JP7168179B2 - Electric vehicle battery type identification method and electric vehicle battery type identification device - Google Patents

Description

The present invention relates to an electric vehicle battery type identification method and an electric vehicle battery type identification device.

In the field of automobiles, there has recently been a rapid shift to electric vehicles (EVs) in which a motor driven by electric power from a charged battery is used as a propulsion force. Therefore, expansion of charging service stations is required.

Conventionally, as a charging method for charging, a method such as a flat-rate charging method in which a fixed amount is paid each time the battery is charged, or a method such as a monthly flat-rate charging method have been used. However, since a fixed amount of payment is required regardless of the amount of charging, there is an undeniable sense of unfairness among users. For this reason, it has been proposed to perform billing similar to metered charges based on changes in the remaining charge (SOC) of the battery (see Patent Document 1, for example). In the billing method using the SOC, a charging unit price per 1% is set, and a charging rate obtained by multiplying the filling ratio (%) by the charging unit price is adopted.

On the other hand, with the recent shift to electric vehicles, the number of types of electric vehicles deployed in the market is increasing. Along with this, the types of batteries mounted on electric vehicles are also increasing. Furthermore, there are electric vehicles that are equipped with different types of batteries even though they are the same model. Different types of batteries naturally have different charge capacities. Therefore, in spite of charging the same SOC 1%, the amount of electric power actually charged differs greatly depending on the battery type. Therefore, the billing method using the SOC has a problem that it becomes unfair among users if left as it is. Moreover, it is troublesome for the service station staff to visually confirm the battery type each time the battery is charged. Therefore, it is required to automatically identify the battery type.

JP 2015-041299 A

One aspect of the present invention provides a method and apparatus capable of automatically identifying the battery type of an electric vehicle in order to provide users with a fair charging service fee according to charging power.

A battery type identification method for an electric vehicle according to one aspect of the present invention includes:
inputting charging parameter data defining a group of battery charging parameters from an electric vehicle arriving at a charging service station for charging via a charging cable for charging a battery mounted on the electric vehicle;
a step of extracting a plurality of specific parameters specific to a battery type of a battery mounted on an electric vehicle from a group of battery charging parameters;
a step of extracting at least one battery type of batteries mounted in an electric vehicle using a database storing information on a plurality of battery types, using some of the plurality of unique parameters;
a step of uniquely identifying a battery type from among at least one battery type of the extracted batteries using some other parameters among the plurality of unique parameters, and outputting the result;
characterized by comprising

Further, as the plurality of unique parameters, first to third unique parameters are used,
extracting at least one battery type by searching a database for battery types corresponding to the first and second characteristic parameters;
It is preferable to uniquely identify, from among at least one battery type, the battery type for which the value of the third characteristic parameter falls within the allowable range.

a step of identifying a data format type of the input charging parameter data from among a plurality of data format types;
determining whether the identified data format type is of a first or second type;
extracting a fourth specific parameter from among the set of battery charging parameters if the determined data format type is of the first type;
a step of identifying a battery type of a battery mounted on an electric vehicle that corresponds to a fourth characteristic parameter using a database storing information on a plurality of battery types related to the first type, and outputting the result;
further comprising
A plurality of specific parameters are preferably extracted if the determined data format type is of the second type.

According to another aspect of the present invention, a battery type identification method for an electric vehicle includes:
a step of registering the battery type of the battery mounted on the electric vehicle;
Each time an electric vehicle arrives at a charging service station for charging, charging parameter data defining a group of battery charging parameters is input from the electric vehicle via a charging cable for charging the battery installed in the electric vehicle. and
extracting and recording a specific parameter among the input battery charging parameters according to the data format type of the charging parameter data each time the electric vehicle arrives at the charging service station for charging;
each time the electric vehicle arrives at the charging service station for charging, calculating the difference between the previously recorded specific parameter and the currently extracted specific parameter;
determining whether the difference is within a threshold each time the electric vehicle arrives at the charging service station for charging;
specifying and outputting that the battery installed in the electric vehicle is of the registered battery type if the difference is within the threshold each time the electric vehicle arrives at the charging service station for charging;
characterized by comprising

According to one aspect of the present invention, an electric vehicle battery type identification device includes:
an input unit for inputting a battery charging parameter group from an electric vehicle arriving at a charging service station for charging via a charging cable for charging a battery mounted on the electric vehicle;
a first extraction unit for extracting a plurality of specific parameters specific to a battery type of a battery mounted on an electric vehicle from a group of battery charging parameters;
a second extraction unit that extracts at least one battery type of batteries mounted in an electric vehicle using a database storing information on a plurality of battery types, using some of the plurality of specific parameters; ,
a specifying unit that uniquely specifies a battery type from among at least one battery type of the extracted batteries using some other parameters among the plurality of unique parameters;
an output unit that outputs the identified result;
characterized by comprising

According to one aspect of the present invention, it is possible to automatically identify the battery type of an electric vehicle. Therefore, it is possible to provide the user with a fair charging service fee according to the charging power of the battery type.

1 is an example of a configuration diagram showing the configuration of a charging and charging system for an electric vehicle according to Embodiment 1; FIG. 1 is a configuration diagram showing an example of an internal configuration of a charging service management device according to Embodiment 1; FIG. 1 is a configuration diagram showing an example of an internal configuration of a quick charger according to Embodiment 1; FIG. FIG. 4 is a flow chart diagram showing main steps of a charging method according to Embodiment 1; 1 is a configuration diagram showing part of the internal configuration of an electric vehicle according to Embodiment 1; FIG. 4 is a diagram showing an example of charging parameter data in Embodiment 1; FIG. 4 is a diagram showing an example of a fee table according to Embodiment 1; FIG. FIG. 9 is a configuration diagram showing an example of the internal configuration of a charging service management device according to Embodiment 2; FIG. 10 is a flow chart diagram showing main steps of a charging method in Embodiment 2;

Embodiment 1.
FIG. 1 is an example of a configuration diagram showing the configuration of a charge billing system for an electric vehicle according to Embodiment 1. As shown in FIG. In FIG. 1 , the charge billing system 100 includes a charge service management device 10 and a charge service station (SS) 20 . The charging service management device 10 and the charging service station (SS) 20 are arranged so as to be able to communicate with each other via the Internet (an example of a network).

A quick charger 22 (an example of a charger) is arranged at the charging service station 20 . Also, a user (customer) of the electric vehicle 32 drives (arrives) the electric vehicle (EV) 32 to the charging service station 20, and charges the battery 38 (battery) mounted in the electric vehicle 32 from the quick charger 22. will be charged. The battery 38 is controlled by the controller 33 inside the electric vehicle 32 . A user (customer) 30 of the electric vehicle 32 has an ID card 37 . Although the example of FIG. 1 shows the case where the charging service management device 10 is arranged outside the charging service station 20, it is not limited to this. For example, the charging service management device 10 may be arranged inside the quick charger 22 .

FIG. 2 is a configuration diagram showing an example of the internal configuration of the charging service management device according to Embodiment 1. As shown in FIG. 2, the charging service management device 10 includes a communication control circuit 50, a memory 51, a registration unit 52, a charger control unit 53, an ID reception unit 54, an ID authentication unit 55, an authentication result output unit 56, a parameter reception unit. 57, format identification unit 58, format determination unit 59, extraction unit 60, extraction unit 61, identification unit 62, extraction unit 63, identification unit 64, SOC difference data reception unit 65, charge calculation unit 65, charge information output unit 67, and storage devices 80, 82, 85 such as magnetic disk devices. Registration unit 52, charger control unit 53, ID reception unit 54, ID authentication unit 55, authentication result output unit 56, parameter reception unit 57, format identification unit 58, format determination unit 59, extraction unit 60, extraction unit 61, identification Each of the "sections" such as the section 62, the extraction section 63, the identification section 64, the SOC difference data reception section 65, the charge calculation section 65, and the charge information output section 67 includes a processing circuit. Circuits, computers, processors, circuit boards, or semiconductor devices are included. Also, each of the "-units" may use a common processing circuit (same processing circuit). Alternatively, different processing circuits (separate processing circuits) may be used. Registration unit 52, charger control unit 53, ID reception unit 54, ID authentication unit 55, authentication result output unit 56, parameter reception unit 57, format identification unit 58, format determination unit 59, extraction unit 60, extraction unit 61, identification Necessary input data or calculated results in the unit 62, the extraction unit 63, the identification unit 64, the SOC difference data reception unit 65, the charge calculation unit 65, and the charge information output unit 67 are stored in the memory 51 each time.

Further, in the storage device 80, for each ID information (identifier) registered in the ID card 37 of the user 30, an individual ID such as the name of the user 30 associated with the ID information of the ID card 37 of the user 30 is stored. A registered information database (DB) 81 is registered in which registered information such as information, the model, model year, number, and battery type of the electric vehicle 32 of the user 30 is defined so as to be searchable. Such information is registered in advance or when the ID card 37 is issued at the time of initial charging. Registration in the registration information database (DB) 81 is performed by the registration unit 52 .

Also stored in the storage device 82 is a battery type information database 83 in which various parameters for each type of existing battery that can be used in the electric vehicle 32 are defined in a searchable manner. Further, among various parameters of each battery type, as will be described later, a threshold value table 84 is stored in which a threshold value of a variation range is defined for each battery type for parameters whose values fluctuate.

Further, in the storage device 85, for each type of existing battery that can be used in the electric vehicle 32, a charge indicating the unit price of the electric energy charged per 1% of the SOC (state of charge) of the battery 38 is stored. A table 86 is defined. The SOC is defined as remaining battery capacity (kWh)/total battery capacity (kWh)×100, and indicates a so-called charging rate (%) of the battery 38 . The unit price defined in the charge table 86 is not limited to one for each battery type. It is also preferable to define a plurality of unit prices according to charging time periods and the like.

3 is a configuration diagram showing an example of the internal configuration of the quick charger according to Embodiment 1. FIG. 3, the quick charger 22 includes a memory 101, an ID information input unit 102, an output unit 104, a charging determination unit 106, a charging control unit 108, a charging power supply unit 110, a parameter input unit 112, an output unit 114, an SOC Calculation unit 115, SOC difference calculation unit 116, SOC difference output unit 117, charge input unit 118, and charge output unit 119 are arranged. ID information input unit 102, output unit 104, charging determination unit 106, charging control unit 108, charging power supply unit 110, parameter input unit 112, output unit 114, SOC calculation unit 115, SOC difference calculation unit 116, SOC difference output unit 117 , charge input unit 118, and charge output unit 119 each include a processing circuit, and the processing circuit includes an electric circuit, computer, processor, circuit board, semiconductor device, or the like. Also, each of the "-units" may use a common processing circuit (same processing circuit). Alternatively, different processing circuits (separate processing circuits) may be used. ID information input unit 102, output unit 104, charging determination unit 106, charging control unit 108, charging power supply unit 110, parameter input unit 112, output unit 114, SOC calculation unit 115, SOC difference calculation unit 116, SOC difference output unit 117 , the charge input unit 118, and the charge output unit 119, necessary input data or calculation results are stored in the memory 101 each time.

FIG. 4 is a flowchart showing main steps of the charging method according to the first embodiment. 4, the charging method in Embodiment 1 includes an ID information input step (S102), an ID authentication step (S104), a charging cable connection step (S106), a charging parameter data input step (S108), a format Identification step (S109), determination step (S110), characteristic parameter extraction step (S112), battery type extraction step (S114), battery type identification step (S116), total battery capacity (2) extraction step ( S120), a battery type identifying step (S122), a charging step (S140), and a billing step (S142).

As an ID information input step (S102), the user (customer) carries the ID card 37 and goes to the charging service station (SS) 20 in the electric vehicle 32. FIG. Then, the user or the worker causes the quick charger 22 charged in the charging service station (SS) 20 to read the contents of the ID card 37 . For example, the ID card 37 is held over the reader or touched. With this operation, the ID information input unit 102 in the quick charger 22 inputs the ID information of the ID card 37 possessed by the user 30 who has arrived at the charging service station (SS) 20 . Then, the output unit 104 outputs the input ID information to the charging service management device 10 via a network such as the Internet. At that time, information (SS information) that can identify the charging service station (SS) 20 is also transmitted together with the ID information. For example, information such as the SS name can be cited.

In the charging service management device 10 , the ID reception section 54 receives ID information and SS information via the communication control circuit 50 . The received ID information and SS information are output to ID authentication section 55 .

As the ID authentication step (S104), the ID authentication unit 55 receives (inputs) the ID information of the user 30, refers to the registration information database 81 stored in advance in the storage device 80, and compares the ID information and the registration information. to match. Then, the authentication result is output to the authentication result output unit 56 . Authentication result output unit 56 outputs the authentication result to quick charger 22 via communication control circuit 50 .

In the quick charger 22, the charging determination unit 106 receives the authentication result (charging availability information) and determines charging availability. For example, if the ID information is registered in the registration information database 81 as a result of collation, it is determined that charging is possible. If it is determined that charging is possible, information prompting the connection of the charging cable is displayed, for example, on a display panel (not shown) of the quick charger 22 . If the ID information is not registered in the registration information database 81, it is determined that charging is impossible. If it is determined that the battery cannot be charged, an alarm is output. In such a case, information prompting the user 30 to reissue or reregister the ID card 37 is displayed on a display panel (not shown) of the quick charger 22, for example.

FIG. 5 is a configuration diagram showing part of the internal configuration of the electric vehicle according to the first embodiment. FIG. 5 shows an example of a configuration for charging the electric vehicle 32 according to the first embodiment. A control unit 33 , an interface (I/F) circuit 35 , a battery 38 , and a connector 39 are arranged inside the electric vehicle 32 . The battery 38 is controlled by the controller 33 . The connector 39 is arranged at a position connectable from the exterior surface of the electric vehicle 32 . If it is a gasoline car, it corresponds to a filler port. A main line for charging and a control line for outputting a control signal are connected to the connector 39 . It is preferable that the control line is protected by a shield line so as not to be affected by the main line and/or the outside.

As a charging cable connection step ( S<b>106 ), the worker or user 30 of the charging service station (SS) 20 connects the charging cable extending from the quick charger 22 to the connector 39 . When the charging cable is connected to connector 39, control unit 33 outputs charging parameter data defining a plurality of charging parameters. The charging parameter data is converted into a signal communicable with the quick charger 22 by the I/F circuit 35 and output to the quick charger 22 through the control line. The charging parameter data is repeatedly output to the quick charger 22 through the control line at predetermined sampling intervals (for example, several milliseconds to several seconds) during charging.

6 is a diagram showing an example of charging parameter data according to Embodiment 1. FIG. The charging parameter data is defined in a plurality of different formats depending on the model year or vehicle type of the electric vehicle 32 . In the example of FIG. 6A, for example, in the data format of type A, parameter a, parameter b, parameter c, parameter d, . . . are defined as charging parameter data. For example, the upper limit of battery durability as parameter a, the total battery capacity (1) as parameter b, the charging sequence control number as parameter c, the upper limit of rechargeable battery as parameter d, the remaining battery capacity as parameter e, . etc. are defined.

On the other hand, in the example of FIG. 6(b), for example, in the data format of type B, parameters a', parameters b', parameters c', parameters d', . For example, as parameter a', the upper limit of battery durability, as parameter b', the total battery capacity (2) and constant 100, as parameter c', the charging sequence control number, as parameter d', the upper limit of rechargeable battery, and parameter e'. , charging rate (%), etc. are defined. The above-described total battery capacity (1) and total battery capacity (2) use the same name, but are defined differently. For example, the total battery capacity (1) varies depending on the state of the battery 38 (deterioration and/or temperature, etc.). On the other hand, the total battery capacity (2) is defined as a fixed value (for example, a new catalog value). For example, the SOC of the battery 38 of the electric vehicle 32 to which the filling parameter data in the type A data format is output can be obtained by the remaining battery capacity/total battery capacity (1). On the other hand, the SOC of the battery 38 of the electric vehicle 32 for which the filling parameter data in the type B data format is output is uniquely known by the charging rate (%), but according to the calculation method using the type A data format , charging rate (%)/constant 100.

As described above, with the recent shift to electric vehicles, the number of types of electric vehicles on the market is increasing. Along with this, the types of batteries mounted on electric vehicles are also increasing. Furthermore, there are electric vehicles that are equipped with different types of batteries even though they are the same model. Moreover, the battery type registered in the registration information associated with the ID card 37 does not necessarily match the battery type of the battery 38 actually mounted on the electric vehicle 32 . For example, a car model with a small battery capacity is registered in one's own ID card 37, and the electric car 32 actually connected to the quick charger 22 is someone else's car equipped with a large-capacity battery 38. can also occur. Different types of batteries naturally have different charge capacities. Therefore, in spite of charging the same SOC 1%, the amount of electric power actually charged differs greatly depending on the battery type. Therefore, the billing method using the SOC has a problem that it becomes unfair among users if left as it is. Moreover, it is troublesome for the service station staff to visually confirm the battery type each time the battery is charged.

Therefore, in Embodiment 1, the battery type is automatically specified using the charging parameter data. Among the above examples, in the filling parameter data in the data format of type B, a fixed value (for example, a catalog value when new) is defined as the total battery capacity (2). The battery type can be uniquely identified. However, among the above examples, with the charging parameter data in the data format of type A, the total battery capacity (1) fluctuates due to deterioration of the battery 38, etc. Therefore, it is necessary to uniquely specify the battery type from such a value. is difficult. Therefore, in Embodiment 1, the battery type is specified as follows by using a combination of other parameters.

As the charging parameter data input step ( S<b>108 ), in the quick charger 22 , the parameter input unit 112 inputs charging parameter data, and the output unit 114 outputs the charging parameter data to the charging service management device 10 .

In the charging service management device 10, a parameter receiving unit 57 (input unit) receives electricity arriving at the charging service station 22 for charging via a charging cable for charging the battery 38 mounted on the electric vehicle 32. Charging parameter data in which a group of battery charging parameters is defined is input from the vehicle 32 . In other words, parameter receiver 57 receives charging parameter data via communication control circuit 50 .

As a format specifying step (S109), format specifying unit 58 specifies the data format type of the input charging parameter data from among a plurality of data format types. For example, the data format type can be identified from the charging sequence management number of the parameter c (or c') of the input charging parameter data. For example, the version value of the charging specification of the electric vehicle 32 is defined as the charging sequence management number. For example, it is possible to specify whether the data format is the old type A data format or the new type B data format based on the value of the version.

As a determination step (S110), format determination unit 59 determines whether the specified data format type is type A (second type) or type B (first type). If it is type A, it proceeds to the characteristic parameter extraction step (S112). If it is not type A (if it is type B), it proceeds to the total battery capacity (2) extraction step (S120).

As the characteristic parameter extraction step (S112), the extraction unit 60 (first extraction unit) extracts a plurality of characteristic parameters specific to the battery type (battery type) of the battery 38 mounted on the electric vehicle 32 from the battery charging parameter group. Extract parameters. If the determined data format type is type A (second type), a plurality of specific parameters are extracted. Among parameters a, parameter b, parameter c, parameter d, . In other words, there are so-called fingerprint-like parameters (fingerprint data) of the battery 38 . For example, the battery durability upper limit (first specific parameter), the rechargeable battery upper limit (second specific parameter), and the total battery capacity (1) (third specific parameter) are listed. However, only one of these may not be enough to uniquely identify the battery type. Therefore, in Embodiment 1, the battery type is identified using these multiple unique parameters.

In the battery type extraction step (S114), the extraction unit 61 (second extraction unit) extracts the battery type information DB 83 that stores information on a plurality of battery types using some of the plurality of unique parameters. to extract at least one battery type of the battery 38 mounted on the electric vehicle 32. Here, as some of the parameters, the battery durability upper limit and the rechargeable battery upper limit are used. At least one battery type is extracted by searching the battery type information DB 83 for battery types corresponding to the battery withstand strength upper limit value and the rechargeable battery upper limit value. Here, we extract at least one battery type that applies to both of these values.

In the battery type identification step (S116), the identification unit 62 uniquely identifies the battery type from among at least one battery type of the extracted batteries 38 using some other parameters among the plurality of unique parameters. Identify. The total battery capacity (1) is used as another parameter. The identifying unit 62 uniquely identifies, from at least one battery type, a battery type for which the value of the total battery capacity (1) falls within the allowable range. As described above, the value of the total battery capacity (1) defined in the type A charging parameter data may fluctuate due to temperature, deterioration, and the like of the battery 38 . However, the variation range differs depending on the battery type. Therefore, the specifying unit 62 refers to a threshold table 84 that defines a threshold value (permissible range) of the variation range for each battery type with respect to the battery total capacity (1) whose value varies, and extracts at least one battery. A battery type whose total battery capacity (1) value falls within the allowable range is uniquely identified from among the types. Information on the identified battery type is output to charge calculation unit 65 . If the value of the total battery capacity (1) does not fall within the allowable range among the extracted at least one battery type, an alarm is output. Preferably, the alarm is transmitted to the quick charger 22 via a transmitter (not shown) and output to a display panel (not shown) of the quick charger 22 or the like.

As the total battery capacity (2) extraction step (S120), the extraction unit 63 extracts the total battery capacity ( 2) Extract the (fourth unique parameter). Unlike the type A charging parameter data, the parameters a′, b′, c′, d′, . There are possible parameters. In other words, there are so-called fingerprint-like parameters (fingerprint data) of the battery 38 . For example, the total battery capacity (2) can be mentioned. In the total battery capacity (2), a fixed value (catalog value) of the total battery capacity is defined and does not fluctuate, so the battery type can be uniquely specified.

As the battery type identification step (S122), the identification unit 64 uses the battery type information DB 83 that accumulates information on a plurality of battery types related to type B (first type) to determine the amount of electricity corresponding to the total battery capacity (2). The battery type of the battery 38 mounted on the automobile 32 is specified. Information on the identified battery type is output to charge calculation unit 65 . If the battery type corresponding to the total battery capacity (2) does not exist, an alarm is output. Preferably, the alarm is transmitted to the quick charger 22 via a transmitter (not shown) and output to a display panel (not shown) of the quick charger 22 or the like.

As described above, the battery type can be automatically specified using the parameters output from the electric vehicle 32 itself, instead of depending on the registration information or the like linked to the ID card 37 or the like.

As the charging step ( S<b>140 ), the charger control unit 53 controls the quick charger 22 to charge the battery 38 of the electric vehicle 32 arriving at the charging service station 20 . A specific description will be given below.

First, in quick charger 22, when parameter input unit 112 inputs charging parameter data, SOC calculation unit 115 calculates the current SOC. In other words, the initial SOC is calculated before charging. The SOC of the battery 38 of the electric vehicle 32 to which the filling parameter data in the type A data format is output can be obtained by the remaining battery capacity/total battery capacity (1). On the other hand, the SOC of the battery 38 of the electric vehicle 32 to which the filling parameter data in the type B data format is output can be obtained by charging rate (%)/constant 100. Here, since the calculation method is adapted regardless of the type, the calculation can be performed even if the format type of the charging parameter data is not known.

Then, under the control of the charging control unit 108, the charging power supply unit 110 converts the AC power supplied to the charging service station 20 into DC power that can be charged to the electric vehicle 32, while Rapid charging of the battery 38 is started. Charging power supply unit 110 terminates charging when the SOC reaches 100%. Alternatively, even if the SOC is any value less than 100%, the user (customer) can decide to terminate charging.

When charging is started, while the parameter values such as the remaining battery capacity change during charging, the charging parameter data is converted into a signal that can be communicated with the quick charger 22 by the I/F circuit 35, and is rapidly transmitted through the control line. It is output to the charger 22 . Therefore, in the quick charger 22, it is possible to grasp parameters that change every moment due to charging. SOC calculation continues during charging. The calculated SOC that changes every second is displayed on a display panel (not shown) of quick charger 22 .

When charging ends, SOC difference calculation unit 116 calculates an SOC difference by subtracting the SOC at the start of charging from the SOC at the end of charging. The calculated SOC difference data is output to the charging service management device 10 .

As the billing step ( S<b>142 ), first, the SOC difference data receiving unit 65 receives the SOC difference data via the communication control circuit 50 . Then, charge calculation unit 65 calculates the charge charge at a unit price according to the specified battery type. Specifically, the charge calculation unit 65 refers to a charge table 86 indicating the unit price of the amount of electric power charged per 1% SOC of the battery 38 for each battery type, Reads the unit price of the electric energy to be charged. Then, the SOC difference data receiving unit 65 multiplies the unit price by the SOC difference (%) indicated by the SOC difference data to calculate the charge for the charged electric energy.

FIG. 7 is a diagram showing an example of a charge table according to Embodiment 1. FIG. In FIG. 7, the battery type (battery type) and SOC 1% unit price are defined in relation to each battery type in the charge table 86 . Further, the charge table 86 may be changed according to, for example, the charging time period, and it is preferable that a plurality of charge tables 86 created for each charging time period are stored in the storage device 85 . The calculated charge is output to quick charger 22 by charge information output unit 67 as charge information together with information on the specified battery type (specification result).

In quick charger 22, charge input unit 118 inputs charge information, and the content of the charge information is displayed on a display panel (not shown). For example, information indicating the battery type and the billing amount are displayed. The user 30 then pays the displayed amount in cash, credit card, or the like. Alternatively, the fee may be charged to an account of a dedicated ID card. Alternatively, the fee may be charged by a settlement system using blockchain technology.

As described above, according to Embodiment 1, the battery type of the electric vehicle 32 can be automatically specified. Therefore, it is possible to provide the user with a fair charging service fee according to the charging power of the battery type.

Embodiment 2.
In Embodiment 1, the configuration for searching for the battery type using the battery type information database 83 has been described, but the method for identifying the battery type of the battery 38 actually installed in the electric vehicle 32 is limited to this. is not. In Embodiment 2, a configuration for specifying the battery type of the battery 38 that is actually mounted without using the battery type information database 83 will be described. An example of a configuration diagram showing the configuration of the charging and billing system for an electric vehicle according to Embodiment 2 is the same as FIG. Contents other than those specifically described below are the same as those in the first embodiment.

FIG. 8 is a configuration diagram showing an example of the internal configuration of the charging service management device according to the second embodiment. In FIG. 8, instead of the extraction unit 60, the extraction unit 61, the identification unit 62, the identification unit 64, and the storage device 82, , and the storage device 87 are the same as in FIG. In addition, performance data 88 is stored in the storage device 87 .

8, a registration unit 52, a charger control unit 53, an ID reception unit 54, an ID authentication unit 55, an authentication result output unit 56, a parameter reception unit 57, a format identification unit 58, a format determination unit 59, an extraction unit 63, an extraction Each of the “- units” such as the unit 70, the recording/updating unit 71, the difference calculation unit 72, the determination unit 73, the identification unit 74, the SOC difference data reception unit 65, the charge calculation unit 65, and the charge information output unit 67 performs processing. A circuit includes a processing circuit, such as an electrical circuit, a computer, a processor, a circuit board, or a semiconductor device. Also, each of the "-units" may use a common processing circuit (same processing circuit). Alternatively, different processing circuits (separate processing circuits) may be used. Registration unit 52, charger control unit 53, ID reception unit 54, ID authentication unit 55, authentication result output unit 56, parameter reception unit 57, format identification unit 58, format determination unit 59, extraction unit 63, extraction unit 70, recording The necessary input data or calculated results are updated in the update unit 71, the difference calculation unit 72, the determination unit 73, the identification unit 74, the SOC difference data reception unit 65, the charge calculation unit 65, and the charge information output unit 67 each time. It is stored in memory 51 .

FIG. 9 is a flow chart showing main steps of a charging method according to the second embodiment. 9, the charging method in Embodiment 2 includes an ID registration (first time) step (S101), an ID information input step (S102), an ID authentication step (S104), and a charging cable connection step. (S106), a charging parameter data input step (S108), a format specifying step (S109), a determination step (S110), a total battery capacity (2) extraction step (S120), and a total battery capacity (1) extraction step. a step (S132), a difference calculation step (S134), a recording/updating step (S136), a determination step (S138), a battery type identification step (S139), a charging step (S140), and a charging step (S142). ) and a series of steps.

As the ID registration (at the first time) step ( S101 ), the registration unit 52 registers the battery type of the battery mounted on the electric vehicle 32 . Specifically, when the user 30 arrives at the charging service station 20 for charging for the first time, the ID card 37 is issued and the ID card of the user 30 is issued for each ID information (identifier) registered in the ID card 37 of the user 30. The registration unit 52 stores registered information such as personal information such as the name of the user 30, the model, year, model number, and battery type of the electric vehicle 32 of the user 30 in relation to the ID information 37 in the registration information DB 81. to register. In such a case, it is preferable for the worker at the charging service station 20 to visually confirm whether the registered information is correct. Especially in the second embodiment, it is confirmed that the registered battery type matches the battery type of the battery 38 actually mounted on the electric vehicle 32 .

An ID information input step (S102), an ID authentication step (S104), a charging cable connection step (S106), a charging parameter data input step (S108), a format identification step (S109), and a determination step (S110). , are the same as in the first embodiment. However, in the determination step (S110), if the result of determination is type A, the process proceeds to the total battery capacity (1) extraction step (S132). If it is not type A (if it is type B), it proceeds to the total battery capacity (2) extraction step (S120).

As the total battery capacity (1) extraction step (S132), the extraction unit 70 extracts the input data according to the data format type of the charging parameter data each time the electric vehicle 32 arrives at the charging service station 20 for charging. Extract a specific parameter from the set of battery charging parameters. Of the parameters a, b, c, d, . The total battery capacity (1) may change depending on the state of the battery 38, as described above.

As the total battery capacity (2) extraction step (S120), the extraction unit 63 extracts the total battery capacity ( 2) is extracted. In the total battery capacity (2), a fixed value (catalog value) of the total battery capacity is defined and does not fluctuate.

As the difference calculation step (S134), the difference calculation unit 72 calculates the difference between the previously recorded specific parameter and the currently extracted specific parameter each time the electric vehicle 32 arrives at the charging service station 20 for charging. Compute the difference. Since there is no previous record at the time of the first charge, it is omitted. For the second and subsequent charging, the difference between the previously recorded specific parameter and the currently extracted specific parameter is calculated.

In the recording/updating step (S136), the recording/updating unit 71 stores the value of the specific parameter extracted this time as the performance data 88 in association with the ID information (identifier) registered in the ID card 37. Store in device 87 . In other words, for type A, the value of the total battery capacity (1) extracted this time is stored in the storage device 87 as the performance data 88 . If it is type B, the value of the total battery capacity (2) extracted this time is stored in the storage device 87 as the performance data 88 . When storing, it is preferable to store the filling date and time together. It is also preferable to overwrite and update the previously recorded specific parameters.

As a determination step (S138), determination unit 73 determines whether the calculated difference is within a threshold each time electric vehicle 32 arrives at charging service station 20 for charging. In the case of type A, the value of total battery capacity (1) can fluctuate, so there are cases where the difference is a finite value other than zero. On the other hand, in the case of type B, the value of total battery capacity (2) is a fixed value, so the difference should be zero. Note that an alarm is output when the difference deviates from the threshold. Preferably, the alarm is transmitted to the quick charger 22 via a transmitter (not shown) and output to a display panel (not shown) of the quick charger 22 or the like.

As the battery type identification step (S139), the identification unit 74 identifies the battery 38 mounted on the electric vehicle 32 if the difference is within the threshold each time the electric vehicle 32 arrives at the charging service station 20 for charging. is the registered battery type. In other words, if the total battery capacity (1) or the total battery capacity (2) varies little between charges, it is assumed that the battery installed in the electric vehicle 32 is the same as the previous one. Therefore, if the correct battery type is registered at the time of the first charge, it is sufficient to confirm the amount of change from the previous time at the time of the second and subsequent charges. The determination threshold value may be appropriately set according to the performance data.

The contents of the charging step (S140) and the billing step (S142) are the same as in the first embodiment.

As described above, according to Embodiment 2, the battery type of the electric vehicle 32 can be automatically specified without using the battery type information database 83 . Therefore, it is possible to provide the user with a fair charging service fee according to the charging power of the battery type.

The embodiments have been described above with reference to specific examples. However, the invention is not limited to these specific examples. Examples of the specified battery type described above include the name, model, or standard of the battery type. However, the specified battery type is not limited to this, and may be, for example, the total battery capacity value (catalog value) when the battery is new. If the total battery capacity (SOC=100%) that does not fluctuate is known, the electric energy required for SOC 1% can be known. If the amount of power required for SOC 1% is known, the unit price of the amount of power charged per SOC 1% can be obtained.

In addition, descriptions of parts that are not directly necessary for the explanation of the present invention, such as the device configuration and control method, are omitted, but the required device configuration and control method can be appropriately selected and used.

In addition, all electric vehicle battery type identification methods and electric vehicle battery type identification devices that have the elements of the present invention and that can be appropriately modified by those skilled in the art are included in the scope of the present invention.

10 charging service management device 20 charging service station 22 quick charger 30 user side 32 electric vehicle 33 control unit 35 I/F circuit 37 ID card 38 battery 39 connector 50 communication control circuit 51 memory 52 registration unit 53 charger control unit 54 ID Reception unit 55 ID authentication unit 56 Authentication result output unit 57 Parameter reception unit 58 Format identification unit 59 Format determination units 60, 61, 63, 70 Extraction units 62, 64 Identification unit 65 SOC difference data reception unit 66 Charge calculation unit 67 Charge information Output unit 71 Recording/updating unit 72 Difference calculation unit 73 Judgment unit 74 Identification unit 80, 82, 85, 87 Storage device 81 Registered information DB
83 Battery type information DB
84 threshold table 86 charge table 88 performance data 100 charge billing system 101 memory 102 ID information input unit 104 output unit 106 charge determination unit 108 charge control unit 110 charge power supply unit 112 parameter input unit 114 output unit 115 SOC calculation unit 116 SOC difference calculation Unit 117 SOC difference output unit 118 Charge input unit 119 Charge output unit

Claims (5)

inputting charging parameter data defining a group of battery charging parameters from an electric vehicle arriving at a charging service station for charging via a charging cable for charging a battery mounted on the electric vehicle;
a step of extracting a plurality of specific parameters specific to a battery type of a battery mounted on the electric vehicle from the battery charging parameter group;
a step of extracting at least one battery type of batteries mounted on the electric vehicle using a database storing information on a plurality of battery types, using some of the plurality of unique parameters;
a step of uniquely identifying a battery type from among at least one battery type of the extracted batteries using some other parameters among the plurality of specific parameters, and outputting the result;
A battery type identification method for an electric vehicle, comprising: First to third unique parameters are used as the plurality of unique parameters,
extracting the at least one battery type by searching the database for battery types corresponding to the first and second characteristic parameters;
2. The method for identifying a battery type for an electric vehicle according to claim 1, wherein a battery type whose value of said third characteristic parameter falls within an allowable range is uniquely identified from among said at least one battery type. identifying a data format type of the input charging parameter data from among a plurality of data format types;
determining whether the identified data format type is of a first or second type;
extracting a fourth specific parameter from the group of battery charging parameters if the determined data format type is the first type;
identifying a battery type of a battery mounted on the electric vehicle that corresponds to the fourth characteristic parameter using a database storing information on a plurality of battery types related to the first type, and outputting the result; ,
further comprising
3. The method of specifying a battery type for an electric vehicle according to claim 1, wherein the plurality of unique parameters are extracted when the determined data format type is the second type. a step of registering the battery type of the battery mounted on the electric vehicle;
charging defined battery charging parameters from the electric vehicle via a charging cable for charging the battery installed in the electric vehicle each time the electric vehicle arrives at a charging service station for charging; entering parameter data;
extracting and recording a specific parameter from the set of input battery charging parameters according to a data format type of charging parameter data each time the electric vehicle arrives at the charging service station for charging; When,
calculating a difference between a previously recorded specific parameter and a current extracted specific parameter each time the electric vehicle arrives at the charging service station for charging;
determining whether the difference is within a threshold each time the electric vehicle arrives at the charging service station for charging;
each time the electric vehicle arrives at the charging service station for charging, if the difference is within the threshold, identifying that the battery installed in the electric vehicle is the registered battery type, and outputting and
A battery type identification method for an electric vehicle, comprising: an input unit for inputting charging parameter data defining a group of battery charging parameters from an electric vehicle arriving at a charging service station for charging via a charging cable for charging a battery mounted on the electric vehicle;
a first extraction unit that extracts, from the battery charging parameter group, a plurality of specific parameters specific to a battery type of a battery mounted on the electric vehicle;
A second extraction of extracting at least one battery type of batteries mounted on the electric vehicle using a database storing information on a plurality of battery types, using some of the plurality of unique parameters. Department and
a specifying unit that uniquely specifies a battery type from among at least one battery type of the extracted batteries, using some other parameters among the plurality of unique parameters;
an output unit that outputs the identified result;
A battery type identification device for an electric vehicle, comprising:

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