Electric vehicle charging device determination method, apparatus, device, and storage medium

Abstract

The application provides a method, device and equipment for determining an electric vehicle charging device and a storage medium. The charging device comprises a battery management system (BMS) and a plurality of energy storage units, and the BMS controls the energy storage units to supply power to the outside. The method comprises: obtaining user order information and a working state of at least one energy storage unit in a first charging device, wherein the user order information comprises the required power of an electric vehicle, and the first charging device is a charging device in an idle state and with a normally working BMS; and determining a target charging device from the first charging device according to the user order information, the working state of the energy storage unit of the first charging device and the power storage capacity of the first charging device. The method of the application can quickly determine a target charging device with an actual available power storage capacity meeting the charging demand of the electric vehicle, thereby improving the user experience.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular to a method, apparatus, device, and storage medium for determining electric vehicle charging equipment. Background Technology

[0002] Electric vehicles, as an important end-use of new energy sources, have gradually replaced traditional gasoline-powered vehicles as one of the most important modes of transportation. However, due to limitations in battery capacity, the charging issue is a key problem affecting the widespread adoption of electric vehicles.

[0003] Currently, when electric vehicles need charging, users first locate charging stations and then choose from several available and operational stations to charge their vehicles. Similarly, when users choose charging equipment located in fixed locations, they also need to select a suitable charging station from multiple options.

[0004] Electric vehicle users may have difficulty quickly identifying a suitable charging station due to equipment malfunctions or insufficient battery power, resulting in a poor user experience. Summary of the Invention

[0005] This application provides a method, apparatus, device, and storage medium for determining electric vehicle charging equipment, in order to solve the problem of difficulty in quickly determining the target charging equipment.

[0006] In a first aspect, this application provides a method for determining an electric vehicle charging device, the charging device including a Battery Management System (BMS) and multiple energy storage units, wherein the BMS controls the energy storage units to supply power to the outside, and the method includes:

[0007] The system obtains user order information and the working status of at least one energy storage unit in a first charging device, wherein the user order information includes the amount of electricity required by the electric vehicle, and the first charging device is a charging device that is in an idle state and whose BMS is working normally.

[0008] Based on the user order information, the working status of the energy storage unit of at least one first charging device, and the energy storage capacity of the first charging device, the target charging device is determined from the first charging devices.

[0009] In some embodiments, the operating states of the energy storage unit include normal state and fault state.

[0010] In some embodiments, determining a target charging device from the first charging devices based on user order information, the operating status of at least one energy storage unit of the first charging device, and the energy storage capacity of the first charging device includes:

[0011] From the first charging device, at least one second charging device is determined to have multiple energy storage units in normal condition;

[0012] From the second charging device, at least one third charging device is determined whose energy storage capacity meets the energy requirements of the electric vehicle, wherein the energy storage capacity is the sum of the energy storage capacity of multiple energy storage units in the second charging device;

[0013] The target charging device is determined from the third charging device.

[0014] In some embodiments, determining the target charging device from the third charging device includes:

[0015] The third charging device with the optimal State of Health (SOH) or the largest amount of stored energy is identified as the target charging device.

[0016] In some embodiments, determining a target charging device from the first charging devices based on user order information, the operating status of at least one energy storage unit of the first charging device, and the energy storage capacity of the first charging device includes:

[0017] It was determined that at least one energy storage unit in each of the first charging devices was in a fault state.

[0018] From the first charging device, at least one fourth charging device is identified, wherein the energy storage unit of the fourth charging device in a fault state is not adjacent to the BMS;

[0019] Determine the energy storage capacity of the fourth charging device, which is the sum of the energy storage capacities of all energy storage units located above the faulty energy storage unit.

[0020] From the fourth charging device, identify at least one fifth charging device whose stored energy capacity meets the power requirements of the electric vehicle;

[0021] The target charging device is determined from the fifth charging device.

[0022] In some embodiments, determining the target charging device from the fifth charging device includes:

[0023] The fifth charging device, which has the best SOH or the largest energy storage capacity, is identified as the target charging device.

[0024] In some embodiments, if the energy storage capacity of the fourth charging device is insufficient to meet the energy requirements of the electric vehicle, the method further includes:

[0025] From the fourth charging device, at least two sixth charging devices are identified as target charging devices, and the sum of the energy storage capacity of the at least two sixth charging devices is sufficient to meet the energy requirements of the electric vehicle.

[0026] Secondly, this application provides an electric vehicle charging equipment determining device. The charging equipment includes a battery management system (BMS) and multiple energy storage units. The BMS controls the energy storage units to supply power to the outside. The device includes:

[0027] The acquisition module is used to acquire user order information and the working status of at least one energy storage unit in the first charging device. The user order information includes the amount of electricity required by the electric vehicle, and the first charging device is an idle charging device with the BMS working normally.

[0028] The determination module is used to determine the target charging device from the first charging devices based on user order information, the working status of the energy storage unit of at least one first charging device, and the energy storage capacity of the first charging device.

[0029] Thirdly, this application provides an electronic device, including: a memory and a processor;

[0030] Memory is used to store computer programs;

[0031] The processor is used to execute a computer program stored in the memory to implement the electric vehicle charging device determination method of the first aspect and any embodiment of the first aspect.

[0032] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the electric vehicle charging device determination method of the first aspect and any embodiment of the first aspect.

[0033] Fifthly, this application provides a computer program product, which includes a computer program that, when executed by a processor, implements the electric vehicle charging device determination method of the first aspect and any embodiment of the first aspect.

[0034] The electric vehicle charging device determination method, apparatus, device, and storage medium provided in this application determine the required electricity of the electric vehicle and the stored capacity of the first charging device by acquiring user order information and the operating status of energy storage units within at least one first charging device. Based on the operating status of the energy storage units of at least one first charging device and the stored capacity of the first charging device, the first charging device that meets the required electricity of the electric vehicle is determined as the target charging device. This method can quickly determine charging devices with actual available stored capacity that meet the charging needs of electric vehicles, thus improving the user experience. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a schematic diagram of a scenario for an electric vehicle charging device provided in an embodiment of this application;

[0037] Figure 2 A flowchart illustrating a method for determining an electric vehicle charging device according to an embodiment of this application;

[0038] Figure 3 This is a schematic diagram of the structure of an electric vehicle charging equipment determining device according to an embodiment of this application;

[0039] Figure 4 This is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0041] The terms "first," "second," "third," "fourth," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be used interchangeably where appropriate. For example, without departing from the scope of this document, first information can also be referred to as second information, and similarly, second information can also be referred to as first information.

[0042] With the increasing popularity of new energy electric vehicles, the charging issue is receiving more and more attention from operators. Currently, the most common charging method for electric vehicles is to charge them directly at idle and fault-free charging stations. In addition, operators can also deploy charging equipment, which consists of a BMS and multiple energy storage units stacked sequentially. The total energy storage capacity is the sum of the energy storage capacity of the multiple energy storage units, and electric vehicle users can choose charging equipment with sufficient remaining energy storage capacity to charge their vehicles.

[0043] However, if a certain energy storage unit in the charging equipment malfunctions, neither that energy storage unit nor the energy storage units below it can supply power. The indicated available energy storage capacity of the charging equipment is still the sum of the energy storage capacity of all energy storage units. In this case, the actual available energy storage capacity of the charging equipment selected by the user cannot meet the charging needs of the electric vehicle, which makes it difficult for the user to quickly determine the actual available charging equipment.

[0044] To address the aforementioned issues, this application proposes a method, apparatus, device, and storage medium for determining electric vehicle charging equipment. The method for determining electric vehicle charging equipment involves obtaining user order information to determine the required electricity volume of the electric vehicle, acquiring the operating status of at least one energy storage unit within a first charging device, and determining, based on the operating status of the energy storage units in the first charging device and the energy storage capacity of the first charging device, a first charging device that meets the electric vehicle's required electricity volume as the target charging device. This method, based on consideration of the operating status of the energy storage units in the charging device, avoids the problem caused by the actual available energy storage capacity of the charging device being lower than the indicated available energy storage capacity, quickly determining a charging device with actual available energy storage capacity that meets the electric vehicle's charging needs, and improving the user experience.

[0045] The technical solutions of this application will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0046] Figure 1 A schematic diagram of a scenario for an electric vehicle charging device according to an embodiment of this application is shown. Figure 1 As shown, a charging device consists of a BMS and five energy storage units. The dashed box indicates a faulty energy storage unit. When all five energy storage units are in normal condition, the actual usable storage capacity of the charging device is the sum of the storage capacities of the five energy storage units, as shown in charging device 2. If energy storage unit 4 of charging device 1 is faulty, its actual usable storage capacity is the sum of the storage capacities of energy storage units 1, 2, and 3. If energy storage unit 1 of charging device 3 is faulty, there is no actual usable storage capacity, and it cannot supply power.

[0047] In this application, an electronic device is used as the execution subject to perform the electric vehicle charging device determination method of the following embodiments. Specifically, the execution subject can be a hardware device of the electronic device, a software application implementing the following embodiments in the electronic device, a computer-readable storage medium installed with the software application implementing the following embodiments, or code implementing the software application.

[0048] Figure 2 A flowchart illustrating a method for determining an electric vehicle charging device according to an embodiment of this application is shown. Figure 2As shown, with electronic devices as the main implementers, the charging device includes a BMS and multiple energy storage units. The BMS controls the energy storage units to supply power to the outside. The method in this embodiment may include the following steps:

[0049] S201. Obtain user order information and the working status of at least one energy storage unit in the first charging device, wherein the user order information includes the amount of electricity required by the electric vehicle, and the first charging device is a charging device that is in an idle state and whose BMS is working normally.

[0050] In this embodiment, normal operation of the BMS ensures that the first charging device can supply power to the outside world when it has sufficient stored energy, thus meeting the user's charging needs. If the BMS fails to operate normally, the charging device is considered faulty.

[0051] S202. Based on the user order information, the working status of the energy storage unit of at least one first charging device, and the energy storage capacity of the first charging device, determine the target charging device from the first charging devices.

[0052] In this embodiment, the operating state of the energy storage unit of the first charging device directly affects the energy storage capacity of the first charging device. Here, energy storage capacity refers to the usable energy storage capacity. The energy storage capacity of the first charging device can be determined based on the operating state of its energy storage unit.

[0053] The electric vehicle charging device determination method provided in this embodiment obtains user order information to determine the user's required electricity, acquires the working status of the energy storage unit of the first charging device to determine the energy storage capacity of the first charging device, and then selects the target device from the first charging devices to charge the user's electric vehicle. This method can quickly determine the actually available first charging device, avoiding the problem of the available energy storage capacity indicated by the charging device selected by the user not matching the actual available energy storage capacity, thus improving the user experience.

[0054] In some embodiments, the operating states of the energy storage unit include normal state and fault state.

[0055] In this embodiment, if the energy storage unit is in a faulty state, its position within the charging device will directly affect the actual usable energy storage capacity of the charging device. Neither the faulty energy storage unit nor the energy storage units located below it can supply power. The actual usable energy storage capacity of the charging device is the sum of the energy storage capacities of the energy storage units above the faulty energy storage unit.

[0056] In some embodiments, step S202 may be implemented as follows: from the first charging device, at least one second charging device in which all of the multiple energy storage units are in a normal state is determined; from the second charging device, at least one third charging device whose energy storage capacity meets the power requirements of the electric vehicle is determined, wherein the energy storage capacity is the sum of the energy storage capacity of the multiple energy storage units in the second charging device; and from the third charging device, a target charging device is determined.

[0057] In this embodiment, if some of the energy storage units of the first charging device malfunction, the charging device whose energy storage units are all in normal condition and whose stored capacity meets the user's order demand is selected as the target charging device. This method for determining electric vehicle charging devices selects charging devices whose energy storage units are all in normal condition. The actual usable stored capacity is the sum of the stored capacity of multiple energy storage units. As long as the stored capacity meets the user's required power, it can be used as the target charging device, thus avoiding the problem of discrepancies between the indicated usable stored capacity and the actual usable stored capacity.

[0058] In some embodiments, determining the target charging device from the third charging devices may involve identifying the third charging device with the optimal State of Health (SOH) or the largest amount of stored energy as the target charging device.

[0059] SOH represents the health status, which can be understood as the percentage of the current energy storage capacity of the charging device relative to the factory-set energy storage capacity.

[0060] In this embodiment, after determining that all energy storage units are in normal condition and that the stored capacity meets the user's order requirements, the method selects a target charging device. This can be either the third charging device with the optimal State of Health (SOH) or the third charging device with the largest stored capacity. Selecting the third charging device with the optimal SOH avoids significant differences in wear and tear among multiple charging devices, reducing the operator's maintenance workload. Selecting the third charging device with the largest stored capacity avoids power instability issues during user operation.

[0061] In some embodiments, step S202 may be implemented as follows: determining that at least one energy storage unit in each of the first charging devices is in a fault state; determining at least one fourth charging device from the first charging devices, wherein the energy storage unit in the fault state of the fourth charging device is not adjacent to the BMS; determining the energy storage capacity of the fourth charging device, wherein the energy storage capacity of the fourth charging device is the sum of the energy storage capacities of all energy storage units located above the energy storage unit in the fault state; determining at least one fifth charging device from the fourth charging devices whose energy storage capacity meets the power requirements of the electric vehicle; and determining the target charging device from the fifth charging devices.

[0062] The method in this embodiment identifies at least one fourth charging device when all energy storage units in the first charging devices have faulty functions. The energy storage units adjacent to the BMS in this fourth charging device are in a normal state, meaning the fourth charging device can supply power. If the stored capacity of this fourth charging device meets the user's power requirements, it can be used as the target charging device. Here, the stored capacity refers to the sum of the stored capacities of the energy storage units above the faulty energy storage units. This method can quickly identify the target charging device, whose actual usable stored capacity meets the user's power requirements.

[0063] In some embodiments, determining the target charging device from the fifth charging devices can be done by identifying the fifth charging device with the optimal SOH or the largest amount of stored energy as the target charging device.

[0064] The technical effects of this embodiment are similar to those of the previous embodiment, and will not be repeated here.

[0065] In some embodiments, if the energy storage capacity of the fourth charging device is insufficient to meet the energy requirements of the electric vehicle, the method further includes: determining at least two sixth charging devices as target charging devices from the fourth charging devices, wherein the sum of the energy storage capacity of the at least two sixth charging devices meets the energy requirements of the electric vehicle.

[0066] In this embodiment, considering that the energy storage capacity of a single fourth charging device is lower than the energy required by the user, at least two charging devices can be selected to charge the user's electric vehicle in sequence to meet the user's electric vehicle power demand.

[0067] Figure 3 A schematic diagram of an electric vehicle charging device determining apparatus 30 according to an embodiment of this application is shown. The charging device includes a battery management system (BMS) and multiple energy storage units, with the BMS controlling the energy storage units to supply power externally. Figure 3 As shown, the electric vehicle charging device determining apparatus 30 in this embodiment includes:

[0068] The acquisition module 301 is used to acquire user order information and the working status of at least one energy storage unit in the first charging device. The user order information includes the amount of electricity required by the electric vehicle, and the first charging device is an idle charging device with the BMS working normally.

[0069] The determination module 302 is used to determine the target charging device from the first charging devices based on user order information, the working status of the energy storage unit of at least one first charging device, and the energy storage capacity of the first charging device.

[0070] The electric vehicle charging equipment determining device 30 provided in this application embodiment can execute the above method embodiment. Its specific implementation principle and technical effect can be found in the above method embodiment, and will not be repeated here.

[0071] Figure 4 A schematic diagram of the hardware structure of an electronic device according to an embodiment of this application is shown. Figure 4 As shown, the electronic device 40 is used to implement the operation corresponding to the electronic device in any of the above method embodiments. The electronic device 40 in this embodiment may include: a memory 401 and a processor 402.

[0072] Memory 401 is used to store computer programs. Memory 401 may include high-speed random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device, and may also be a USB flash drive, external hard drive, read-only memory, disk, or optical disc, etc.

[0073] Processor 402 is used to execute a computer program stored in memory to implement the electric vehicle charging device determination method in the above embodiments. For details, please refer to the relevant descriptions in the foregoing method embodiments. The processor 402 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0074] Alternatively, the memory 401 can be either standalone or integrated with the processor 402.

[0075] When the memory 401 is a device independent of the processor 402, the electronic device 40 may also include a bus. This bus is used to connect the memory 401 and the processor 402. This bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0076] The electronic device provided in this embodiment can be used to execute the above-described method for determining electric vehicle charging equipment. Its implementation and technical effects are similar, and will not be described again here.

[0077] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, is used to implement the methods provided in the various embodiments described above.

[0078] The computer-readable storage medium can be a computer storage medium or a communication medium. A communication medium includes any medium that facilitates the transfer of a computer program from one location to another. A computer storage medium can be any available medium accessible to a general-purpose or special-purpose computer. For example, a computer-readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the computer-readable storage medium. Of course, the computer-readable storage medium can also be a component of the processor. The processor and the computer-readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the ASIC can reside in a user equipment. Of course, the processor and the computer-readable storage medium can also exist as discrete components in a communication device.

[0079] Specifically, the computer-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random-Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The storage medium can be any available medium accessible to general-purpose or special-purpose computers.

[0080] This application also provides a computer program product comprising a computer program stored in a computer-readable storage medium. At least one processor of the device can read the computer program from the computer-readable storage medium, and the at least one processor executes the computer program to cause the device to implement the methods provided in the various embodiments described above.

[0081] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or modules may be electrical, mechanical, or other forms.

[0082] The modules can be physically separate, for example, installed in different locations within a single device, installed on different devices, distributed across multiple network units, or distributed across multiple processors. Alternatively, the modules can be integrated, for example, installed in the same device, or integrated into a single codebase. The modules can exist in hardware form, software form, or a combination of both. This application can select some or all of the modules to achieve the objectives of this embodiment based on actual needs.

[0083] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and not to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A method for determining electric vehicle charging equipment, characterized in that, The charging device includes a battery management system (BMS) and multiple energy storage units. The BMS controls the energy storage units to supply power to external devices. The method includes: The system obtains user order information and the working status of at least one energy storage unit in a first charging device, wherein the user order information includes the amount of electricity required by the electric vehicle, and the first charging device is a charging device that is in an idle state and whose BMS is working normally. Based on the user order information, the operating status of the energy storage unit of the at least one first charging device, and the energy storage capacity of the first charging device, a target charging device is determined from the first charging devices; wherein, the operating status of the energy storage unit includes a normal state and a fault state, and when there is an energy storage unit in a fault state, the actual available energy storage capacity of the first charging device is the sum of the energy storage capacities of all energy storage units located above the energy storage unit in the fault state.

2. The method according to claim 1, characterized in that, The operating states of the energy storage unit include normal state and fault state; The step of determining the target charging device from the first charging devices based on the user order information, the operating status of the energy storage unit of at least one first charging device, and the energy storage capacity of the first charging device includes: From the first charging device, at least one second charging device is determined to be in a normal state for all of the plurality of energy storage units; From the second charging device, at least one third charging device is determined whose energy storage capacity meets the energy requirements of the electric vehicle, wherein the energy storage capacity is the sum of the energy storage capacity of multiple energy storage units in the second charging device; The target charging device is determined from the third charging device.

3. The method according to claim 2, characterized in that, The step of determining the target charging device from the third charging device includes: The third charging device, which is determined to have the optimal state of health (SOH) or the highest energy storage capacity, is the target charging device.

4. The method according to claim 1, characterized in that, The operating states of the energy storage unit include normal state and fault state; The step of determining the target charging device from the first charging devices based on the user order information, the operating status of the energy storage unit of at least one first charging device, and the energy storage capacity of the first charging device includes: It is determined that at least one energy storage unit in each of the first charging devices is in a fault state. From the first charging device, at least one fourth charging device is determined, wherein the energy storage unit of the fourth charging device in the fault state is not adjacent to the BMS; The energy storage capacity of the fourth charging device is determined, wherein the energy storage capacity of the fourth charging device is the sum of the energy storage capacities of all energy storage units located above the energy storage unit in the fault state; From the fourth charging device, at least one fifth charging device is determined whose stored energy capacity meets the power requirements of the electric vehicle; The target charging device is determined from the fifth charging device.

5. The method according to claim 4, characterized in that, The step of determining the target charging device from the fifth charging device includes: The fifth charging device, which is determined to have the optimal SOH or the highest energy storage capacity, is the target charging device.

6. The method according to claim 5, characterized in that, If the energy storage capacity of the fourth charging device is insufficient to meet the energy requirements of the electric vehicle, the method further includes: From the fourth charging device, at least two sixth charging devices are identified as target charging devices, and the sum of the energy storage capacity of the at least two sixth charging devices meets the energy requirements of the electric vehicle.

7. A device for determining electric vehicle charging equipment, characterized in that, The charging equipment includes a battery management system (BMS) and multiple energy storage units. The BMS controls the energy storage units to supply power to external devices. The device includes: The acquisition module is used to acquire user order information and the working status of at least one energy storage unit in the first charging device, wherein the user order information includes the amount of electricity required by the electric vehicle, and the first charging device is an idle charging device with the BMS working normally. The determination module is used to determine a target charging device from the first charging devices based on the user order information, the working status of the energy storage units of the at least one first charging device, and the energy storage capacity of the first charging device; wherein, the working status of the energy storage unit includes a normal state and a fault state, and when there is an energy storage unit in a fault state, the actual available energy storage capacity of the first charging device is the sum of the energy storage capacities of all energy storage units located above the energy storage unit in the fault state.

8. An electronic device, characterized in that, The device includes: a memory and a processor; The memory is used to store computer programs; The processor is used to execute the computer program stored in the memory to implement the electric vehicle charging device determination method as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, is used to implement the electric vehicle charging device determination method as described in any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the electric vehicle charging device determination method according to any one of claims 1-6.

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