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CN113033872A - New energy automobile charging scheduling method - Google Patents

New energy automobile charging scheduling method Download PDF

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Publication number
CN113033872A
CN113033872A CN202110219110.7A CN202110219110A CN113033872A CN 113033872 A CN113033872 A CN 113033872A CN 202110219110 A CN202110219110 A CN 202110219110A CN 113033872 A CN113033872 A CN 113033872A
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charging
license plate
charged
electric vehicle
electric
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甘守武
杨发明
刘汶星
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Chongqing College of Electronic Engineering
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Chongqing College of Electronic Engineering
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/62Text, e.g. of license plates, overlay texts or captions on TV images
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Abstract

The invention relates to the technical field of charging, and particularly discloses a new energy automobile charging scheduling method, which comprises the following steps: s1, when the electric automobile is connected to the charging pile for charging, the charging station collects the license plate number and the charging data, and establishes a charging file for each electric automobile based on the charging data; s2, receiving license plate numbers of vehicles running in a preset area of the charging station, and screening out the license plate numbers of the electric vehicles from the license plate numbers of the running vehicles; s3, matching the screened license plate number of the electric automobile with the license plate number associated with the charging file; if the matching is successful, jumping to S4; s4, judging whether the current time belongs to the average arrival time period in the license plate number associated charging file, and if so, jumping to S5; s5, marking the electric automobile corresponding to the license plate number as the electric automobile to be charged; and S6, distributing the charging time period based on the electric automobile to be charged and the accessed electric automobile. By adopting the technical scheme of the invention, the accuracy of the charging time interval distribution in a prediction mode can be improved.

Description

New energy automobile charging scheduling method
Technical Field
The invention relates to the technical field of charging, in particular to a new energy automobile charging scheduling method.
Background
Today that environmental protection and resource protection received attention increasingly, as novel vehicle, electric automobile compares fuel automobile not only can reduce the oil energy resource consumption and can also realize zero pollutant discharge, and electric automobile replaces fuel automobile gradually becomes a trend. However, as electric vehicles are developed, their charging needs are increasing. In the present situation, after the electric vehicle reaches the charging station, the electric vehicle starts to be charged at the maximum charging power until the charging station is fully charged, and the charging strategy is used by most domestic charging stations.
The charging station is used as a main place for charging the electric automobile, and is influenced by the disordered charging behavior of the existing electric automobile, so that the electric load of the charging station is high and the fluctuation is large. The existing charging strategy not only affects the stability of the power grid operation, but also increases the operation cost and the operation efficiency of the charging station and reduces the safety of the charging station.
Therefore, chinese patent publication No. CN110271448B discloses a charging scheduling method, a charging scheduling system, and a charging station for a charging station, wherein the method includes: acquiring the required charging amount, the starting charging time, the ending charging time, the maximum charging power and the rated power of a transformer of the charged electric automobile; acquiring peak power electricity prices in a settlement period and time-of-use electricity prices corresponding to different time slots; acquiring charging demand power of different electric vehicles in different time slots according to the demand charging amount, the starting charging time, the ending charging time, the maximum charging power and the rated power of a transformer in the charging station by combining the peak power price and the time-of-use price; and performing power supply output according to the charging demand power.
According to the scheme, reasonable distribution of the charging time period of the electric automobile can be achieved, but the data such as the required charging amount, the starting charging time and the ending charging time of the charged electric automobile are acquired through the electric automobile which is connected into the charging pile. In other words, the distribution is only performed according to the current situation, the distribution is only effective for the current situation, the charging demand in a future period of time is not considered, the limitation is large, the required charging amount changes after other electric vehicles are connected in the future period of time, the charging period needs to be redistributed, and the purpose of prediction cannot be achieved. For this reason, in the prior art, the electric vehicle which has been scheduled to be charged in the future period of time is also included in the data analyzed and predicted, but this requires the vehicle owner to actively perform the reservation operation, and only covers a small part of the electric vehicles. The accuracy of the charging period distribution in a prediction mode is improved slightly.
For this reason, a new energy vehicle charging scheduling method capable of improving the accuracy of allocating the charging period in a predictive manner is required.
Disclosure of Invention
The invention provides a new energy automobile charging scheduling method which can improve the accuracy of charging time interval distribution in a prediction mode.
In order to solve the technical problem, the present application provides the following technical solutions:
a new energy automobile charging scheduling method comprises the following steps:
s1, when the electric vehicle is connected to a charging pile for charging, the charging station collects the license plate number and charging data, a charging file is established for each electric vehicle based on the charging data, the charging file is associated with the license plate number, and the charging file comprises an average arrival time period, an average departure time period and an average required charging amount;
s2, receiving license plate numbers of vehicles running in a preset area of the charging station, and screening out the license plate numbers of the electric vehicles from the license plate numbers of the running vehicles;
s3, matching the screened license plate number of the electric automobile with the license plate number associated with the charging file; if the matching is successful, jumping to S4;
s4, judging whether the current time belongs to the average arrival time period in the license plate number associated charging file, and if so, jumping to S5;
s5, marking the electric automobile corresponding to the license plate number as the electric automobile to be charged;
and S6, distributing the charging time period based on the electric automobile to be charged and the accessed electric automobile.
The basic scheme principle and the beneficial effects are as follows:
in this scheme, for the electric automobile that the access was filled electric pile and is charged establishes the archives that charge, can preserve electric automobile's charging data. Receiving license plate numbers of running vehicles in a preset area of a charging station, and screening out the license plate numbers of the electric vehicles from the license plate numbers of the running vehicles; and matching the license plate number of the screened electric automobile with the license plate number associated with the charging archive, wherein if the matching is successful, the electric automobiles corresponding to the license plate numbers have charging histories at the charging station, and if the current time belongs to the average arrival time period of the corresponding electric automobile, the probability that the electric automobile currently goes to the charging station for charging is higher, so that the corresponding electric automobile can be marked as the electric automobile to be charged.
In conclusion, according to the scheme, the electric vehicles to be charged in the preset area of the charging station can be predicted and brought into the distribution of the charging time period in advance, and the accuracy of distributing the charging time period in a prediction mode can be improved.
Further, the method also comprises S7, when the electric vehicle to be charged does not access charging in the average arrival time period, the mark of the electric vehicle to be charged is cancelled, and the charging time period is distributed for the existing electric vehicle to be charged and the accessed electric vehicle again.
Further, in S1, the charging data includes a charging time, a leaving time, and a required charge amount.
Further, in S4, if not, the vehicle position of the license plate number collected last time is obtained, the travel time from the vehicle position to the position of the charging station is calculated, whether the current time and the travel time after superposition belong to the average arrival time period in the license plate number-associated charging file is determined, and if yes, the process jumps to S5.
The method also takes the driving time of the electric vehicle to the position of the charging station into consideration, and is more suitable for actual conditions compared with the judgment according to the average arrival time period strictly.
Further, in S6, acquiring the grid charging redundancy, and allocating charging time periods for the electric vehicle to be charged and the accessed electric vehicle according to the grid charging redundancy, the required charging amount of the accessed electric vehicle, and the average leaving time period and the average required charging amount of the electric vehicle to be charged.
The charging redundancy of the power grid is used as one of the reference factors for distributing the charging time interval, so that the charging redundancy of the power grid is fully utilized when the charging time interval is distributed subsequently, and the purposes of peak clipping and valley filling are achieved.
Further, in S6, time-of-use electricity price data of the power grid is further obtained, and charging time periods are allocated for the electric vehicle to be charged and the electric vehicle to be accessed according to the charging redundancy of the power grid, the time-of-use electricity price data, the required charging amount of the electric vehicle to be accessed, and the average leaving time period and the average required charging amount of the electric vehicle to be charged.
The time-of-use electricity price data of the power grid is used as one of the reference factors for distributing the charging time interval, so that the time interval with low electricity price is fully utilized when the charging time interval is distributed subsequently, and the charging cost is saved for users.
Further, in S6, it is determined whether there is an idle charging pile in the current charging station, and if there is no idle charging pile, a charging period is allocated only for the accessed electric vehicle.
Further, in S1, the charging data further includes a vehicle model.
Further, in S6, a vehicle model obtaining request is sent according to the license plate number of the electric vehicle to be charged, and the vehicle model of the electric vehicle to be charged is received.
Drawings
Fig. 1 is a flowchart of a new energy vehicle charging scheduling method according to an embodiment.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
As shown in fig. 1, the new energy vehicle charging scheduling method of the embodiment includes the following steps:
s1, when the electric automobile is connected into the charging pile to be charged, the charging station collects the license plate number and charging data, wherein the charging data comprises charging time, leaving time, required charging amount and vehicle model. And establishing a charging file for each electric automobile based on the charging data, wherein the charging file is associated with the license plate number, and the charging file comprises an average arrival time period, an average departure time period and an average required charging amount. In this embodiment, the license plate number can be shot and identified by a camera arranged at the charging station.
And S2, receiving license plate numbers of vehicles running in the preset area of the charging station, and screening the license plate numbers of the electric vehicles from the license plate numbers of the running vehicles. In this embodiment, the preset area is a range of one kilometer around the charging station as a center, and in other embodiments, the preset area may be set according to actual conditions. The license plate numbers of the running vehicles are collected by the cameras on all roads in the traffic management system, and in the embodiment, the license plate numbers of the running vehicles in the preset area of the charging station are received from the traffic management system.
S3, matching the screened license plate number of the electric automobile with the license plate number associated with the charging file; if the matching is successful, jumping to S4; if the match is unsuccessful, the operation ends.
S4, judging whether the current time belongs to the average arrival time period in the license plate number associated charging file, and if so, jumping to S5; if the current time and the running time are superposed, whether the current time and the running time belong to the average arrival time period in the license plate number related charging file or not is judged, if the current time and the running time belong to the average arrival time period, the operation jumps to S5, and if the current time and the running time do not belong to the average arrival time period, the operation is ended.
S5, marking the electric automobile corresponding to the license plate number as the electric automobile to be charged;
s6, acquiring the charging redundancy of the power grid and the time-of-use electricity price data of the power grid; judging whether an idle charging pile exists in the current charging station, and if not, distributing a charging time period for the accessed electric vehicle based on the charging redundancy amount of the power grid, the time-of-use electricity price data and the required charging amount of the accessed electric vehicle; and if the charging pile is idle, distributing charging time intervals for the electric vehicle to be charged and the accessed electric vehicle according to the charging redundancy of the power grid, the time-of-use electricity price data of the power grid, the required charging quantity of the accessed electric vehicle, the average leaving time period and the average required charging quantity of the electric vehicle to be charged. The specific charging period allocation is disclosed in chinese patent publication No. CN110271448B, etc., and is not described herein.
And S7, when the electric automobile to be charged does not access charging in the average arrival time period, canceling the mark of the electric automobile to be charged, and allocating charging time periods for the existing electric automobile to be charged and the accessed electric automobile again.
Example two
The difference between this embodiment and the first embodiment is that in this embodiment S6, if there are idle charging piles, it is first determined whether the number of the idle charging piles is less than the number of the marked electric vehicles to be charged, and if so, the number of the idle charging piles is less than the number of the electric vehicles to be charged; sending a vehicle model obtaining request according to the license plate number of the electric vehicle to be charged, and receiving the vehicle model of the electric vehicle to be charged; in the embodiment, after the vehicle model obtaining request is sent to the vehicle management system of the automobile manufacturer, the vehicle management system of the automobile manufacturer sends back the vehicle model corresponding to the license plate number.
And sending a battery attenuation data request according to the license plate number of the electric automobile to be charged and the license plate number of the electric automobile connected to the charging pile, and receiving the battery attenuation data. In this embodiment, after the battery attenuation data request is sent to the vehicle management system of the automobile manufacturer, the vehicle management system of the automobile manufacturer sends back the battery attenuation data of the electric automobile corresponding to the license plate number. The battery attenuation data can be recorded into a vehicle management system when the vehicle goes to a 4S store for detection, and can also be returned by a vehicle-mounted computer.
And judging whether the conditions of the same vehicle model exist between the electric vehicles to be charged and the electric vehicles connected into the charging pile, judging whether the difference value of the battery attenuation data is greater than a threshold value between the electric vehicles with the same vehicle model if the conditions of the same vehicle model exist, and marking the corresponding electric vehicle to be charged as the electric vehicle to be charged of the charging station if the difference value is greater than the threshold value. The threshold is 5-15%, in this example 10%. And then randomly selecting the electric vehicles to be charged with the corresponding quantity as the electric vehicles to be charged in the charging station based on the quantity of the residual idle charging piles. In this embodiment, surplus idle charge stake indicates, and the surplus electric pile that fills is occupied by this charging station waiting to charge electric automobile in the idle charge stake. Marking other electric vehicles to be charged as electric vehicles to be charged; in this embodiment, if the number of the to-be-charged electric vehicles whose difference values of the battery attenuation data are greater than the threshold value is greater than the number of the idle charging piles, the electric vehicles to be charged in the corresponding number are randomly selected and marked as the to-be-charged electric vehicles of the charging station, and the other electric vehicles to be charged are marked as the to-be-charged electric vehicles of the deployment charging station. And sending the busy information of the charging station based on the license plate number of the electric automobile to be charged. In this embodiment, the charge station busy information is sent to the management system of the automobile manufacturer, and then pushed to the corresponding electric automobile by the management system of the automobile manufacturer. The owner of being convenient for knows in advance, adjusts the charge plan in advance.
And distributing charging time periods for the electric vehicle to be charged and the accessed electric vehicle of the charging station according to the charging redundancy of the power grid, the time-of-use electricity price data of the power grid, the required charging amount of the accessed electric vehicle, and the average leaving time period and the average required charging amount of the electric vehicle to be charged of the charging station.
The battery of the electric automobile can be attenuated in the using process, and even if the electric automobile is the same in vehicle type, the battery attenuation speed can be different. Most of the reasons are due to the difference of the batteries, but the use habit of the vehicle owner also influences the decay speed of the batteries. In this implementation, preferentially be greater than the difference of battery decay data and wait to charge electric automobile mark and wait to charge electric automobile for this charging station with the corresponding electric automobile mark of threshold value, can conveniently gather these electric automobile to same charging station, because the time of charging station is greater than the time that the fuel car refueled, when the car owner that the vehicle model is the same met, they had time also to have the intention to share respective use habit. The car owner can share the correct use habit conveniently, and the car owner can help each other to reduce the battery attenuation speed caused by improper use habit.
The above are merely examples of the present invention, and the present invention is not limited to the field related to this embodiment, and the common general knowledge of the known specific structures and characteristics in the schemes is not described herein too much, and those skilled in the art can know all the common technical knowledge in the technical field before the application date or the priority date, can know all the prior art in this field, and have the ability to apply the conventional experimental means before this date, and those skilled in the art can combine their own ability to perfect and implement the scheme, and some typical known structures or known methods should not become barriers to the implementation of the present invention by those skilled in the art in light of the teaching provided in the present application. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.

Claims (9)

1. A new energy automobile charging scheduling method is characterized by comprising the following steps:
s1, when the electric vehicle is connected to a charging pile for charging, the charging station collects the license plate number and charging data, a charging file is established for each electric vehicle based on the charging data, the charging file is associated with the license plate number, and the charging file comprises an average arrival time period, an average departure time period and an average required charging amount;
s2, receiving license plate numbers of vehicles running in a preset area of the charging station, and screening out the license plate numbers of the electric vehicles from the license plate numbers of the running vehicles;
s3, matching the screened license plate number of the electric automobile with the license plate number associated with the charging file; if the matching is successful, jumping to S4;
s4, judging whether the current time belongs to the average arrival time period in the license plate number associated charging file, and if so, jumping to S5;
s5, marking the electric automobile corresponding to the license plate number as the electric automobile to be charged;
and S6, distributing the charging time period based on the electric automobile to be charged and the accessed electric automobile.
2. The new energy automobile charging scheduling method according to claim 1, wherein: and S7, when the electric vehicle to be charged does not access charging in the average arrival time period, canceling the mark of the electric vehicle to be charged, and allocating charging time periods for the existing electric vehicle to be charged and the accessed electric vehicle again.
3. The new energy automobile charging scheduling method according to claim 2, characterized in that: in S1, the charging data includes a charging time, a leaving time, and a required charge amount.
4. The new energy automobile charging scheduling method according to claim 3, wherein: and in the step S4, if the current time does not belong to the average arrival time period, acquiring the vehicle position of the license plate number acquired last time, calculating the running time from the vehicle position to the position of the charging station, judging whether the current time and the running time are superposed and then belong to the average arrival time period in the license plate number associated charging file, and if the current time and the running time belong to the average arrival time period, jumping to the step S5.
5. The new energy automobile charging scheduling method according to claim 4, wherein: in S6, obtaining the power grid charging redundancy, and allocating charging time periods for the electric vehicle to be charged and the accessed electric vehicle according to the power grid charging redundancy, the required charging amount of the accessed electric vehicle, and the average leaving time period and the average required charging amount of the electric vehicle to be charged.
6. The new energy automobile charging scheduling method according to claim 5, wherein: in S6, time-of-use electricity price data of the power grid is further obtained, and charging time periods are allocated for the electric vehicle to be charged and the electric vehicle to be accessed according to the power grid charging redundancy, the time-of-use electricity price data, the required charging amount of the electric vehicle to be accessed, and the average leaving time period and the average required charging amount of the electric vehicle to be charged.
7. The new energy automobile charging scheduling method according to claim 6, wherein: and in the step S6, whether an idle charging pile exists in the current charging station is also judged, and if no idle charging pile exists, the charging time interval is only distributed for the accessed electric automobile.
8. The new energy automobile charging scheduling method according to claim 7, wherein: in S1, the charging data further includes a vehicle model.
9. The new energy automobile charging scheduling method according to claim 8, wherein: in S6, a vehicle model obtaining request is sent according to the license plate number of the electric vehicle to be charged, and the vehicle model of the electric vehicle to be charged is received.
CN202110219110.7A 2021-02-26 2021-02-26 New energy automobile charging scheduling method Pending CN113033872A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113780866A (en) * 2021-09-18 2021-12-10 北京易控智驾科技有限公司 Automatic refueling scheduling method, device and equipment for unmanned mine car and storage medium

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CN105868942A (en) * 2016-06-07 2016-08-17 北京交通大学 Ordered charging scheduling method for electric vehicle
CN106274546A (en) * 2016-10-02 2017-01-04 陈时军 A kind of charging management method of parking facility Intelligent charging management system
CN106448137A (en) * 2016-11-04 2017-02-22 东南大学 Public transportation service system and method based on electric automobile
CN108146280A (en) * 2017-12-29 2018-06-12 王辰玮 A kind of electric automobile charging station
CN110271448A (en) * 2019-06-10 2019-09-24 南方科技大学 Charging scheduling method and system for charging station and charging station
CN112148034A (en) * 2020-10-30 2020-12-29 重庆电子工程职业学院 Hydrogen fuel cell oil field inspection unmanned aerial vehicle and inspection method

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Publication number Priority date Publication date Assignee Title
CN105868942A (en) * 2016-06-07 2016-08-17 北京交通大学 Ordered charging scheduling method for electric vehicle
CN106274546A (en) * 2016-10-02 2017-01-04 陈时军 A kind of charging management method of parking facility Intelligent charging management system
CN106448137A (en) * 2016-11-04 2017-02-22 东南大学 Public transportation service system and method based on electric automobile
CN108146280A (en) * 2017-12-29 2018-06-12 王辰玮 A kind of electric automobile charging station
CN110271448A (en) * 2019-06-10 2019-09-24 南方科技大学 Charging scheduling method and system for charging station and charging station
CN112148034A (en) * 2020-10-30 2020-12-29 重庆电子工程职业学院 Hydrogen fuel cell oil field inspection unmanned aerial vehicle and inspection method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113780866A (en) * 2021-09-18 2021-12-10 北京易控智驾科技有限公司 Automatic refueling scheduling method, device and equipment for unmanned mine car and storage medium

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Application publication date: 20210625