of chargers capable of charging the storage battery of a mobile object, comprising:
a maximum power setting unit that sets a maximum charging power of the storage battery during a plan creation target period using charging power information indicating a relationship between a charging rate of the storage battery and a maximum charging power that is a maximum charging power with which the storage battery can be charged, and the charging rate of the storage battery during the plan creation target period that is a target period for creating the charging plan;
a plan creation unit that determines a charge amount of the storage battery during the plan creation period using an operation plan of the moving body, and creates the charging plan using the charge amount and the maximum charging power set by the maximum power setting unit;
Equipped with
the charging power information is a learned model for inferring a maximum charging power of the storage battery from a charging rate of the storage battery,
The charging plan creation device is characterized in that the maximum power setting unit sets the result obtained by inputting the charging rate of the storage battery during the plan creation period into the learned model as the maximum charging power of the storage battery. A charging plan creation device that creates a charging plan for a storage battery in a charging system including a plurality of chargers capable of charging the storage battery of a mobile object, comprising:
a maximum power setting unit that sets a maximum charging power of the storage battery during a plan creation target period using charging power information indicating a relationship between a charging rate of the storage battery and a maximum charging power that is a maximum charging power with which the storage battery can be charged, and the charging rate of the storage battery during the plan creation target period that is a target period for creating the charging plan;
a plan creation unit that determines a charge amount of the storage battery during the plan creation period using an operation plan of the moving body, and creates the charging plan using the charge amount and the maximum charging power set by the maximum power setting unit;
Equipped with
the charging power information is a learned model for inferring a maximum charging power of the storage battery from information indicating a charging rate of the storage battery and a deterioration state of the storage battery;
The charging plan creation device is characterized in that the maximum power setting unit sets the result obtained by inputting information indicating the charging rate of the storage battery and the deterioration state of the storage battery during the plan creation period into the learned model as the maximum charging power of the storage battery. a learning unit that generates the trained model using learning data including an actual value of the charging rate of the storage battery and an actual value of the maximum charging power of the storage battery;
The charging plan creation device according to claim 9 , further comprising: a learning unit that generates the trained model using learning data including an actual value of the charging rate of the storage battery, an actual value of information indicating a degradation state of the storage battery, and an actual value of a maximum charging power of the storage battery;
The charging plan creation device according to claim 10 , further comprising: A plurality of chargers capable of charging storage batteries of a mobile object;
A charging plan creation device that creates a charging plan for the storage battery;
Equipped with
The charging plan creation device includes:
a maximum power setting unit that sets a maximum charging power of the storage battery during a plan creation target period using charging power information indicating a relationship between a charging rate of the storage battery and a maximum charging power that is a maximum charging power with which the storage battery can be charged, and the charging rate of the storage battery during the plan creation target period that is a target period for creating the charging plan;
a plan creation unit that determines a charge amount of the storage battery during the plan creation period using an operation plan of the moving body, and creates the charging plan using the charge amount and the maximum charging power set by the maximum power setting unit;
an efficiency setting unit that sets an efficiency when charging the storage battery using efficiency information indicating a correspondence between a charging power of the charger and an efficiency indicating a ratio of an output power of the charger to an input power of the charger, and the maximum charging power set by the maximum power setting unit;
Equipped with
The charging system according to claim 1, wherein the plan creation unit creates the charging plan by using the efficiency set by the efficiency setting unit . A charging plan creation method in a charging plan creation device that creates a charging plan for a storage battery in a charging system including a plurality of chargers capable of charging the storage battery of a mobile object, comprising:
setting a maximum charging power of the storage battery during a plan creation target period using charging power information indicating a relationship between a charging rate of the storage battery and a maximum charging power that is a maximum charging power with which the storage battery can be charged, and the charging rate of the storage battery during a plan creation target period that is a target period for creating the charging plan;
setting an efficiency when charging the storage battery using efficiency information indicating a correspondence between a charging power of the charger and an efficiency indicating a ratio of an output power of the charger to an input power of the charger, and the set maximum charging power;
determining a charge amount of the storage battery during the plan creation period using an operation plan of the moving body, and creating the charging plan using the charge amount, the set maximum charging power, and the set efficiency ;
A charging plan creating method comprising: A computer system for creating a charging plan for a storage battery in a charging system including a plurality of chargers capable of charging a storage battery of a mobile body,
setting a maximum charging power of the storage battery during a plan creation target period using charging power information indicating a relationship between a charging rate of the storage battery and a maximum charging power that is a maximum charging power with which the storage battery can be charged, and the charging rate of the storage battery during a plan creation target period that is a target period for creating the charging plan;
setting an efficiency when charging the storage battery using efficiency information indicating a correspondence between a charging power of the charger and an efficiency indicating a ratio of an output power of the charger to an input power of the charger, and the set maximum charging power;
determining a charge amount of the storage battery during the plan creation period using an operation plan of the moving body, and creating the charging plan using the charge amount, the set maximum charging power, and the set efficiency ;
A charging plan creation program that causes a user to execute the above steps.

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