A vehicle-cloud collaborative intelligent charging control system, method, and medium for electric vehicles

Abstract

The present invention discloses a vehicle-cloud collaborative intelligent charging control system, method, and medium for electric vehicles, belonging to the field of electric vehicle technology, comprising: upon receiving user vehicle charging intention request data, obtaining user vehicle charging intention data in the user vehicle charging intention request data; and determining the optimal charging location and battery charging management strategy data based on the user vehicle charging intention data and a charging station network map. This patent provides a vehicle-cloud collaborative intelligent charging control system, method, and medium for electric vehicles, which, without consuming a large amount of research manpower and time, can establish a true and reliable charging station network map based solely on the end user's vehicle usage experience and charging data, thereby providing users with the optimal charging pile selection plan, improving user experience, and simultaneously performing protection control based on the charging pile safety level, thereby improving charging safety.

Description

Technical Field

[0001] The present invention discloses a vehicle-cloud collaborative intelligent charging control system, method and medium for an electric vehicle, belonging to the technical field of electric vehicles. Background Art

[0002] With the development of the new energy vehicle industry, the charging station industry is experiencing rapid growth, and the number of charging piles has also seen explosive growth. However, the relatively low technical barriers to entry for charging piles, coupled with the numerous manufacturers involved, have led to varying quality levels on the market. Fires caused by uncontrolled charging piles are a common occurrence. Some charging stations, due to lack of maintenance, have fallen into disrepair, leading to frequent complaints from users. Furthermore, due to the numerous manufacturers, diverse types, and differing development standards and philosophies, compatibility with vehicles has always been a focus of industry attention.

[0003] Therefore, establishing a comprehensive "profile" of charging piles on the market and providing users with optimal charging solutions will become a key area of ​​competition for various companies. Furthermore, effectively identifying charging piles with safety issues and implementing targeted charging protection controls during the charging process is also a major technical challenge for the industry. Summary of the Invention

[0004] The purpose of the present invention is to solve the existing complaints from users who go to charge because the charging piles are not working or charging slowly, as well as the problem of repetitive safety risks caused by charging pile quality problems during the charging process, and to propose a vehicle-cloud collaborative electric vehicle intelligent charging control system, method and medium.

[0005] The problem to be solved by the present invention is achieved by the following technical solutions:

[0006] According to a first aspect of an embodiment of the present invention, a vehicle-cloud collaborative intelligent charging control system for an electric vehicle is provided, comprising: an electric vehicle intelligent charging management and control cloud platform, a digital twin platform, an Internet service gateway, an Internet of Vehicles gateway, and a vehicle terminal, wherein:

[0007] The electric vehicle intelligent charging management and control cloud platform is used to receive charging pile model data and charging station model data to establish a charging station network map, and is also used to receive user vehicle charging intention request data and determine the optimal charging location and battery charging management strategy data based on the charging station network map and send them to the Internet service gateway;

[0008] The digital twin platform is used to receive real-time data transmitted by the Internet of Vehicles gateway, map the actual vehicle terminal from the physical space to the virtual space to form a virtual vehicle terminal, and complete the two-way data transmission between the electric vehicle intelligent charging management and control cloud platform through the Internet service gateway, and is also used to send the optimal charging location and battery charging management strategy data to the Internet of Vehicles gateway;

[0009] The Internet service gateway is used to realize the service packaging and information interaction of the electric vehicle intelligent charging management and control cloud platform and the digital twin platform;

[0010] The IoV gateway is used to obtain charging and battery-related data from the vehicle terminal and transmit the obtained data to the digital twin platform. It is also used to receive the optimal charging location and battery charging management strategy data from the digital twin platform and transmit it to the corresponding device through the data interface;

[0011] The vehicle terminal is used to obtain charging and battery related data, and transmit the obtained data to the Internet of Vehicles gateway.

[0012] Preferably, it also includes a mobile terminal, which is used to obtain the owner's electric vehicle charging data through the charging APP and transmit the obtained data to the Internet of Vehicles gateway. The Internet of Vehicles gateway is also used to obtain the owner's electric vehicle charging data in the mobile terminal and transmit the obtained data to the digital twin platform. The digital twin platform is also used to receive the owner's electric vehicle charging data transmitted by the Internet of Vehicles gateway and transmit it to the electric vehicle intelligent charging management and control cloud platform through the Internet service gateway. The electric vehicle intelligent charging management and control cloud platform is also used to determine the charging pile data and charging station data according to the owner's electric vehicle charging data to optimize the charging station network map.

[0013] Preferably, the Internet of Vehicles gateway is also used for identity recognition and verification of vehicle terminals.

[0014] Preferably, the vehicle terminal includes at least: a charging pile model, a display module, a charging station model, a battery management system and a charging control module. The charging station model includes at least: the number of charging piles in the charging station, the weighting of each charging pile model, the charging load in each time period and the charging fee standard. Therefore, the charging pile model includes at least: charging pile basic data, charging pile safety data, charging matching data, charging reliability data and charging pile level.

[0015] According to a second aspect of an embodiment of the present invention, a vehicle-cloud collaborative intelligent charging control method for an electric vehicle is provided, comprising:

[0016] When receiving user vehicle charging intention request data, obtaining user vehicle charging intention data in the user vehicle charging intention request data;

[0017] The optimal charging location and battery charging management strategy data are determined based on the user's vehicle charging intention data and the charging station network map.

[0018] Preferably, the user's vehicle charging intention data includes at least: current battery status, current geographic location and current time.

[0019] Preferably, the determining of the optimal charging location and battery charging management strategy data based on the user's vehicle charging intention data and the charging station network map includes:

[0020] Determine the charging pile classification level, the current charging station busy status, the estimated charging queue time, the estimated charging completion time, and the distance between the charging pile location and commonly used charging locations based on the current battery status, current geographic location, current time, and charging station network map;

[0021] Determine the optimal charging location based on the charging pile classification level, the current busy status of the charging station, the estimated charging queue time, the estimated charging completion time, and the distance between the charging pile location and commonly used charging locations;

[0022] The battery charging management strategy data is determined according to the charging pile classification level.

[0023] According to a third aspect of an embodiment of the present invention, a vehicle-cloud collaborative intelligent charging control device for an electric vehicle is provided, characterized by comprising:

[0024] an acquisition module, configured to, upon receiving a user vehicle charging intention request data, acquire the user vehicle charging intention data in the user vehicle charging intention request data;

[0025] The judgment module is used to determine the optimal charging location and battery charging management strategy data based on the user's vehicle charging intention data and the charging station network map.

[0026] According to a fourth aspect of an embodiment of the present invention, a cloud server is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the vehicle-cloud collaborative intelligent charging control method for electric vehicles described in the second aspect is implemented.

[0027] According to a fifth aspect of an embodiment of the present invention, a computer-readable storage medium stores a computer program thereon, wherein when the computer program is executed by a processor, the vehicle-cloud collaborative intelligent charging control method for electric vehicles described in the second aspect is implemented.

[0028] According to the sixth aspect of an embodiment of the present invention, an application product is provided. When the application product is running on a terminal, the terminal executes the vehicle-cloud collaborative intelligent charging control method for electric vehicles described in the first aspect of an embodiment of the present invention.

[0029] The beneficial effects of the present invention are:

[0030] This patent provides a vehicle-cloud collaborative intelligent charging control system, method and medium for electric vehicles. It does not require a lot of research manpower and time. It only relies on the end user's vehicle usage experience and charging data to establish a real and reliable charging station network map, thereby providing users with the best charging pile selection plan, improving user experience, and at the same time performing protection control according to the safety level of the charging pile, thereby improving charging safety.

[0031] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 This is a schematic structural diagram of a vehicle-cloud collaborative electric vehicle intelligent charging control system according to an exemplary embodiment;

[0033] Figure 2 This is a flow chart showing a vehicle-cloud collaborative intelligent charging control method for an electric vehicle according to an exemplary embodiment;

[0034] Figure 3 This is a schematic block diagram of the structure of a vehicle-cloud collaborative intelligent charging control device for an electric vehicle according to an exemplary embodiment;

[0035] Figure 4 The figure is a schematic block diagram of a cloud server structure according to an exemplary embodiment. DETAILED DESCRIPTION

[0036] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0037] In the description of the present invention, it should be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc., indicating directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction. Therefore, they cannot be understood as limiting the present invention.

[0038] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0039] Example 1

[0040] Figure 1 This is a flow chart of a vehicle-cloud collaborative electric vehicle intelligent charging control system according to an exemplary embodiment, including: an electric vehicle intelligent charging management and control cloud platform, a digital twin platform, an Internet service gateway, a mobile terminal, an Internet of Vehicles gateway, and a vehicle terminal, wherein:

[0041] The electric vehicle intelligent charging management and control cloud platform is used to receive charging pile model data and charging station model data to establish a charging station network map. It is also used to receive user vehicle charging intention request data and determine the optimal charging location and battery charging management strategy data based on the charging station network map and send them to the Internet service gateway. The electric vehicle intelligent charging management and control cloud platform is also used to determine the charging pile data and charging station data based on the owner's electric vehicle charging data to optimize the charging station network map;

[0042] The digital twin platform is used to receive real-time data transmitted by the Internet of Vehicles gateway, map the actual vehicle terminal from the physical space to the virtual space to form a virtual vehicle terminal, and complete the two-way data transmission between the electric vehicle intelligent charging management cloud platform through the Internet service gateway. It is also used to send the optimal charging location and battery charging management strategy data to the Internet of Vehicles gateway. The digital twin platform is also used to receive the owner's electric vehicle charging data transmitted by the Internet of Vehicles gateway and transmit it to the electric vehicle intelligent charging management cloud platform through the Internet service gateway;

[0043] The Internet service gateway is used to realize the service encapsulation and information interaction of the electric vehicle smart charging management and control cloud platform and the digital twin platform;

[0044] The IoV gateway is used to obtain charging and battery-related data from vehicle terminals and transmit the obtained data to the digital twin platform. It is also used to receive the optimal charging location and battery charging management strategy data from the digital twin platform and transmit it to the corresponding device through the data interface. The IoV gateway is also used to obtain the owner's electric vehicle charging data from the mobile terminal and transmit the obtained data to the digital twin platform. The IoV gateway is also used to identify and verify the vehicle terminal, and authenticate the identity through the vehicle VIN data and user registration data;

[0045] The vehicle terminal is used to obtain charging and battery-related data and transmit the obtained data to the Internet of Vehicles gateway;

[0046] The mobile terminal is used to obtain the owner's electric vehicle charging data through the charging APP and transmit the obtained data to the Internet of Vehicles gateway.

[0047] The vehicle terminal includes at least: a charging pile model, a display module, a charging station model, a battery management system, and a charging control module. The charging pile model includes at least: basic charging pile data, charging pile safety data, charging compatibility data, charging reliability data, and charging pile level.

[0048] The basic data of the charging pile include: the location of the charging pile, which can be obtained through the vehicle GPS; the version data of the charging pile, which can be obtained through the charging message CHM in the national standard "GB / T27930"; the charging pile number, which can be obtained through the charging message CHM in the national standard "GB / T27930"; the output voltage range of the charging pile, which can be obtained through the charging message CML in the national standard "GB / T27930"; the output current range of the charging pile, which can be obtained through the charging message CML in the national standard "GB / T27930"; the actual maximum charging current; the maximum output capacity of the charging pile for this charging. If the charging pile continues to charge according to the current requested by the BMS, this bit sends an invalid value; the maximum allowable charging upper limit SOC of the charging pile. The charging pile will actively stop charging when the vehicle reaches a certain power value.

[0049] Charging pile safety data includes: current charging fault status, such as charging overcurrent fault, short circuit fault, charging overvoltage fault, insulation fault, communication timeout fault, and other charging pile-related faults; acquired through active vehicle monitoring and charging message BST / CST in the national standard "GB / T27930";

[0050] Charging compatibility data includes: the current charging matching status, such as voltage matching status, matching status between the heating component load characteristics and the charging pile output characteristics during the heating phase, and communication matching status; charging reliability data includes: abnormal termination of the charging pile, charging pile voltage, current control output accuracy, response time, and the current charging communication quality, as well as whether there is loss or reconnection in message transmission and reception;

[0051] The charging pile level includes: grading the charging piles based on the established charging pile data. For example, they are divided into three levels: excellent, good, and poor, and specific reliability issues are marked in the attributes of the specific charging piles, where: excellent means strong charging output capacity, few abnormal terminations, and high reliability; good means average charging output capacity, few abnormal terminations, and high reliability; poor means frequent abnormal terminations or low reliability. If a vehicle has a quality problem after a certain charging process and the cause is found to be abnormal charging pile output, this data will be manually entered into the big data system and the charging station will be set to poor. The charging pile level has the following update mechanism: it is updated in real time based on the data uploaded by the vehicle. If a poor charging pile has no reliability issues for a certain period of time, such as one month, it will be adjusted out of the poor level. After the charging pile is repaired, it will be adjusted out of the poor level. Based on the charging pile market research and public data, it will be entered into the system model.

[0052] The charging station model at least includes: the number of charging piles in the charging station, the weighted model of each charging pile, the charging load in each time period and the charging fee standard, among which: the number of charging piles in the charging station is calculated comprehensively through the charging pile number, the maximum number of vehicles charging at the same time and other data; the weighted model of each charging pile is based on the score of each charging pile / comprehensively reflects the overall score of the charging station; the charging load in each time period is drawn up according to the waiting time for vehicle charging in different time periods, and the charging station load table is used to help users avoid busy charging stations; the charging fee standard is the electricity price, site fee, service fee, etc. of the charging pile in different time periods: it can be automatically obtained or manually entered through the mobile terminal charging APP.

[0053] Mobile terminals include mobile phones and network terminals. Mobile terminals can also communicate with other vehicles or network terminals. Charging station network maps can be imported into traditional map apps such as Baidu and AutoNavi. Network terminals include laptops, tablets, and other terminal devices, which can also communicate with other vehicles or mobile terminals.

[0054] Example 2

[0055] Figure 2 This is a flow chart showing a vehicle-cloud collaborative intelligent charging control method for an electric vehicle according to an exemplary embodiment. The method is used in a cloud server and includes the following steps:

[0056] Step 101: When receiving user vehicle charging intention request data, obtain user vehicle charging intention data in the user vehicle charging intention request data.

[0057] The user's vehicle charging intention data includes at least: current battery status, current geographic location and current time.

[0058] Step 102: Determine the optimal charging location and battery charging management strategy data based on the user's vehicle charging intention data and the charging station network map. The specific contents are as follows:

[0059] Determine the charging pile classification level, current charging station busy status, estimated charging queue time, estimated charging completion time, and the distance between the charging pile location and commonly used charging locations based on the current battery status, current geographic location, current time, and charging station network map;

[0060] Determine the optimal charging location based on the charging pile classification level, the current busy status of the charging station, the estimated charging queue time, the estimated charging completion time, and the distance between the charging pile location and commonly used charging locations;

[0061] The battery charging management strategy data is determined based on the charging pile classification level. For example, when a user starts charging at a "poor" charging pile, the battery charging management strategy data limits the maximum charging current and the upper limit of the charging capacity to reduce safety risks such as overvoltage and overcurrent caused by the charging pile being out of control; and the user is prompted. For charging piles marked as output overcurrent, the life of the high-voltage charging relay, i.e., the load disconnection capability, is evaluated. If the current load disconnection capability is insufficient, charging with the charging pile in this level is prohibited to prevent the relay from being unable to disconnect the charging circuit when the charging pile outputs an uncontrolled overcurrent.

[0062] For charging piles marked as delayed in charging output control, the charging request current is reduced in advance to prevent the charging pile from responding slowly and triggering the overcurrent alarm of the vehicle battery management system.

[0063] The present invention does not require a large amount of research manpower and time. It can establish a real and reliable charging station network map based only on the end user's car usage experience and charging data, thereby providing users with the best charging pile selection plan, improving the user experience, and at the same time performing protection control according to the safety level of the charging pile, thereby improving charging safety.

[0064] Example 3

[0065] Figure 3 This is a schematic block diagram of a vehicle-cloud collaborative intelligent charging control device for an electric vehicle according to an exemplary embodiment, including:

[0066] An acquisition module 210 is configured to, when receiving a user vehicle charging intention request data, acquire the user vehicle charging intention data in the user vehicle charging intention request data;

[0067] The judgment module 220 is used to determine the optimal charging location and battery charging management strategy data based on the user's vehicle charging intention data and the charging station network map.

[0068] Example 4

[0069] A schematic diagram of the structure of a cloud server provided in an embodiment of the present application is shown in FIG. Figure 4 As shown, the cloud server includes a processor 301, a memory 302, an input device 303 and an output device 304; the number of processors 301 in the cloud server can be one or more. Figure 4 In the example, a processor 301 is used; the processor 301, memory 302, input device 303 and output device 304 in the cloud server can be connected by a bus or other means. Figure 4 The bus connection is taken as an example.

[0070] The memory 302 is a computer-readable storage medium that can be used to store software programs, computer executable programs, and modules, such as the embodiment of the present application. Figure 1 The processor 301 executes the software programs, instructions, and modules stored in the memory 302 to execute various functional applications and data processing of the cloud server, thereby implementing the aforementioned vehicle-cloud collaborative intelligent charging control method for electric vehicles.

[0071] The memory 302 may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function; the data storage area may store data created based on the use of the cloud server, etc. Furthermore, the memory 302 may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 302 may further include a memory remotely located relative to the processor 301, and these remote memories may be connected to the device / terminal / server via a network. Examples of the aforementioned networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0072] The input device 303 may be used to receive input digital or character information and generate key signal input related to user settings and function control of the device. The output device 304 may include a display device such as a display screen.

[0073] Example 5

[0074] The present application also provides a storage medium containing computer-executable instructions. When executed by a computer processor, the computer-executable instructions are used to execute a vehicle-cloud collaborative intelligent charging control method for electric vehicles. The method includes:

[0075] When receiving user vehicle charging intention request data, obtaining user vehicle charging intention data in the user vehicle charging intention request data;

[0076] The optimal charging location and battery charging management strategy data are determined based on the user vehicle charging intention data and the charging station network map.

[0077] Of course, the storage medium containing computer-executable instructions provided in an embodiment of the present application, whose computer-executable instructions are not limited to the method operations described above, can also execute a vehicle-cloud collaborative electric vehicle intelligent charging control method provided in any embodiment of the present application.

[0078] Through the above description of the implementation methods, those skilled in the art can clearly understand that the present application can be implemented with the help of software and necessary general-purpose hardware, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a computer's floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0079] It is worth noting that in the embodiment of the above-mentioned data storage device, the various units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application.

[0080] Example 6

[0081] An embodiment of the present application also provides an application product. When the application product is running on a terminal, the terminal executes a vehicle-cloud collaborative intelligent charging control method for electric vehicles as described in the first aspect of the embodiment of the present invention.

[0082] Although the embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the specification and exemplary embodiments. They can be applied to a variety of fields suitable for the present invention. Further modifications will be readily apparent to those skilled in the art. Therefore, the present invention is not limited to the specific details and illustrations shown and described herein without departing from the general concept defined by the claims and their equivalents.

Claims

1. A vehicle-cloud collaborative intelligent charging control system for electric vehicles, characterized in that: include: Electric vehicle intelligent charging management and control cloud platform, digital twin platform, Internet service gateway, Internet of Vehicles gateway, mobile terminal and vehicle terminal, including: The electric vehicle intelligent charging management and control cloud platform is used to receive charging pile model data and charging station model data to establish a charging station network map, and is also used to receive user vehicle charging intention request data and determine the optimal charging location and battery charging management strategy data based on the charging station network map and send them to the Internet service gateway; The digital twin platform is used to receive real-time data transmitted by the Internet of Vehicles gateway, map the actual vehicle terminal from the physical space to the virtual space to form a virtual vehicle terminal, and complete the two-way data transmission between the electric vehicle intelligent charging management and control cloud platform through the Internet service gateway, and is also used to send the optimal charging location and battery charging management strategy data to the Internet of Vehicles gateway; The Internet service gateway is used to realize the service packaging and information interaction of the electric vehicle intelligent charging management and control cloud platform and the digital twin platform; The IoV gateway is used to obtain charging and battery-related data from the vehicle terminal and transmit the obtained data to the digital twin platform. It is also used to receive the optimal charging location and battery charging management strategy data from the digital twin platform and transmit it to the corresponding device through the data interface; The vehicle terminal is used to obtain charging and battery related data and transmit the obtained data to the Internet of Vehicles gateway; The mobile terminal is used to obtain the owner's electric vehicle charging data through the charging APP, and transmit the obtained data to the Internet of Vehicles gateway. The Internet of Vehicles gateway is also used to obtain the owner's electric vehicle charging data in the mobile terminal, and transmit the obtained data to the digital twin platform. The digital twin platform is also used to receive the owner's electric vehicle charging data transmitted by the Internet of Vehicles gateway and transmit it to the electric vehicle intelligent charging management and control cloud platform through the Internet service gateway. The electric vehicle intelligent charging management and control cloud platform is also used to determine the charging pile data and charging station data according to the owner's electric vehicle charging data to optimize the charging station network map.

2. The vehicle-cloud collaborative electric vehicle intelligent charging control system according to claim 1 is characterized in that: The Internet of Vehicles gateway is also used for identity recognition and verification of vehicle terminals.

3. The vehicle-cloud collaborative electric vehicle intelligent charging control system according to claim 2 is characterized in that: The vehicle terminal includes at least: a charging pile model, a display module, a charging station model, a battery management system and a charging control module. The charging station model includes at least: the number of charging piles in the charging station, the weighting of each charging pile model, the charging load in each time period and the charging fee standard. Therefore, the charging pile model includes at least: basic data of the charging pile, charging pile safety data, charging matching data, charging reliability data and charging pile level.

4. A vehicle-cloud collaborative electric vehicle intelligent charging control method, applied to the vehicle-cloud collaborative electric vehicle intelligent charging control system according to any one of claims 1-3, characterized in that: include: When receiving user vehicle charging intention request data, obtaining user vehicle charging intention data in the user vehicle charging intention request data; The optimal charging location and battery charging management strategy data are determined based on the user vehicle charging intention data and the charging station network map.

5. The vehicle-cloud collaborative intelligent charging control method for electric vehicles according to claim 4 is characterized in that: The user's vehicle charging intention data includes at least: current battery status, current geographic location and current time.

6. The vehicle-cloud collaborative intelligent charging control method for electric vehicles according to claim 5 is characterized in that: The determining of the optimal charging location and battery charging management strategy data based on the user's vehicle charging intention data and the charging station network map includes: Determine the charging pile classification level, the current charging station busy status, the estimated charging queue time, the estimated charging completion time, and the distance between the charging pile location and commonly used charging locations based on the current battery status, current geographic location, current time, and charging station network map; Determine the optimal charging location based on the charging pile classification level, the current busy status of the charging station, the estimated charging queue time, the estimated charging completion time, and the distance between the charging pile location and commonly used charging locations; The battery charging management strategy data is determined according to the charging pile classification level.

7. A vehicle-cloud collaborative electric vehicle intelligent charging control device, applied to the vehicle-cloud collaborative electric vehicle intelligent charging control system according to any one of claims 1 to 3, characterized in that: include: an acquisition module, configured to, upon receiving a user vehicle charging intention request data, acquire the user vehicle charging intention data in the user vehicle charging intention request data; The judgment module is used to determine the optimal charging location and battery charging management strategy data based on the user's vehicle charging intention data and the charging station network map.

8. A cloud server comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, it implements the vehicle-cloud collaborative intelligent charging control method for electric vehicles as described in any one of claims 4 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the vehicle-cloud collaborative intelligent charging control method for electric vehicles as described in any one of claims 4 to 6.

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