Vehicle charging intelligent control method and device based on cloud and medium

Receive vehicle data through the cloud system, judge and manage the temporary charging needs of battery-swap vehicles, solve the problem that vehicles cannot replace battery under extreme conditions, realize intelligent off-site charging management and reasonable charges, and protect battery life and operator interests.

CN120270066APending Publication Date: 2025-07-08AULTON NEW ENERGY AUTOMOBILE TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202410860706.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2023-12-29
Filing Date
2024-06-28
Publication Date
2025-07-08

AI Technical Summary

Technical Problem

In the field of battery swap operation, when vehicles cannot replace batteries in time under extreme conditions, how to effectively manage and support users' temporary charging needs off-site, protect the battery life and protect the interests of operators.

Method used

Receive temporary charging requests of vehicles through the cloud system, obtain vehicle data, and judge whether the temporary charging needs are met based on user type, vehicle SOC, model, path and other information, and determine the charging time and amount, and plan the path to the nearest battery swap station.

Benefits of technology

It realizes intelligent off-site charging management of battery swap vehicles, protects battery life, charges reasonable fees, ensures the interests of operators, and improves charging service efficiency.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a cloud-based vehicle charging intelligent control method and device, and a medium, and belongs to the technical field of battery monitoring control. The method comprises the steps of receiving a temporary charging request instruction of a to-be-charged vehicle; acquiring vehicle data of a to-be-charged vehicle; wherein the vehicle data comprises at least one of a vehicle model, a vehicle position, a user type, a vehicle path, charging times and a vehicle SOC; determining whether the vehicle meets a preset temporary charging demand based on the vehicle data; when the to-be-charged vehicle meets the temporary charging requirement, the temporary charging duration of the to-be-charged vehicle is determined based on the vehicle SOC of the to-be-charged vehicle; and determining the charging amount of the to-be-charged vehicle based on the change condition of the vehicle SOC. According to the method, the charging of the battery changing vehicle outside the station can be realized and managed.
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Description

[0001] This application claims priority based on the patent application with the application number 202311866312.6 and the invention title "An Intelligent Control Method, Device and Medium for Vehicle Charging Based on the Cloud" filed on December 29, 2023. This application incorporates the entire text of the above patent application by reference. Technical Field

[0002] This application relates to the technical field of battery monitoring and control, and particularly to an intelligent control method, device and medium for vehicle charging based on the cloud. Background Art

[0003] In the field of battery swapping operations, due to the existence of the vehicle-battery separation model, battery assets are an important asset for operators. Unrestricted charging of the battery by battery swapping drivers outside the station will inevitably consume the precious battery service life. However, under certain extreme conditions, such as long-distance travel, depleted batteries, emergencies, etc., battery swapping drivers have an urgent need for temporary charging.

[0004] Therefore, between the interests of battery swapping manufacturers and user services, a way is needed to support and manage the off-station charging behavior of users. Summary of the Invention

[0005] Embodiments of this application provide an intelligent control method, device and medium for vehicle charging based on the cloud to solve the following technical problem: how to implement and manage off-station charging of battery swapping vehicles.

[0006] In a first aspect, embodiments of this application provide an intelligent control method for vehicle charging based on the cloud, and the method includes: receiving a request for temporary charging instruction of a vehicle to be charged; obtaining vehicle data of the vehicle to be charged, where the vehicle data includes at least one of vehicle model, vehicle location, user type, vehicle path, number of charging times, and vehicle SOC; determining whether the vehicle meets a preset temporary charging requirement based on the vehicle data; when the vehicle to be charged meets the temporary charging requirement, determining the temporary charging duration of the vehicle to be charged based on the vehicle SOC of the vehicle to be charged; and determining the charging amount of the vehicle to be charged based on the change status of the vehicle SOC.

[0007] In an implementation manner of this application, determining whether the vehicle meets a preset temporary charging requirement based on the vehicle data specifically includes: comparing the preset SOC threshold with the user type and vehicle SOC to determine whether the vehicle to be charged meets the temporary charging requirement; and / or determining whether the vehicle to be charged meets the temporary charging requirement based on the vehicle SOC, vehicle model, and a preset vehicle power consumption database; and / or determining whether the vehicle to be charged meets the temporary charging requirement based on the number of charging times and a preset charging threshold.

[0008] In an implementation manner of the present application, the SOC threshold preset based on the user type and the vehicle SOC is used to determine whether the vehicle to be charged meets the temporary charging requirement. Specifically, it includes: obtaining the user type uploaded by the vehicle to be charged; wherein, the user type includes emergency vehicle use and regular vehicle use; if the user type is emergency vehicle use, the vehicle to be charged meets the temporary charging requirement; if the user type is regular vehicle use, the vehicle SOC is compared with the SOC threshold to determine whether the vehicle to be charged meets the temporary charging requirement.

[0009] In an implementation manner of the present application, the vehicle SOC, vehicle model, and preset vehicle power consumption database are used to determine whether the vehicle to be charged meets the temporary charging requirement. Specifically, it includes: determining the power consumption rate of the vehicle based on the vehicle SOC, vehicle model, and preset vehicle power consumption database; parsing the request for temporary charging instruction to obtain the driving mileage of the vehicle; determining the theoretical mileage of the vehicle based on the vehicle SOC and power consumption rate; processing the driving mileage and theoretical mileage based on the preset correction coefficient to determine whether the vehicle meets the temporary charging requirement.

[0010] In an implementation manner of the present application, determining the power consumption rate of the vehicle based on the vehicle SOC, vehicle model, and preset vehicle power consumption database specifically includes: judging the power consumption rate of the vehicle to be charged based on the vehicle model and preset vehicle power consumption database; wherein, the vehicle power consumption database is a database storing vehicle models and power consumption rates; when the vehicle model exists in the preset vehicle power consumption database, determining the power consumption rate of the vehicle to be charged based on the vehicle power consumption database; when the vehicle model does not exist in the preset vehicle power consumption database, determining the power consumption rate of the vehicle to be charged based on the SOC change rate and vehicle path of the vehicle to be charged.

[0011] In an implementation manner of the present application, when the vehicle to be charged meets the temporary charging requirement, the temporary charging duration of the vehicle to be charged is determined based on the vehicle SOC of the vehicle to be charged. Specifically, it includes: determining the current battery level of the vehicle to be charged based on the vehicle SOC; determining the charging power based on the current battery level; parsing the request for temporary charging instruction to judge whether it includes the charging pile power information; if so, determining the temporary charging duration based on the charging pile power information and the charging power; if not, determining the temporary charging duration based on the charging power and the preset temporary charging table.

[0012] In an implementation manner of the present application, the charging amount of the vehicle to be charged is determined based on the change status of the vehicle SOC. Specifically, it includes determining the initial battery level of the vehicle SOC based on the sending time of the vehicle charging request instruction; retrieving the subsequent SOC change process of the vehicle to be charged after the initial battery level is obtained to determine the final battery level of the vehicle to be charged; processing the temporary charging duration, initial battery level, and final battery level based on the preset charging coefficient to determine the charging amount.

[0013] In an implementation manner of the present application, the method further includes: when the vehicle to be charged does not meet the temporary charging condition, determining whether the vehicle to be charged passes by a swapping station based on the vehicle data and the swapping station map, and selecting the swapping station with the minimum distance from the vehicle to be charged among the swapping stations passed by as the target swapping station; when the vehicle to be charged passes by a swapping station, performing path planning for the vehicle to be charged based on the vehicle data, the theoretical mileage, and the target swapping station.

[0014] In an implementation manner of the present application, when the vehicle to be charged passes by a swapping station, performing path planning for the vehicle to be charged based on the vehicle data, the theoretical mileage, and the target swapping station specifically includes: determining the passing path based on the vehicle position and the target swapping station; judging whether the vehicle to be charged can reach the target swapping station based on the theoretical mileage and the passing path; when the vehicle to be charged can reach the target swapping station, the vehicle to be charged maintains its vehicle path; when the vehicle to be charged cannot reach the target swapping station, the path planning of the vehicle to be charged is to go to the swapping station with the shortest distance.

[0015] In a second aspect, an embodiment of the present application further provides a cloud-based intelligent vehicle charging control device, including: a receiving module, configured to receive a request for temporary charging instruction of the vehicle to be charged; an obtaining module, configured to obtain the vehicle data of the vehicle to be charged; where the vehicle data includes at least one of vehicle model, vehicle position, user type, vehicle path, number of charging times, and vehicle SOC; a judging module, configured to determine whether the vehicle meets the preset temporary charging requirement based on the vehicle data; a duration module, configured to, when the vehicle to be charged meets the temporary charging requirement, determine the temporary charging duration of the vehicle to be charged based on the vehicle SOC of the vehicle to be charged; an amount module, configured to determine the charging amount of the vehicle to be charged based on the change condition of the vehicle SOC.

[0016] In a third aspect, an embodiment of the present application further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it implements the cloud-based intelligent vehicle charging control method as described in any one of the above.

[0017] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the cloud-based intelligent vehicle charging control method as described in any one of the above.

[0018] The cloud-based intelligent vehicle charging control method, device, and medium provided by the embodiments of the present application obtain the temporary charging instruction of the vehicle to be charged, and determine whether the vehicle can be temporarily charged by comparing the various data of the vehicle to be charged, and give the temporary charging duration and charging amount according to whether it can be temporarily charged, so as to realize and manage off-station charging of swapping vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings described herein are used to provide a further understanding of the present application and form a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation to the present application. In the drawings:

[0020] Figure 1 It is a flowchart of an intelligent vehicle charging control method based on the cloud provided by an embodiment of the present application;

[0021] Figure 2 It is a schematic diagram of the internal structure of an intelligent vehicle charging control device based on the cloud provided by an embodiment of the present application. Detailed implementation manners

[0022] To make the objectives, technical solutions, and advantages of the present application clearer, the technical solutions of the present application will be clearly and completely described below in conjunction with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts shall fall within the protection scope of the present application.

[0023] The embodiments of the present application provide an intelligent vehicle charging control method, device, and medium based on the cloud to solve the following technical problem: how to protect the battery safety of a charging vehicle and perform monitoring.

[0024] The technical solutions proposed in the embodiments of the present application will be described in detail below with reference to the drawings.

[0025] Figure 1 It is an intelligent vehicle charging control flowchart based on the cloud provided by an embodiment of the present application. As Figure 1 shown, an intelligent vehicle charging control method based on the cloud provided by an embodiment of the present application specifically includes the following steps:

[0026] Step 1: Receive a request for a temporary charging instruction from the vehicle to be charged.

[0027] With the continuous development of the electric vehicle market, the construction of charging facilities and charging technologies are changing with each passing day. In this process, battery swapping station enterprises are also constantly optimizing charging services to meet the charging needs of the majority of electric vehicle owners. For electric vehicles using battery swapping technology, if the battery is charged without restraint by the driver or passenger, the service life of the battery will be reduced, and the interests of the battery swapping manufacturers will be damaged. However, there are special situations where electric vehicles using battery swapping technology cannot find a battery swapping station for battery swapping. At this time, a temporary charging instruction can be submitted to the battery swapping manufacturer.

[0028] This temporary charging instruction includes information such as the current battery level of the vehicle and the reason for battery swapping.

[0029] For example, there is a vehicle. The vehicle owner observes that the remaining battery power of the vehicle is 20%. Then, the vehicle owner requests a temporary charging instruction to the manufacturer of the battery swapping station through an APP or the like.

[0030] That is, the manufacturer of the battery swapping station receives the request for the temporary charging instruction.

[0031] Step 2: Obtain the vehicle data of the vehicle to be charged; among them, the vehicle data includes at least one of vehicle model, vehicle location, user type, vehicle route, number of charging times, and vehicle SOC.

[0032] The vehicle model, that is, what type of vehicle. For example, Vehicle A is Model C of Brand B.

[0033] The vehicle location, that is, the location where the vehicle requests temporary charging.

[0034] The user type, whether there is an emergency for the vehicle to be charged. This data is selected and uploaded by the user with relevant vouchers.

[0035] The vehicle route, the original route of the vehicle to be charged, that is, the route for the vehicle to be charged to go to a preset destination.

[0036] The number of charging times, the number of temporary charging times of the vehicle to be charged within a preset time.

[0037] The vehicle SOC, the power change status of the vehicle to be charged.

[0038] Step 3: Determine whether the vehicle meets the preset temporary charging requirements based on the vehicle data and the battery swapping station map.

[0039] Step 3 includes three confirmation methods: Step 31 and Step 33.

[0040] Step 31: Compare the preset SOC threshold based on the user type and the vehicle SOC to determine whether the vehicle to be charged meets the temporary charging requirements.

[0041] Obtain the user type uploaded by the vehicle to be charged. Among them, the user type includes emergency vehicle use and regular vehicle use. If the user type is emergency vehicle use, then the vehicle to be charged meets the temporary charging requirements. If the user type is regular vehicle use, then compare the vehicle SOC with the SOC threshold to determine whether the vehicle to be charged meets the temporary charging requirements.

[0042] Users with temporary charging needs are mainly divided into two categories: emergency vehicle use and regular vehicle use.

[0043] First of all, it is necessary to clarify the difference between emergency vehicle use and regular vehicle use.

[0044] Emergency vehicle usage refers to users who need to use electric vehicles in emergency situations, such as medical emergencies, rescue operations, etc. When such electric vehicle users need to charge temporarily, they do not apply the other judgment criteria and can directly meet the temporary charging needs.

[0045] Regular vehicle usage refers to users who use electric vehicles in daily commuting, business trips and other scenarios. The charging requirements are relatively flexible, and they can wait for a long time or contact the manufacturer for maintenance.

[0046] Step 32: Determine whether the vehicle to be charged meets the temporary charging requirement based on the vehicle's SOC, vehicle model, and a preset vehicle power consumption database.

[0047] First, determine the power consumption rate of the vehicle based on the vehicle's SOC, vehicle model, and a preset vehicle power consumption database.

[0048] How to determine the power consumption rate of the vehicle is described in detail in A1 to A3.

[0049] A1: Judge the power consumption rate of the vehicle to be charged based on the vehicle model and a preset vehicle power consumption database.

[0050] Among them, the vehicle power consumption database is a database storing vehicle models and power consumption rates.

[0051] The vehicle power consumption database is a database storing various vehicle models and their corresponding power consumption rates. A2: When the vehicle model exists in the preset vehicle power consumption database, determine the power consumption rate of the vehicle to be charged based on the vehicle power consumption database.

[0052] In practical applications, when the vehicle model of the vehicle to be charged exists in the preset vehicle power consumption database, the corresponding power consumption rate can be directly found in the database based on this vehicle model.

[0053] This method can make full use of the existing data and improve the calculation efficiency and accuracy.

[0054] A3: When the vehicle model does not exist in the preset vehicle power consumption database, determine the power consumption rate of the vehicle to be charged based on the SOC change rate and vehicle path of the vehicle to be charged.

[0055] However, in some cases, the vehicle model of the vehicle to be charged may not exist in the preset vehicle power consumption database. In this case, other methods need to be used to determine the power consumption rate of the vehicle to be charged. At this time, the SOC change rate and vehicle path of the vehicle to be charged can be used for calculation.

[0056] The SOC change rate reflects the charging or discharging rate of the battery over a period of time, while the vehicle path represents the energy consumption demand of the vehicle during driving. By analyzing these two factors, the power consumption rate of the vehicle to be charged can be estimated more accurately.

[0057] Further, parse the request for temporary charging instruction to obtain the driving mileage of the vehicle.

[0058] By parsing the temporary charging instruction, the driving mileage of the vehicle can be obtained.

[0059] Further, based on the vehicle's SOC and power consumption rate, determine the theoretical mileage of the vehicle.

[0060] Further, process the driving mileage and theoretical mileage based on a preset correction coefficient to determine whether the vehicle meets the temporary charging requirement.

[0061] By comparing the driving mileage and theoretical itinerary, it is possible to determine to a certain extent whether the vehicle can perform temporary charging.

[0062] Step 33: Based on the number of charging times and a preset charging threshold, determine whether the vehicle to be charged meets the temporary charging requirement.

[0063] The preset charging threshold is the upper limit of the number of temporary charging times within a preset time. If the number of charging times of the vehicle to be charged is greater than or equal to the preset charging threshold, it does not meet the temporary charging requirement.

[0064] Step 4: When the vehicle to be charged meets the temporary charging requirement, determine the temporary charging duration of the vehicle to be charged based on the vehicle's SOC of the vehicle to be charged..

[0065] When the vehicle to be charged meets the temporary charging requirement, it means that the vehicle to be charged has insufficient power or needs charging. Then, the temporary charging duration of the vehicle can be determined according to Steps 41 to 45.

[0066] Step 41: Based on the vehicle's SOC, determine the current power of the vehicle to be charged.

[0067] After obtaining the vehicle's SOC, the current power of the vehicle to be charged can be determined according to the vehicle's SOC.

[0068] Step 42: Based on the current power, determine the charging power to be charged.

[0069] The charging power to be charged in this step is the power required to fully charge the battery. The required charging power can be determined according to the current power.

[0070] Step 43: Parse the request for temporary charging instruction and determine whether it contains the charging pile power information.

[0071] For vehicles that need to perform temporary charging, due to the subjective judgment of the driver and passengers, as well as the differences in charging piles in different cities and communities, resulting in different charging powers, it is necessary to determine whether the temporary charging instruction contains the charging pile power information.

[0072] Step 44: If so, determine the temporary charging duration based on the charging pile power information and the charging power.

[0073] When there is charging pile power information, the temporary charging duration can be calculated based on the charging pile power information and the charging power.

[0074] Step 45: If not, determine the temporary charging duration based on the charging power and a preset temporary charging table.

[0075] When there is no charging pile power information, a charging pile power is assumed through a preset temporary charging table. For example, the temporary charging table contains information such as cities and charging pile power information. This temporary charging table is constructed by researching the comprehensive power of charging piles in different cities.

[0076] Step 5: Determine the charging amount for the vehicle to be charged based on the change in the vehicle's SOC. After off-station charging by the user, a charging fee needs to be collected, and specifically, the charging amount can be determined according to the charged power.

[0077] Step 51: Determine the initial power based on the sending time of the vehicle charging request command and the vehicle's SOC.

[0078] When the vehicle charging request command is sent, the power of the vehicle at that time is the initial power of the vehicle.

[0079] Step 52: Retrieve the subsequent change process of the SOC of the vehicle to be charged after the initial power is retrieved to determine the final power of the vehicle to be charged.

[0080] Based on the change process of the vehicle's SOC after the initial power, the final power can be determined.

[0081] In a specific example, the initial power of the vehicle is 60, and the subsequent power of the vehicle drops to 10, then the final power of the battery is 10.

[0082] Step 53: Process the temporary charging duration, initial power, and final power based on a preset charging coefficient to determine the charging amount.

[0083] After determining the initial power and the final power, the usage level of the driver and passengers can be determined. It can be understood that the charging amount will vary according to different usage levels. After determining the temporary charging duration, the loss amounts for different loss levels are different. By referring to the initial power and the final power based on the temporary charging duration, the charging amount can be determined.

[0084] Referring to Step 1, for electric vehicles using battery swapping technology, if the battery is charged by the driver and passengers without restraint, the service life of the battery will be reduced, and the interests of the battery swapping manufacturer will be damaged.

[0085] Therefore, for vehicles with temporary charging, since the service life of the battery is related to the usage duration and the number of charging times, it is necessary to determine the loss amount according to the battery loss condition to protect the interests of the swap station merchants to a certain extent.

[0086] Determine the initial power based on the sending time of the vehicle charging request command and the vehicle SOC.

[0087] When the vehicle charging request command is sent, the power of the vehicle is the initial power of the vehicle.

[0088] Retrieve the subsequent SOC change process of the vehicle to be charged after obtaining the initial power to determine the battery loss of the vehicle to be charged.

[0089] According to the vehicle SOC change process of the vehicle after the initial power, the battery loss can be determined.

[0090] In a specific example, the initial power of the vehicle is 20. Subsequently, the power of the vehicle drops to 10 and then rises to 60. Then the battery loss is 20 - 10 + 60 - 20, and the battery loss is 50.

[0091] Determine the loss amount based on the degree of battery loss.

[0092] After determining the battery loss, the loss amount can be determined according to the battery loss. It can be understood that the loss amounts for different loss degrees are different, and the loss amounts corresponding to specific loss degrees are set according to the actual situation and will not be elaborated here.

[0093] In addition to the above method, the embodiments of the present application further include:

[0094] First, when the vehicle to be charged does not meet the condition of temporary charging, based on the vehicle data and the swap station map, determine whether the vehicle to be charged passes by a swap station, and select the swap station with the smallest distance from the vehicle to be charged among the passing swap stations as the target swap station.

[0095] Whether the vehicle passes by a swap station should consider a preset range centered on the vehicle, a range determined by a radius of a preset distance. For example, if the preset radius is 1 km, then centered on the vehicle, the center moves along the vehicle path, and the swap stations within 1 km during the movement can be identified and determined as passing swap stations.

[0096] If the vehicle position is A and the end point of the vehicle path is C, and there is a passing swap station B between the vehicle paths, then the passing path of the vehicle is AB, and the specific path planning can be calculated by existing path planning algorithms.

[0097] Furthermore, when the vehicle to be charged passes by a swap station, perform path planning for the vehicle to be charged based on the vehicle data, the theoretical mileage, and the target swap station.

[0098] Specifically, it will be described in detail by steps B1 to B4.

[0099] B1. Determine the passing path based on the vehicle position and the target swapping station.

[0100] Referring to the above example, it will not be elaborated here.

[0101] B2. Judge whether the vehicle to be charged can reach the target swapping station based on the theoretical mileage and the passing path.

[0102] The theoretical mileage is the distance that the vehicle can travel with the remaining battery power. By comparing the theoretical mileage and the passing path, it can be judged whether the vehicle can reach the target swapping station.

[0103] B3. When the vehicle to be charged can reach the target swapping station, the vehicle to be charged maintains its vehicle path.

[0104] Referring to B2, if it can reach, the vehicle can go to the target swapping station for battery swapping.

[0105] B4. When the vehicle to be charged cannot reach the target swapping station, the path planning of the vehicle to be charged is to go to the swapping station with the shortest distance.

[0106] The above is the method embodiment proposed by this application. Based on the same inventive concept, the embodiment of this application also provides a cloud-based intelligent vehicle charging control device.

[0107] The device includes a receiving module for receiving a request for temporary charging instruction of the vehicle to be charged; an obtaining module for obtaining vehicle data of the vehicle to be charged; wherein the vehicle data includes at least one of vehicle model, vehicle position, user type, vehicle path, number of charging times, and vehicle SOC; a judging module for determining whether the vehicle meets the preset temporary charging requirement based on the vehicle data; a duration module for determining the temporary charging duration of the vehicle to be charged based on the vehicle SOC of the vehicle to be charged when the vehicle to be charged meets the temporary charging requirement; and an amount module for determining the charging amount of the vehicle to be charged based on the change condition of the vehicle SOC.

[0108] The above is the method embodiment proposed by this application. Based on the same inventive concept, the embodiment of this application also provides a cloud-based intelligent vehicle charging control electronic device, and its structure is as Figure 2 shown.

[0109] Figure 2 It is a schematic internal structure diagram of a cloud-based intelligent vehicle charging control device provided by an embodiment of this application. As Figure 2 shown, the device includes:

[0110] At least one processor 201;

[0111] and a memory 202 communicatively connected to at least one processor;

[0112] Wherein, the memory 202 stores instructions executable by at least one processor, and the instructions are executed by at least one processor 201 so that at least one processor 201 can:

[0113] Receive a request for temporary charging instruction of the vehicle to be charged; obtain vehicle data of the vehicle to be charged; wherein, the vehicle data includes at least one of vehicle model, vehicle location, user type, vehicle path, number of charging times, and vehicle SOC; determine whether the vehicle meets a preset temporary charging requirement based on the vehicle data; when the vehicle to be charged meets the temporary charging requirement, determine the temporary charging duration of the vehicle to be charged based on the vehicle SOC of the vehicle to be charged; determine the charging amount of the vehicle to be charged based on the change condition of the vehicle SOC.

[0114] In other embodiments of the present application, when the instructions are executed by at least one processor 201, the steps of the intelligent control method for vehicle charging based on the cloud in any of the above embodiments can also be implemented.

[0115] Some embodiments of the present application provide a Figure 1 non-volatile computer storage medium for intelligent control of vehicle charging based on the cloud, storing computer-executable instructions, and the computer-executable instructions are set as:

[0116] Receive a request for temporary charging instruction of the vehicle to be charged; obtain vehicle data of the vehicle to be charged; wherein, the vehicle data includes at least one of vehicle model, vehicle location, user type, vehicle path, number of charging times, and vehicle SOC; determine whether the vehicle meets a preset temporary charging requirement based on the vehicle data; when the vehicle to be charged meets the temporary charging requirement, determine the temporary charging duration of the vehicle to be charged based on the vehicle SOC of the vehicle to be charged; determine the charging amount of the vehicle to be charged based on the change condition of the vehicle SOC.

[0117] In other embodiments of the present application, the executable instructions can also implement the steps of the intelligent control method for vehicle charging based on the cloud in any of the above embodiments.

[0118] Each embodiment in the present application is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and the key points of each embodiment are the differences from other embodiments. In particular, for the embodiments of the Internet of Things devices and media, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0119] The system, medium, and method provided by the embodiments of the present application are in one-to-one correspondence. Therefore, the system and the medium also have beneficial technical effects similar to those of the corresponding method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the system and the medium will not be elaborated here.

[0120] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0121] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0122] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device implements the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0123] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0124] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and a memory.

[0125] The memory may include non - permanent memory in the form of computer - readable media, random access memory (RAM) and / or non - volatile memory such as read - only memory (ROM) or flash RAM. The memory is an example of computer - readable media.

[0126] Computer - readable media includes permanent and non - permanent, removable and non - removable media that can store information by any method or technology. The information can be computer - readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase - change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read - only memory (ROM), electrically erasable programmable read - only memory (EEPROM), flash memory or other memory technologies, compact disc read - only memory (CD - ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non - transitory media that can be used to store information that can be accessed by a computing device. As defined herein, computer - readable media does not include transitory computer - readable media such as modulated data signals and carrier waves.

[0127] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non - exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0128] The above are only embodiments of the present application and are not used to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A cloud-based intelligent vehicle charging control method, characterized in that, The method includes: Receiving a request for temporary charging instruction of the vehicle to be charged; Obtaining vehicle data of the vehicle to be charged; wherein, the vehicle data includes at least one of vehicle model, vehicle location, user type, vehicle path, number of charging times, and vehicle SOC; Determining whether the vehicle meets a preset temporary charging requirement based on the vehicle data; When the vehicle to be charged meets the temporary charging requirement, determining the temporary charging duration of the vehicle to be charged based on the vehicle SOC of the vehicle to be charged; Determining the charging amount of the vehicle to be charged based on the change condition of the vehicle SOC; 2. The intelligent control method for vehicle charging based on the cloud according to claim 1, wherein Determining whether the vehicle meets a preset temporary charging requirement based on the vehicle data, specifically including: Comparing the user type and the vehicle SOC with a preset SOC threshold to determine whether the vehicle to be charged meets the temporary charging requirement; and / or Determining whether the vehicle to be charged meets the temporary charging requirement based on the vehicle SOC, vehicle model, and a preset vehicle power consumption database; and / or Determining whether the vehicle to be charged meets the temporary charging requirement based on the number of charging times and a preset charging threshold; 3. The intelligent vehicle charging control method based on the cloud according to claim 2, wherein, Comparing the user type and the vehicle SOC with a preset SOC threshold to determine whether the vehicle to be charged meets the temporary charging requirement, specifically including: Obtaining the user type uploaded by the vehicle to be charged; wherein, the user type includes emergency vehicle use and regular vehicle use; If the user type is emergency vehicle use, then the vehicle to be charged meets the temporary charging requirement; If the user type is regular vehicle use, then comparing the vehicle SOC with the SOC threshold to determine whether the vehicle to be charged meets the temporary charging requirement; 4. The intelligent control method for vehicle charging based on the cloud according to claim 2, characterized in that it is based on Determining whether the vehicle to be charged meets the temporary charging requirement based on the vehicle SOC, vehicle model, and a preset vehicle power consumption database, specifically including: Determining the power consumption rate of the vehicle based on the vehicle SOC, vehicle model, and a preset vehicle power consumption database; Parsing the request for temporary charging instruction to obtain the driving mileage of the vehicle; Determining the theoretical mileage of the vehicle based on the vehicle SOC and the power consumption rate; Processing the driving mileage and the theoretical mileage based on a preset correction coefficient to determine whether the vehicle meets the temporary charging requirement; 5. The intelligent vehicle charging control method based on the cloud according to claim 4, characterized in that, Determining the power consumption rate of the vehicle based on the vehicle SOC, vehicle model, and a preset vehicle power consumption database, specifically including: Judging the power consumption rate of the vehicle to be charged based on the vehicle model and a preset vehicle power consumption database; wherein, the vehicle power consumption database is a database storing vehicle models and power consumption rates; When the vehicle model exists in the preset vehicle power consumption database, determining the power consumption rate of the vehicle to be charged based on the vehicle power consumption database; When the vehicle model does not exist in the preset vehicle power consumption database, determining the power consumption rate of the vehicle to be charged based on the vehicle SOC change rate and vehicle path of the vehicle to be charged; 6. The intelligent control method for vehicle charging based on the cloud according to claim 4, characterized in that When the vehicle to be charged meets the temporary charging requirement, determining the temporary charging duration of the vehicle to be charged based on the vehicle SOC of the vehicle to be charged, specifically including: Determine the current battery level of the vehicle to be charged based on the vehicle's state of charge (SOC); Determine the charging amount of the vehicle to be charged based on the current battery level; Parse the request for temporary charging instruction and determine whether it contains charging pile power information; If so, determine the temporary charging duration based on the charging pile power information and the charging amount; If not, determine the temporary charging duration based on the charging amount and a preset temporary charging table; 7. A cloud-based intelligent vehicle charging control method according to claim 1, characterized in that Determine the charging amount of the vehicle to be charged based on the change status of the vehicle's SOC, specifically including: Determine the initial battery level of the vehicle's SOC based on the sending time of the vehicle charging request instruction; Retrieve the subsequent change process of the vehicle's SOC after the initial battery level is obtained to determine the final battery level of the vehicle to be charged; Process the temporary charging duration, initial battery level, and final battery level based on a preset charging coefficient to determine the charging amount; 8. The intelligent control method for vehicle charging based on the cloud according to claim 1, wherein The method further includes: When the vehicle to be charged does not meet the temporary charging requirement, determine whether the vehicle to be charged passes by a swapping station based on the vehicle data and the swapping station map, and select the swapping station with the minimum distance from the vehicle to be charged as the target swapping station; When the vehicle to be charged passes by a swapping station, perform path planning for the vehicle to be charged based on the vehicle data, theoretical mileage, and the target swapping station; 9. The intelligent vehicle charging control method based on the cloud according to claim 8, characterized in that, When the vehicle to be charged passes by a swapping station, perform path planning for the vehicle to be charged based on the vehicle data, theoretical mileage, and the target swapping station, specifically including: Determine the passing path based on the vehicle position and the target swapping station; Judge whether the vehicle to be charged can reach the target swapping station based on the theoretical mileage and the passing path; When the vehicle to be charged can reach the target swapping station, the vehicle to be charged maintains the vehicle path; When the vehicle to be charged cannot reach the target swapping station, the path planning of the vehicle to be charged is to go to the swapping station with the shortest distance; 10. An intelligent control device for vehicle charging based on the cloud, characterized in that, The device includes: A receiving module for receiving the request for temporary charging instruction of the vehicle to be charged; An acquisition module for acquiring the vehicle data of the vehicle to be charged; wherein, the vehicle data includes at least one of vehicle model, vehicle position, user type, vehicle path, number of charging times, and vehicle SOC; A judgment module for determining whether the vehicle meets the preset temporary charging requirement based on the vehicle data; A duration module for determining the temporary charging duration of the vehicle to be charged based on the vehicle's SOC of the vehicle to be charged when the vehicle to be charged meets the temporary charging requirement; An amount module for determining the charging amount of the vehicle to be charged based on the change status of the vehicle's SOC; 11. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the cloud-based intelligent vehicle charging control method according to any one of claims 1-9; 12. 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 cloud-based intelligent vehicle charging control method according to any one of claims 1-9;