CN117371739A

CN117371739A - Vehicle charging management method and device, electronic equipment and storage medium

Info

Publication number: CN117371739A
Application number: CN202311410495.0A
Authority: CN
Inventors: 喻烁; 周扬
Original assignee: Chongqing Changan Automobile Co Ltd
Current assignee: Chongqing Changan Automobile Co Ltd
Priority date: 2023-10-27
Filing date: 2023-10-27
Publication date: 2024-01-09

Abstract

The invention provides a vehicle charging management method, a device, electronic equipment and a storage medium, wherein if vehicles to be charged exist, a recommended charging station of each vehicle to be charged is determined according to initial residual electric quantity and a transportation task, the number of vehicles of each recommended charging station is counted, if the number of vehicles is larger than a first preset number of vehicles, the recommended charging station is determined to be a target charging station, the charging sequence of the vehicles to be charged is determined based on battery data of the vehicles to be charged, the current transportation required electric quantity is determined based on the current position of the vehicles to be charged, the target charging station position and the transportation task, at least one vehicle to be charged is determined to be the current charging vehicle according to the charging sequence, the current charging vehicle is charged until the current residual electric quantity is larger than or equal to the current transportation required electric quantity, and the next charging vehicle is determined according to the charging sequence until all the vehicles to be charged are charged; the method can provide a more practical, more accurate and more convenient vehicle charging management method, and increase the satisfaction degree of users.

Description

Vehicle charging management method and device, electronic equipment and storage medium

Technical Field

The application relates to the technical field of vehicles, in particular to a vehicle charging management method, a vehicle charging management device, electronic equipment and a storage medium.

Background

With the development of new energy technology, more and more vehicles use storage batteries for power supply. The vehicle uses the battery power supply can reduce the pollution to the environment on the basis of guaranteeing power, but the charging station quantity is limited, and charging station quantity and charging efficiency are the important factors that influence the charging, also are the important factors that influence transport vehicle work efficiency. Therefore, how to reasonably charge a plurality of vehicles is a problem to be solved.

In the prior art, when intelligent charging control is performed on a plurality of vehicles, the charging sequence of the vehicles is controlled according to the time sequence of arriving at a charging station or the residual electric quantity of a vehicle storage battery, only time factors or electric quantity factors are considered, the charging sequence of the plurality of vehicles is not comprehensively considered according to other factors, the charging of the plurality of vehicles cannot be reasonably arranged due to single considered factors, the charging efficiency is influenced, and further the task execution efficiency is possibly influenced.

It should be noted that the foregoing merely provides background information related to the present invention and does not necessarily constitute prior art.

Disclosure of Invention

In view of the above-mentioned drawbacks of the prior art, the present invention provides a vehicle charging management method, apparatus, electronic device and storage medium, so as to solve at least one of the above-mentioned technical problems.

Other features and advantages of the invention will be apparent from the following detailed description, or may be learned by the practice of the invention.

The invention provides a vehicle charging management method, which comprises the following steps: acquiring the current position, battery data, initial residual capacity and transportation tasks of a plurality of transportation vehicles; if vehicles to be charged exist, determining a recommended charging station of each vehicle to be charged according to the initial residual capacity and the transportation task, wherein the vehicles to be charged are transportation vehicles with the initial residual capacity smaller than the initial transportation required capacity, and the initial transportation required capacity is determined based on the current position and the transportation task; counting the number of vehicles to be charged corresponding to each recommended charging station, and if the number of vehicles is larger than a first preset number of vehicles, determining the recommended charging station as a target charging station; determining a charging sequence of the vehicle to be charged based on battery data of the vehicle to be charged corresponding to the target charging station; determining the current transportation demand electric quantity based on the current position of the vehicle to be charged, the target charging station position and the transportation task, which correspond to the target charging station; and determining at least one vehicle to be charged as a current charging vehicle according to the charging sequence, and charging the current charging vehicle until the current residual electric quantity of the current charging vehicle is greater than or equal to the current transportation demand electric quantity of the current charging vehicle, and determining the next charging vehicle according to the charging sequence until all the vehicles to be charged corresponding to the target charging station are charged.

In an embodiment of the present invention, determining a recommended charging station for each vehicle to be charged according to an initial remaining power and a transportation task includes: acquiring a transportation route of each vehicle to be charged and a charging station position in the transportation route; calculating the predicted distance from the current position of each vehicle to be charged to each charging station position in the transportation route according to the current position of each vehicle to be charged, the transportation route and each charging station position in the transportation route; obtaining the furthest distance which can be reached by each vehicle to be charged according to the transportation route and the initial residual electric quantity; obtaining the furthest charging station which can be reached by each vehicle to be charged according to the predicted distance and the furthest distance; determining the furthest charging station as the recommended charging station.

In an embodiment of the present invention, after determining the recommended charging station as the target charging station, the method further includes: obtaining a forward moving charging station according to the transportation task of the vehicle to be charged and the target charging station, wherein the forward moving charging station is the previous charging station of the target charging station in the transportation task; counting the number of vehicles to be charged of the vehicles to be charged corresponding to the target charging station; if the number of vehicles to be charged is greater than or equal to a second preset number of vehicles, and the number of vehicles to be charged of the forward charging station is smaller than the second preset number of vehicles, determining the forward charging station as a new target charging station, wherein the second preset number of vehicles is greater than the first preset number of vehicles.

In an embodiment of the present invention, determining a charging sequence of the vehicle to be charged based on battery data of the vehicle to be charged corresponding to the target charging station includes: the battery data of the vehicle to be charged corresponding to the target charging station obtain the battery electric quantity, the battery performance and the battery age of the vehicle to be charged corresponding to the target charging station; calculating a charging priority coefficient according to the battery electric quantity, the battery performance, the battery age, a first preset weight, a second preset weight, a third preset weight and a preset environmental impact coefficient, wherein the sum of the first preset weight, the second preset weight and the third preset weight is a preset value; and determining the charging sequence of the vehicle to be charged based on the charging priority coefficient.

In an embodiment of the present invention, determining a current transportation demand electricity amount based on the current position of the vehicle to be charged, the target charging station position, and the transportation mission, which correspond to the target charging station, includes: acquiring environmental data of the vehicle to be charged corresponding to the target charging station; determining a predicted driving distance according to the current position of the vehicle to be charged corresponding to the target charging station and the position of the target charging station, wherein the predicted driving distance is the distance from the current position of each vehicle to be charged to the target charging station; matching a preset environmental influence coefficient based on the environmental data to obtain the preset environmental influence coefficient; and determining the current transportation required electric quantity according to the preset environmental influence coefficient, the predicted driving distance and the power consumption per unit distance under the simulation condition.

In an embodiment of the present invention, determining at least one vehicle to be charged as a current charging vehicle according to the charging sequence, and after charging the current charging vehicle, further includes: calculating an electric quantity comparison coefficient of each current charging vehicle according to a preset electric quantity error coefficient, the current residual electric quantity of each current charging vehicle and the current transportation demand electric quantity; if the electric quantity comparison coefficient is larger than or equal to a preset electric quantity comparison threshold value, controlling the current charging vehicle to finish charging; if the electric quantity comparison coefficient is smaller than the preset electric quantity comparison threshold value, controlling the current charging vehicle to continue charging; and determining the next charging vehicle according to the charging sequence until all the vehicles to be charged corresponding to the target charging station are charged.

In an embodiment of the present invention, determining at least one vehicle to be charged as a current charging vehicle according to the charging sequence, and after charging the current charging vehicle, further includes: acquiring current environment data of each current charging vehicle; obtaining target transportation demand electric quantity of each current charging vehicle according to the current residual electric quantity of each current charging vehicle and the battery capacity in the battery data; and if the current environmental data accords with the preset environmental conditions and the current residual electric quantity of the current charging vehicle is larger than or equal to the target transportation demand electric quantity, controlling the current charging vehicle to finish charging, and determining the next charging vehicle according to the charging sequence until all the vehicles to be charged corresponding to the target charging station are charged.

The present invention provides a vehicle charging management device, comprising: the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is configured to acquire the current position, battery data, initial residual capacity and transportation tasks of a plurality of transportation vehicles; the first processing module is configured to determine a recommended charging station of each vehicle to be charged according to the initial residual capacity and the transportation task if the vehicle to be charged exists, wherein the vehicle to be charged is a transportation vehicle with the initial residual capacity smaller than the initial transportation required capacity, and the initial transportation required capacity is determined based on the current position and the transportation task; the second processing module is configured to count the number of vehicles to be charged corresponding to each recommended charging station, and if the number of vehicles is larger than a first preset number of vehicles, the recommended charging station is determined to be a target charging station; the third processing module is configured to determine the charging sequence of the vehicle to be charged based on the battery data of the vehicle to be charged corresponding to the target charging station; the fourth processing module is configured to determine the current transportation demand electric quantity based on the current position of the vehicle to be charged, the target charging station position and the transportation task, which correspond to the target charging station; and the charging management module is configured to determine at least one vehicle to be charged as a current charging vehicle according to the charging sequence, charge the current charging vehicle until the current residual electric quantity of the current charging vehicle is greater than or equal to the current transportation demand electric quantity of the current charging vehicle, and determine the next charging vehicle according to the charging sequence until all the vehicles to be charged corresponding to the target charging station are charged.

The invention also provides an electronic device comprising: one or more processors; a storage means for storing one or more programs that, when executed by the one or more processors, cause the electronic device to implement the vehicle charge management method according to any one of the embodiments described above.

The present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor of a computer, causes the computer to perform the vehicle charge management method according to any one of the embodiments described above.

The invention has the beneficial effects that: the invention provides a vehicle charging management method, a device, electronic equipment and a storage medium, which are used for solving the problems that in the prior art, when intelligent charging control is carried out on a plurality of vehicles, considered factors are single, the charging sequence of the plurality of vehicles is not reasonably arranged by combining with a plurality of factors, the charging efficiency is influenced, and then the task execution efficiency is influenced; according to the method, the recommended charging stations of each vehicle to be charged are determined according to the initial residual electric quantity and the transportation task, the number of vehicles to be charged corresponding to each recommended charging station is counted, if the number of vehicles is larger than the first preset number of vehicles, the recommended charging stations are determined to be target charging stations, the charging sequence of the vehicles to be charged is determined based on the battery data of the vehicles to be charged corresponding to the target charging stations, at least one current charging vehicle is determined according to the charging sequence, meanwhile reasonable charging ending conditions are set, when the charging ending conditions are met, the current charging vehicle is controlled to finish charging, the next charging vehicle is determined according to the charging sequence until all the vehicles to be charged corresponding to the target charging stations are charged, charging stations are reasonably planned for a plurality of vehicles, the charging sequence can be reasonably arranged in combination with the transportation task, the charging efficiency of each transportation vehicle is improved, and the execution of the transportation task is guaranteed.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. It is apparent that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art. In the drawings:

FIG. 1 is a schematic illustration of an implementation environment of a vehicle charge management method according to an exemplary embodiment of the present application;

FIG. 2 is a flow chart diagram of a vehicle charge management method according to an exemplary embodiment of the present application;

FIG. 3 is a flow chart diagram of a vehicle charge management method shown in another exemplary embodiment of the present application;

FIG. 4 is a schematic diagram of a vehicle charge management system according to an exemplary embodiment of the present application;

FIG. 5 is a block diagram of a vehicle charge management device shown in an exemplary embodiment of the present application;

fig. 6 shows a schematic diagram of a computer system suitable for use in implementing the electronic device of the embodiments of the present application.

Detailed Description

Further advantages and effects of the present invention will become readily apparent to those skilled in the art from the disclosure herein, by referring to the accompanying drawings and the preferred embodiments. The invention may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present invention. It should be understood that the preferred embodiments are presented by way of illustration only and not by way of limitation.

It should be noted that the illustrations provided in the following embodiments merely illustrate the basic concept of the present invention by way of illustration, and only the components related to the present invention are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complicated.

In the following description, numerous details are set forth in order to provide a more thorough explanation of embodiments of the present invention, it will be apparent, however, to one skilled in the art that embodiments of the present invention may be practiced without these specific details, in other embodiments, well-known structures and devices are shown in block diagram form, rather than in detail, in order to avoid obscuring the embodiments of the present invention.

It should be noted that a storage battery is an electrochemical device that stores chemical energy and emits electric energy when necessary. The device that converts chemical energy into electrical energy is called a chemical battery, commonly referred to simply as a battery. After discharging, the internal active material can be regenerated by charging, i.e. the electrical energy is stored as chemical energy; when discharge is required, chemical energy is converted into electric energy again. Such batteries are referred to as storage batteries, also known as secondary batteries or lead acid storage tanks.

SOC (State of charge) refers to the ratio of the remaining capacity of a battery under a certain discharge rate to the rated capacity under the same condition.

SOH (State of health) refers to the State of health or State of life of a battery or other rechargeable device.

Fig. 1 is a schematic view of an implementation environment of a vehicle charge management method according to an exemplary embodiment of the present application.

Referring to fig. 1, a system architecture may include a data acquisition device 101 and a computer device 102. Wherein the computer device 102 may be at least one of a desktop graphics processor (Graphic Processing Unit, GPU) computer, a GPU computing cluster, a neural network computer, or the like. The related technician can acquire the current position, the battery data, the initial remaining power and the transportation tasks of the transportation vehicles using the data acquisition device 101, and the transportation vehicles are a plurality of; after the computer device 102 determines that the vehicle to be charged exists, determining a recommended charging station of each vehicle to be charged according to the initial residual electric quantity and the transportation task; counting the number of vehicles to be charged corresponding to each recommended charging station, and if the number of vehicles is greater than the first preset number of vehicles, determining the recommended charging station as a target charging station; determining a charging sequence of the vehicle to be charged based on battery data of the vehicle to be charged corresponding to the target charging station; determining the current transportation demand electric quantity based on the current position of the vehicle to be charged, the target charging station position and the transportation task, which correspond to the target charging station; and determining at least one vehicle to be charged as a current charging vehicle according to the charging sequence, charging the current charging vehicle until the current residual capacity of the current charging vehicle is greater than or equal to the current transportation demand capacity of the current charging vehicle, and determining the next charging vehicle according to the charging sequence until all the vehicles to be charged corresponding to the target charging station are charged, so as to charge the vehicles to be charged.

Therefore, the technical scheme of the embodiment of the application can reasonably arrange the charging sequence according to the charging priority coefficient corresponding to each transport vehicle in the target charging station, and meanwhile, reasonable charging end conditions are set.

It should be noted that, the vehicle charging management method provided in the embodiment of the present application is generally executed by the computer device 102, and accordingly, the vehicle charging management apparatus is generally disposed in the computer device 102.

Fig. 2 is a flow chart illustrating a vehicle charge management method according to an exemplary embodiment of the present application. The method may be applied to the implementation environment shown in fig. 1 and executed in particular by the computer device 102 in the implementation environment. It should be understood that the method may be adapted to other exemplary implementation environments and be specifically executed by devices in other implementation environments, and the implementation environments to which the method is adapted are not limited by the present embodiment.

As shown in fig. 2, in an exemplary embodiment, the vehicle charging management method at least includes steps S210 to S260, and is described in detail as follows:

In step S210, the current position of the transport vehicle, battery data, initial remaining power, and a transport task are acquired.

In one embodiment of the present application, the transport vehicle is a plurality of vehicles. The method comprises the steps of obtaining current positions, battery data, initial residual capacity and transportation tasks of a plurality of transportation vehicles. Battery data includes, but is not limited to, battery charge, battery performance, and battery age. The initial remaining capacity is the current remaining capacity when the remaining capacity of the transport vehicle is acquired at the beginning, namely, the remaining capacity of each vehicle to be charged when a recommended charging station is determined. Transportation tasks include, but are not limited to, transportation routes, starting locations, starting times, predicted arrival times, weight of transported products, transportation distance or distance of transportation, transportation vehicle properties, i.e., transportation vehicle type, road conditions, location of charging stations on transportation routes, distance between charging stations, and the like.

In this embodiment, the edge control module collects vehicle data and transportation tasks of the transportation vehicle through several types of data sensors, the vehicle data including, but not limited to, the current location of the transportation vehicle, location data, power data, i.e., battery data, initial remaining power. The location data includes, but is not limited to, a current location, and the power data includes, but is not limited to, an initial remaining power and a current remaining power.

In step S220, if there is a vehicle to be charged, a recommended charging station for each vehicle to be charged is determined according to the initial remaining power and the transportation task.

The vehicle to be charged is a transport vehicle with initial residual electric quantity smaller than initial transport required electric quantity, and the initial transport required electric quantity is determined based on the current position and the transport task.

In one embodiment of the present application, an initial transportation demand power is obtained according to a current position of each vehicle to be charged and a transportation route in a transportation task and a destination position in the transportation task, the initial transportation demand power is a power required for each vehicle to be charged to reach a destination from the current position, an initial remaining power is compared with the initial transportation demand power, a transportation vehicle of the transportation vehicle with the initial remaining power smaller than the initial transportation demand power is determined as the vehicle to be charged, and a recommended charging station of each vehicle to be charged is determined according to the initial remaining power and the transportation task of each vehicle to be charged.

In one embodiment of the application, calculating total required electric quantity according to a current position and a transportation task, and judging the size relation between the initial residual electric quantity and the initial transportation required electric quantity, wherein the initial transportation required electric quantity is the electric quantity required by each vehicle to be charged to reach a destination from the current position; if the initial residual electric quantity is larger than or equal to the initial transportation demand electric quantity, the result state is successful, and each vehicle to be charged is controlled to continue to run; if the initial residual electric quantity is smaller than the initial transportation demand electric quantity, the result state is failure, and a charging route of each vehicle to be charged is planned according to the vehicle data and the transportation task of each vehicle to be charged, wherein the charging route is the charging route of the farthest charging station which can be reached by the initial residual electric quantity of each vehicle to be charged. By reasonably planning the charging route, the transport vehicle is controlled to travel according to the charging route, and the travel time and the travel distance can be shortened on the basis of saving energy and reducing energy consumption.

In the embodiment, the edge control module is used for collecting and sending electric quantity data, namely battery data and position data, to the central processing module at regular time; the central processing module determines whether the residual capacity of the transport vehicle, namely the initial residual capacity, can directly reach a destination according to the received position data and the transport task; if the destination can be directly reached, controlling the transport vehicle to continue to run; if the destination cannot be directly reached, analyzing the electric quantity data; analyzing the electrical quantity data includes: and extracting the residual electric quantity, namely the initial residual electric quantity, from the electric quantity data, calculating a furthest charging station which can be reached by the residual electric quantity, planning a running route between the transport vehicle and the furthest charging station, and marking the running route as a charging route. The method comprises the steps of calculating the furthest charging station capable of reaching the residual electric quantity, calculating the driving mileage of each vehicle to be charged according to the initial residual electric quantity of each vehicle to be charged, comparing the driving mileage with the distance of the charging station, obtaining the furthest charging station capable of reaching the initial residual electric quantity, and determining the furthest charging station as a recommended charging station.

In the present embodiment, when planning a charging route, analysis in two aspects is mainly performed: firstly, judging whether the initial residual capacity of the transport vehicle can directly reach a destination, and secondly, judging the furthest charging station which can reach the initial residual capacity. When the initial residual electric quantity can reach the destination, the transport vehicle does not need to supplement electricity and directly runs to the destination in order to improve the transport efficiency. When the initial remaining amount of electricity is insufficient to reach the destination, charging at a charging station is required. In order to improve the transportation efficiency, the charging times can be reduced as much as possible on the basis of meeting the demand, namely, the furthest charging station which can be reached by the initial residual electric quantity is determined, the selected charging station is positioned on the front route of the transportation task, and the determined furthest charging station can be used as the electricity supplementing place of the transportation vehicle. It is noted that before the charging route is planned for each transport vehicle, a plurality of vehicles are split, for example, a fleet of vehicles are split, a part of vehicles directly reach a destination, and the other part of vehicles are supplemented. The plurality of transport vehicles for recharging may be further split, for example, when the plurality of transport vehicles are concentrated at one of the plurality of charging stations, the recharging field of transport vehicles with a higher priority charging coefficient may be moved forward, i.e. the charging stations in the corresponding charging route of the transport vehicles are not the farthest charging stations, i.e. the charging route is shorter than before the forward movement. The electric compensation field of the transport vehicle with the higher priority charging coefficient is moved forward, preferably one charging station is moved forward, if the vehicle to be charged is still redundant to the preset charging vehicle after one charging station is moved forward, the forward movement is continued until the moved charging station can charge the vehicle to be charged.

In one embodiment of the application, a transportation route and a charging station position in the transportation route of each vehicle to be charged are obtained; calculating the predicted distance from the current position of each vehicle to be charged to each charging station position in the transportation route according to the current position of each vehicle to be charged, the transportation route and each charging station position in the transportation route; obtaining the furthest distance which can be reached by each vehicle to be charged according to the transportation route and the initial residual electric quantity; obtaining the furthest charging station which can be reached by each vehicle to be charged according to the predicted distance and the furthest distance; the furthest charging station is determined to be the recommended charging station.

In this embodiment, a transport route of each vehicle to be charged and a charging station position in the transport route are obtained according to a transport task of each vehicle to be charged, a predicted distance from the current position of each vehicle to be charged to each charging station position in the transport route is calculated according to the current position of each vehicle to be charged, the furthest distance that can be reached by each vehicle to be charged is obtained according to an initial residual electric quantity and the transport task, the predicted distances are ranked from large to small, the predicted distance smaller than the furthest distance is determined as a recommended predicted distance, the charging station corresponding to the recommended predicted distance ranked first in the recommended predicted distances is determined as the furthest charging station, and the furthest charging station is determined as the recommended charging station.

In step S230, the number of vehicles to be charged corresponding to each recommended charging station is counted, and if the number of vehicles is greater than the first preset number of vehicles, the recommended charging station is determined as the target charging station.

In one embodiment of the present application, a maximum number of vehicles that can be charged at the same time in each recommended charging station is obtained, and the number of vehicles to be charged corresponding to each recommended charging station is counted. It should be noted that this embodiment is only illustrative, and not limiting.

In one embodiment of the application, a forward charging station is obtained according to a transportation mission of a vehicle to be charged and a target charging station, wherein the forward charging station is a previous charging station of the target charging station in the transportation mission; counting the number of vehicles to be charged of the vehicles to be charged corresponding to the target charging station; if the number of vehicles to be charged is greater than or equal to the second preset number of vehicles and the number of vehicles to be charged of the forward charging station is smaller than the second preset number of vehicles, determining the forward charging station as a new target charging station, wherein the second preset number of vehicles is greater than the first preset number of vehicles.

In this embodiment, if the number of vehicles to be charged of the vehicles to be charged corresponding to the target charging station is greater than or equal to the second preset number of vehicles, and the number of vehicles to be charged of the forward charging station is greater than or equal to the second preset number of vehicles, the previous charging station of the forward charging station is determined to be the target charging station, that is, the first two charging stations of the target charging station in the transportation task are determined to be new target charging stations, and the second preset number of vehicles is greater than the first preset number of vehicles.

In this embodiment, a forward charging station is obtained according to a transportation mission of a vehicle to be charged and a target charging station, where the forward charging station is a charging station preceding the target charging station in the transportation mission; counting the number of vehicles to be charged of the vehicles to be charged corresponding to the target charging station; if the number of vehicles to be charged is greater than or equal to the second preset number of vehicles and the number of vehicles to be charged of the forward charging station is smaller than the second preset number of vehicles, determining the target charging station with the charging priority coefficient greater than the preset charging priority coefficient as the forward charging station, namely determining the charging place of the vehicles to be charged with the charging priority coefficient greater than the preset charging priority coefficient as the forward charging station, namely determining the forward charging station as the target charging station with the charging priority coefficient greater than the preset charging priority coefficient, wherein the second preset number of vehicles is greater than the first preset number of vehicles.

In step S240, a charging order of the vehicle to be charged is determined based on the battery data of the vehicle to be charged corresponding to the target charging station.

In one embodiment of the present application, the charging sequence of the vehicle to be charged is determined according to battery data of the vehicle to be charged corresponding to the target charging station, wherein the battery data includes, but is not limited to, battery age, battery power and battery performance. It can be appreciated that when several transport vehicles are concentrated at the same charging station, the number of charging piles is difficult to meet the requirement, and thus reasonable distribution is required according to the specific situation of the transport vehicles. The longer the battery life, the smaller the battery power and the battery performance, the more should the vehicle to be charged with priority, so the calculation formula of the charging priority coefficient is fitted according to the history experience, and it can be known that the transportation vehicle with the larger charging priority coefficient should be charged with priority. The charging sequence is reasonably arranged, so that the charging efficiency can be improved, and the execution efficiency of the whole transportation task can be improved.

In one embodiment of the present application, battery data of a vehicle to be charged corresponding to a target charging station is obtained, and battery power, battery performance and battery age of the vehicle to be charged corresponding to the target charging station are obtained; calculating a charging priority coefficient according to the battery electric quantity, the battery performance, the battery age, the first preset weight, the second preset weight, the third preset weight and the preset environmental impact coefficient, wherein the sum of the first preset weight, the second preset weight and the third preset weight is a preset value; a charging order of the vehicle to be charged is determined based on the charging priority coefficient.

In this embodiment, the charging priority coefficient may be calculated by a calculation formula of the charging priority coefficient, where the expression of the calculation formula of the charging priority coefficient is:

cyx=α× (qz1×dn+qz2/soc+qz3/SOH) formula (1)

Wherein CYX is a charging priority coefficient, DN is a battery age, SOC is a battery power, SOH is a battery performance, QZ1, QZ2 and QZ3 are a first preset weight, a second preset weight and a third preset weight respectively, QZ1, QZ2 and QZ3 are preset weights of DN, SOC and SOH respectively, qz1+qz2+qz3=1, α is a preset environmental impact coefficient, and is set according to the impact of the transportation environment on the battery performance. It should be noted that this embodiment is only illustrative, and not limiting in any way.

In this embodiment, the central processing module controls the transport vehicle to charge according to the charging priority coefficient, including: sequencing the charging priority coefficients, and sequentially controlling the charging of the transport vehicles from high to low; in the charging process of the transport vehicle, the edge control module compares the residual electric quantity with the standard electric quantity in real time, and when the comparison result meets the requirement, the charging of the transport vehicle is finished. According to the charging priority coefficient, the charging is reasonably arranged, more charging time can be given to the transport vehicles with less residual electric quantity and poor battery performance, less charging time is given to the transport vehicles with more residual electric quantity and better battery performance, and the charging time of each transport vehicle is reasonably arranged. Overall, the time for charging all the transport vehicles can be shortened as much as possible, and the transport efficiency is improved.

In step S250, a current transportation demand charge is determined based on the current location of the vehicle to be charged, which corresponds to the target charging station, the target charging station location, and the transportation mission.

In one embodiment of the application, environmental data of a vehicle to be charged corresponding to a target charging station is obtained; determining a predicted driving distance according to the current position of the vehicle to be charged corresponding to the target charging station and the position of the target charging station, wherein the predicted driving distance is the distance from the current position of each vehicle to be charged to the target charging station; matching a preset environmental impact coefficient based on the environmental data to obtain the preset environmental impact coefficient; and determining the current transportation demand electric quantity according to the preset environmental influence coefficient, the predicted driving distance and the electric quantity of the unit distance under the simulation condition.

In this embodiment, the central processing module determines, according to the distance between the transportation task and the target charging station, a standard electric quantity, that is, a current transportation demand electric quantity, according to a standard electric quantity calculation formula, where an expression of the standard electric quantity calculation formula is:

bd=α×mj×dh (2)

BD is standard electricity quantity, namely current transportation demand electricity quantity, DH is electricity consumption per unit distance under simulation conditions, MJ is target distance, namely predicted driving distance, alpha is a preset environmental influence coefficient, and the current electricity consumption per unit distance is set according to the influence of transportation environment on battery performance.

The standard electricity amount is the amount of electricity required for the transport vehicle to reach the next place, i.e., to reach the destination or destination charging station. The target distance refers to the distance between the current charging station and the destination or the target charging station; if the next place is a destination, determining the distance between the current position and the destination according to the transportation task; if the next location is another charging station, the distance between the charging station and the current location can also be calculated. And alpha is a proportionality coefficient not smaller than 1, and is set according to the influence of the transportation environment on the battery performance, and the larger the influence of the transportation environment on the battery performance is, the larger the alpha is. For example, α=1.5, the target distance is 100, the power consumption per unit distance is 1, and the standard power is 150, that is, in the current transportation environment, 150 power is required to ensure that the transportation distance of 100 is completed. It should be noted that this embodiment is only illustrative, and not limiting.

In step S260, at least one vehicle to be charged is determined as a current charging vehicle according to the charging sequence, the current charging vehicle is charged until the current remaining capacity of the current charging vehicle is greater than or equal to the current transportation demand capacity of the current charging vehicle, and the next charging vehicle is determined according to the charging sequence until all the vehicles to be charged corresponding to the target charging station are charged.

In one embodiment of the application, the number N of current idle charging piles in the target charging station is obtained, wherein the number of current idle charging piles is the number of charging piles which do not correspond to the current charging vehicle currently; if the charging sequence is obtained from large to small according to the charging priority coefficient, determining N vehicles to be charged before sorting as current charging vehicles according to the charging sequence, wherein N is the number of current idle charging piles; and charging the current charging vehicle until the current residual electric quantity of at least one current charging vehicle is greater than or equal to the current transportation demand electric quantity of the current charging vehicle, determining the vehicles to be charged after the serial number N in the charging sequence as the next charging vehicle according to the charging sequence, charging the next charging vehicle until the current residual electric quantity of the current charging vehicle is greater than or equal to the current transportation demand electric quantity of the current charging vehicle, and the like until all the vehicles to be charged corresponding to the target charging station are charged.

In the embodiment, the number N of current idle charging piles in the target charging station is obtained, wherein the number of the current idle charging piles is the number of charging piles which do not correspond to the current charging vehicle currently; if the charging sequence and the charging sequence of the vehicles to be charged are obtained from large to small according to the charging priority coefficient, determining the first N vehicles to be charged in the charging sequence as current charging vehicles, wherein N is the number of current idle charging piles; charging the current charging vehicle until the current residual electric quantity of the current charging vehicle is greater than or equal to the current transportation demand electric quantity of the current charging vehicle, acquiring the number M of current idle charging piles in the target charging station again, sequencing the vehicles to be charged according to the charging priority coefficient from large to small to obtain a new charging sequence and a new charging sequence, and determining the first M vehicles to be charged in the new charging sequence as the next charging vehicle, wherein the next charging vehicle can be one vehicle to be charged or a plurality of vehicles to be charged, M can be the same as N or different from N, and because the battery data of the vehicles to be charged are different in large probability, M is generally 1; and charging the next charging vehicle until the current residual electric quantity of the current charging vehicle is greater than or equal to the current transportation demand electric quantity of the current charging vehicle, and the like until all the vehicles to be charged corresponding to the target charging station are charged. It should be noted that, the values of M and N are determined according to practical situations, and this embodiment is merely illustrative, and should not bring any limitation to the functions and application ranges of the embodiments of the present invention.

In one embodiment of the present application, the electric quantity comparison coefficient of each current charging vehicle is calculated according to the preset electric quantity error coefficient, the current residual electric quantity of each current charging vehicle and the current transportation demand electric quantity; if the electric quantity comparison coefficient is larger than or equal to a preset electric quantity comparison threshold value, controlling the current charging vehicle to finish charging; if the electric quantity comparison coefficient is smaller than the preset electric quantity comparison threshold value, controlling the current charging vehicle to continue charging; and determining the next charging vehicle according to the charging sequence until all the vehicles to be charged corresponding to the target charging station are charged.

In this embodiment, the electric quantity contrast coefficient is calculated by an electric quantity contrast coefficient calculation formula, and the electric quantity contrast coefficient calculation formula has the following expression:

ddx=β×sd-BD (3)

Wherein DDX is the electric quantity contrast coefficient, SD is the remaining capacity, namely the current remaining capacity, BD is the standard electric quantity, namely the current transportation demand electric quantity, beta is the preset electric quantity error coefficient, and the error between the actual electric quantity and the detected electric quantity is set.

The beta is a proportional coefficient larger than 0, the beta is set according to the error between the actual electric quantity and the detected electric quantity, and the default value of the beta is 1; DDY is a power comparison threshold, which is a constant empirically set to be greater than 0. And when the residual electric quantity is absolutely larger than the standard electric quantity, judging that the residual electric quantity of the transport vehicle meets the requirement, and yielding a charging pile to arrange the next transport vehicle for charging.

It should be noted that, part of data in the above formula is calculated by removing dimension and taking the value, and the formula is a formula which is obtained by simulating a large amount of collected data through software and is closest to the real situation; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or are obtained through mass data simulation.

In one embodiment of the present application, current environmental data for each current charging vehicle is obtained; obtaining the target transportation demand electric quantity of each current charging vehicle according to the current residual electric quantity of each current charging vehicle and the battery capacity in the battery data; if the current environmental data accords with the preset environmental conditions and the current residual electric quantity of the current charging vehicle is larger than or equal to the target transportation demand electric quantity, the current charging vehicle is controlled to finish charging, the next charging vehicle is determined according to the charging sequence, and charging is completed until all the vehicles to be charged corresponding to the target charging station.

In this embodiment, if the weather is cold or bad, if the ambient temperature is lower than the preset ambient temperature and the visibility is lower than the preset visibility, the current charging vehicle is controlled to finish charging when the current remaining capacity of the current charging vehicle is greater than or equal to the target transportation demand capacity, the next charging vehicle is determined according to the charging sequence, and when the current remaining capacity of the next charging vehicle is greater than or equal to the target transportation demand capacity, the next charging vehicle is controlled to finish charging until all the vehicles to be charged corresponding to the target charging station finish charging. It should be noted that this embodiment is only illustrative, and not limiting.

Fig. 3 is a flow chart illustrating a vehicle charge management method according to another exemplary embodiment of the present application.

As shown in fig. 3, in an exemplary embodiment, the edge control module collects vehicle data of the transport vehicle via several types of data sensors and sends the vehicle data to the hub processing module; the central processing module plans a charging route in combination with a plurality of vehicle data and transportation tasks. The edge control module controls the transport vehicle to arrive at the charging station according to the charging route; the central processing module determines standard electric quantity according to at least one of the transportation task and the distance of the target charging station, calculates charging priority coefficients according to electric quantity data of all transportation vehicles, and controls the transportation vehicles to charge according to the charging priority coefficients. The edge control module detects the residual electric quantity of the corresponding transport vehicle in real time and compares the residual electric quantity with the standard electric quantity; and when the residual electric quantity meets the requirement, yielding the charging pile. The specific manner has been described in detail in the above embodiments, and will not be described here again.

According to the invention, the charging route is reasonably planned for the battery data and the position data in the vehicle data, and the transportation vehicle is controlled to run according to the charging route; the charging sequence is reasonably arranged in the charging station according to the charging priority coefficient corresponding to each transport vehicle, and meanwhile, reasonable charging ending conditions are set. According to the invention, the charging stations can be reasonably planned for the fleet vehicles, and when the number of the charging stations is insufficient, the charging sequence can be reasonably arranged in combination with the transportation tasks, so that the charging efficiency of each transportation vehicle is improved, and the execution of the transportation tasks is ensured.

Fig. 4 is a schematic structural view of a vehicle charge management system shown in an exemplary embodiment of the present application.

As shown in FIG. 4, in an exemplary embodiment, a vehicle charge management system includes a hub processing module and a number of edge control modules coupled to the hub processing module. The edge control module is built in the transport vehicle and is connected with various types of data sensors in the transport vehicle. The edge control module collects vehicle data and transportation tasks of the transportation vehicle through a plurality of types of data sensors, wherein the vehicle data comprise, but are not limited to, the current position of the transportation vehicle, battery data and initial residual electric quantity, and sends the vehicle data to the central processing module; the central processing module plans a charging route in combination with a plurality of vehicle data and transportation tasks. The edge control module controls the transport vehicle to reach a target charging station according to the charging route; the central processing module determines standard electric quantity, namely current transportation demand electric quantity, according to at least one of the transportation task and the distance of the target charging station, calculates a charging priority coefficient according to electric quantity data of each transportation vehicle, namely battery data, and controls the transportation vehicle to charge according to the charging priority coefficient. The edge control module detects the residual quantity of the corresponding transport vehicle in real time, namely the current residual quantity, and compares the residual quantity with the standard quantity; and when the residual electric quantity meets the requirement, namely when the residual electric quantity is greater than or equal to the standard electric quantity, controlling the current charging vehicle to finish charging, and enabling the charging pile to charge the next charging vehicle determined according to the charging sequence until all the vehicles to be charged corresponding to the target charging station are charged.

In this embodiment, the central processing module is respectively in communication and/or electrical connection with the intelligent terminal and the plurality of edge control modules; the intelligent terminal comprises, but is not limited to, a mobile phone and a computer; the edge control module is in communication and/or electrical connection with various types of data sensors and simultaneously controls corresponding transport vehicles; among them, data sensors include, but are not limited to, position sensors, battery sensors, and environmental sensors.

In this embodiment, the central processing module is equivalent to a cloud server, and is responsible for globally monitoring each transport vehicle in the fleet, planning a charging route according to vehicle data of each transport vehicle, and reasonably arranging a charging sequence. The edge control module is arranged in the transport vehicle and performs data interaction with the central processing module, and is mainly responsible for collecting vehicle data and performing necessary vehicle control. The intelligent terminal mainly displays a charging route or a charging arrangement to a driver, and comprises a mobile phone or a computer and the like. The edge control module is connected to various types of data sensors inside the transport vehicle, including a position sensor, a battery sensor, and an environmental sensor. The position sensor is used for collecting the real-time position of the transport vehicle, the battery sensor is used for collecting various parameters of the battery, and the environment sensor is used for collecting the transport environment; the transportation environment is mainly used for obtaining accurate proportionality coefficients.

In this embodiment, the central processing module analyzes a plurality of electric quantity data based on the transportation task and plans a charging route, including: the edge control module is used for collecting and sending electric quantity data and position data at fixed time; determining whether the residual electric quantity of the transport vehicle can directly reach a destination according to the received position data and the set transport task; if the destination can be directly reached, controlling the transport vehicle to continue to run; if the destination cannot be directly reached, calculating a furthest charging station which can be reached by the residual electric quantity according to the residual electric quantity, the current position and the transportation task, determining the furthest charging station as a target charging station, planning a running route between the transportation vehicle and the charging station, and marking the running route as a charging route.

In this embodiment, the hub processing module determines the standard electricity quantity according to at least one of the transportation mission and the distance of the target charging station, including: determining a target distance according to the transportation task or the target charging station; the target distance refers to the distance between the current charging station and the destination or the target charging station; calculating standard electric quantity, namely current transportation demand electric quantity, according to a preset environmental influence coefficient, a predicted driving distance and the power consumption of a unit distance under a simulation condition; the preset environmental influence coefficient is a proportionality coefficient not smaller than 1, and is set according to the influence of the transportation environment on the battery performance.

In this embodiment, the hub processing module calculates a charging priority coefficient according to the electric quantity data of each transport vehicle, including: extracting battery electric quantity, battery performance and battery life of the battery, and respectively marking weights of the battery electric quantity, the battery performance and the battery life as a first preset weight, a second preset weight and a third preset weight; calculating a charging priority coefficient according to the battery electric quantity, the battery performance, the battery age, the first preset weight, the second preset weight, the third preset weight and the preset environmental impact coefficient; the preset environmental influence coefficient is set according to the influence of the transportation environment on the battery performance, and the sum of the first preset weight, the second preset weight and the third preset weight is 1.

In this embodiment, the central processing module controls the transport vehicle to charge according to the charging priority coefficient, including: sequencing the charging priority coefficients, and sequentially controlling the charging of the transport vehicles from high to low; in the charging process of the transport vehicle, the edge control module compares the residual electric quantity with the standard electric quantity in real time, and when the comparison result meets the requirement, the charging of the transport vehicle is finished.

In this embodiment, the edge control module compares the remaining power with the standard power in real time, including: calculating an electric quantity comparison coefficient through the residual electric quantity, the standard electric quantity and a preset electric quantity error coefficient; the preset electric quantity error coefficient is a proportional coefficient larger than 0, and is set according to the error between the actual electric quantity and the detected electric quantity; if the electric quantity comparison coefficient is larger than or equal to a preset electric quantity comparison threshold value, judging that the comparison result meets the requirement, and controlling the transport vehicle to finish charging; if the electric quantity comparison coefficient is smaller than the preset electric quantity comparison threshold value, judging that the comparison result does not meet the requirement, and controlling the transport vehicle to continue charging; the preset electric quantity comparison threshold value is a constant which is set to be larger than 0 according to experience.

Fig. 5 is a block diagram of a vehicle charge management device according to an exemplary embodiment of the present application. The device may be applied to the implementation environment shown in fig. 1. The apparatus may also be adapted to other exemplary implementation environments and may be specifically configured in other devices, and the present embodiment is not limited to the implementation environments to which the apparatus is adapted.

As shown in fig. 5, the exemplary vehicle charge management device includes: an obtaining module 510 configured to obtain a current position of a transport vehicle, battery data, an initial remaining capacity, and a transport task, the transport vehicle being plural; the first processing module 520 is configured to determine, if there is a vehicle to be charged, a recommended charging station for each vehicle to be charged according to an initial remaining capacity and a transportation task, where the vehicle to be charged is a transportation vehicle with the initial remaining capacity smaller than an initial transportation required capacity, and the initial transportation required capacity is determined based on the current location and the transportation task; the second processing module 530 is configured to count the number of vehicles to be charged corresponding to each recommended charging station, and determine the recommended charging station as the target charging station if the number of vehicles is greater than the first preset number of vehicles; a third processing module 540 configured to determine a charging order of the vehicle to be charged based on battery data of the vehicle to be charged corresponding to the target charging station; a fourth processing module 550 configured to determine a current transportation demand charge based on a current location of the vehicle to be charged corresponding to the target charging station, the target charging station location, and the transportation mission; the charging management module 560 is configured to determine at least one vehicle to be charged as a current charging vehicle according to a charging sequence, charge the current charging vehicle until a current remaining capacity of the current charging vehicle is greater than or equal to a current transportation demand capacity of the current charging vehicle, and determine a next charging vehicle according to the charging sequence until all vehicles to be charged corresponding to the target charging station are charged.

It should be noted that, the vehicle charging management device provided in the foregoing embodiment and the vehicle charging management method provided in the foregoing embodiment belong to the same concept, and a specific manner in which each module and unit perform an operation has been described in detail in the method embodiment, which is not repeated herein. In practical application, the vehicle charging management device provided in the above embodiment may distribute the functions to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above, which is not limited herein.

The embodiment of the application also provides electronic equipment, which comprises: one or more processors; and a storage means for storing one or more programs that, when executed by the one or more processors, cause the electronic device to implement the vehicle charging management method provided in the respective embodiments described above.

Fig. 6 shows a schematic diagram of a computer system suitable for use in implementing the electronic device of the embodiments of the present application. It should be noted that, the computer system 600 of the electronic device shown in fig. 6 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present application.

As shown in fig. 6, the computer system 600 includes a central processing unit (Central Processing Unit, CPU) 601, which can perform various appropriate actions and processes according to a program stored in a Read-only memory (ROM) 602 or a program loaded from a storage section 608 into a random access memory (Random Access Memory, RAM) 603, for example, performing the method described in the above embodiment. In the RAM 603, various programs and data required for system operation are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other through a bus 604. An Input/Output (I/O) interface 605 is also connected to bus 604.

The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, mouse, etc.; an output portion 607 including a Cathode Ray Tube (CRT), a liquid crystal display (Liquid Crystal Display, LCD), and a speaker, etc.; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN (Local AreaNetwork ) card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The drive 610 is also connected to the I/O interface 605 as needed. Removable media 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed as needed on drive 610 so that a computer program read therefrom is installed as needed into storage section 608.

In particular, according to embodiments of the present application, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method shown in the flowchart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication portion 609, and/or installed from the removable medium 611. When executed by a Central Processing Unit (CPU) 601, performs the various functions defined in the system of the present application.

It should be noted that, the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium may be, for example, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-Only Memory (ROM), an erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), flash Memory, an optical fiber, a portable compact disc read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with a computer-readable computer program embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. A computer program embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Where each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units involved in the embodiments of the present application may be implemented by means of software, or may be implemented by means of hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.

Another aspect of the present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor of a computer, causes the computer to perform the vehicle charge management method as described above. The computer-readable storage medium may be included in the electronic device described in the above embodiment or may exist alone without being incorporated in the electronic device.

Another aspect of the present application also provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions so that the computer device performs the vehicle charge management method provided in the above-described respective embodiments.

The above embodiments are merely illustrative of the principles of the present invention and its effectiveness, and are not intended to limit the invention. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the invention. It is therefore intended that all equivalent modifications and changes made by those skilled in the art without departing from the spirit and technical spirit of the present invention shall be covered by the appended claims.

Claims

1. A vehicle charge management method, characterized by comprising:

acquiring the current position, battery data, initial residual capacity and transportation tasks of a plurality of transportation vehicles;

if vehicles to be charged exist, determining a recommended charging station of each vehicle to be charged according to the initial residual capacity and the transportation task, wherein the vehicles to be charged are transportation vehicles with the initial residual capacity smaller than the initial transportation required capacity, and the initial transportation required capacity is determined based on the current position and the transportation task;

counting the number of vehicles to be charged corresponding to each recommended charging station, and if the number of vehicles is larger than a first preset number of vehicles, determining the recommended charging station as a target charging station;

determining a charging sequence of the vehicle to be charged based on battery data of the vehicle to be charged corresponding to the target charging station;

determining the current transportation demand electric quantity based on the current position of the vehicle to be charged, the target charging station position and the transportation task, which correspond to the target charging station;

and determining at least one vehicle to be charged as a current charging vehicle according to the charging sequence, and charging the current charging vehicle until the current residual electric quantity of the current charging vehicle is greater than or equal to the current transportation demand electric quantity of the current charging vehicle, and determining the next charging vehicle according to the charging sequence until all the vehicles to be charged corresponding to the target charging station are charged.

2. The vehicle charge management method according to claim 1, wherein determining a recommended charging station for each vehicle to be charged based on the initial remaining capacity and the transportation mission comprises:

acquiring a transportation route of each vehicle to be charged and a charging station position in the transportation route;

calculating the predicted distance from the current position of each vehicle to be charged to each charging station position in the transportation route according to the current position of each vehicle to be charged, the transportation route and each charging station position in the transportation route;

obtaining the furthest distance which can be reached by each vehicle to be charged according to the transportation route and the initial residual electric quantity;

obtaining the furthest charging station which can be reached by each vehicle to be charged according to the predicted distance and the furthest distance;

determining the furthest charging station as the recommended charging station.

3. The vehicle charge management method according to claim 1, further comprising, after determining the recommended charging station as a target charging station:

obtaining a forward moving charging station according to the transportation task of the vehicle to be charged and the target charging station, wherein the forward moving charging station is the previous charging station of the target charging station in the transportation task;

Counting the number of vehicles to be charged of the vehicles to be charged corresponding to the target charging station;

if the number of vehicles to be charged is greater than or equal to a second preset number of vehicles, and the number of vehicles to be charged of the forward charging station is smaller than the second preset number of vehicles, determining the forward charging station as a new target charging station, wherein the second preset number of vehicles is greater than the first preset number of vehicles.

4. The vehicle charge management method according to claim 1, wherein determining a charge order of the vehicle to be charged based on battery data of the vehicle to be charged corresponding to the target charging station includes:

the battery data of the vehicle to be charged corresponding to the target charging station obtain the battery electric quantity, the battery performance and the battery age of the vehicle to be charged corresponding to the target charging station;

calculating a charging priority coefficient according to the battery electric quantity, the battery performance, the battery age, a first preset weight, a second preset weight, a third preset weight and a preset environmental impact coefficient, wherein the sum of the first preset weight, the second preset weight and the third preset weight is a preset value;

And determining the charging sequence of the vehicle to be charged based on the charging priority coefficient.

5. The vehicle charge management method according to any one of claims 1 to 4, wherein determining a current transportation demand charge based on a current position of the vehicle to be charged, a target charging station position, and the transportation mission, which correspond to the target charging station, includes:

acquiring environmental data of the vehicle to be charged corresponding to the target charging station;

determining a predicted driving distance according to the current position of the vehicle to be charged corresponding to the target charging station and the position of the target charging station, wherein the predicted driving distance is the distance from the current position of each vehicle to be charged to the target charging station;

matching a preset environmental influence coefficient based on the environmental data to obtain the preset environmental influence coefficient;

and determining the current transportation required electric quantity according to the preset environmental influence coefficient, the predicted driving distance and the power consumption per unit distance under the simulation condition.

6. The vehicle charge management method according to any one of claims 1 to 4, characterized in that at least one vehicle to be charged is determined as a current charging vehicle in the charging order, and after charging the current charging vehicle, further comprising:

Calculating an electric quantity comparison coefficient of each current charging vehicle according to a preset electric quantity error coefficient, the current residual electric quantity of each current charging vehicle and the current transportation demand electric quantity;

if the electric quantity comparison coefficient is larger than or equal to a preset electric quantity comparison threshold value, controlling the current charging vehicle to finish charging;

if the electric quantity comparison coefficient is smaller than the preset electric quantity comparison threshold value, controlling the current charging vehicle to continue charging;

and determining the next charging vehicle according to the charging sequence until all the vehicles to be charged corresponding to the target charging station are charged.

7. The vehicle charge management method according to any one of claims 1 to 4, characterized in that at least one vehicle to be charged is determined as a current charging vehicle in the charging order, and after charging the current charging vehicle, further comprising:

acquiring current environment data of each current charging vehicle;

obtaining target transportation demand electric quantity of each current charging vehicle according to the current residual electric quantity of each current charging vehicle and the battery capacity in the battery data;

and if the current environmental data accords with the preset environmental conditions and the current residual electric quantity of the current charging vehicle is larger than or equal to the target transportation demand electric quantity, controlling the current charging vehicle to finish charging, and determining the next charging vehicle according to the charging sequence until all the vehicles to be charged corresponding to the target charging station are charged.

8. A vehicle charge management device, characterized by comprising:

the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring the current position, battery data, initial residual capacity and transportation tasks of a plurality of transportation vehicles;

the first processing module is used for determining a recommended charging station of each vehicle to be charged according to the initial residual electric quantity and the transportation task if the vehicle to be charged exists, wherein the vehicle to be charged is a transportation vehicle with the initial residual electric quantity smaller than the initial transportation required electric quantity, and the initial transportation required electric quantity is determined based on the current position and the transportation task;

the second processing module is used for counting the number of vehicles of the vehicles to be charged corresponding to each recommended charging station, and determining the recommended charging station as a target charging station if the number of vehicles is larger than a first preset number of vehicles;

the third processing module is used for determining the charging sequence of the vehicle to be charged based on the battery data of the vehicle to be charged corresponding to the target charging station;

the fourth processing module is used for determining the current transportation demand electric quantity based on the current position of the vehicle to be charged, the target charging station position and the transportation task, which correspond to the target charging station;

And the charging management module is used for determining at least one vehicle to be charged as a current charging vehicle according to the charging sequence, charging the current charging vehicle until the current residual electric quantity of the current charging vehicle is greater than or equal to the current transportation demand electric quantity of the current charging vehicle, and determining the next charging vehicle according to the charging sequence until all the vehicles to be charged corresponding to the target charging station are charged.

9. An electronic device, the electronic device comprising:

one or more processors;

storage means for storing one or more programs that, when executed by the one or more processors, cause the electronic device to implement the vehicle charge management method of any of claims 1-7.

10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor of a computer, causes the computer to perform the vehicle charge management method according to any one of claims 1 to 7.