Vehicle charging control method and device
By real-time detection and optimization of thermal management parameters, the problem of mismatch between thermal management energy consumption and demand during charging has been solved, achieving more efficient charging energy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA FAW CO LTD
- Filing Date
- 2026-03-30
- Publication Date
- 2026-05-19
AI Technical Summary
In existing technologies, thermal management systems during the charging process may over-cool or fail to consider individual user needs, resulting in a mismatch between thermal management energy consumption and charging demand, which affects the overall vehicle charging efficiency.
By monitoring the power battery status in real time, combined with user needs and charging environment, charging anomalies can be identified, and thermal management parameters can be corrected and optimized to generate and distribute corrected thermal management parameters to control power battery charging.
It significantly reduces thermal management energy consumption, balances charging efficiency and energy consumption, and updates and calibrates vehicle-side parameters when charging is abnormal, thereby improving the overall vehicle charging energy efficiency.
Smart Images
Figure CN122058804A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of vehicle technology, and in particular to a vehicle charging control method and device. Background Technology
[0002] As the new energy vehicle market continues to expand and charging infrastructure becomes increasingly widespread, users are paying more and more attention to energy consumption during the charging process. Currently, thermal management is the main source of energy waste during charging. Existing technologies often suffer from over-cooling in thermal management systems or fail to consider individual user needs, leading to a mismatch between thermal management energy consumption and charging demands.
[0003] Whether in low-temperature or high-temperature environments, the thermal management energy consumption of existing solutions is usually high, which affects the charging energy efficiency of the entire vehicle. Summary of the Invention
[0004] In view of the above, embodiments of this application provide at least one vehicle charging control method and apparatus to overcome at least one of the above-mentioned defects.
[0005] In a first aspect, an exemplary embodiment of this application provides a vehicle charging control method, characterized in that the vehicle charging control method includes: In response to the vehicle entering charging mode, the charging data of the power battery in the current charging mode is obtained; Based on the charging data, identify whether the vehicle has a charging abnormality; If a charging anomaly is detected in the vehicle, the vehicle's thermal management parameters are corrected and optimized, and the corrected and optimized thermal management parameters are sent to the vehicle.
[0006] Optionally, the step of identifying whether the vehicle has a charging abnormality based on the charging data includes: Based on the charging data and preset abnormality triggering conditions, it is determined whether the vehicle has a charging abnormality.
[0007] Optionally, the step of determining whether the vehicle has a charging abnormality based on the charging data and preset abnormality triggering conditions includes: Based on the charging data, if the thermal management energy consumption of the vehicle is detected to meet the first condition, it is determined that the vehicle has an abnormal thermal management energy consumption. Based on the charging data, if it is detected that the battery temperature of the vehicle meets the second condition during the charging process, it is determined that the vehicle has an abnormal temperature control.
[0008] Optionally, the first condition includes: If the proportion of the vehicle's thermal management energy consumption to the total charging energy consumption is greater than a first threshold, or if the vehicle's single thermal management energy consumption exceeds a second threshold of the historical average under the same operating conditions, or if the vehicle's thermal management energy consumption is on an upward trend within a predetermined time period. The second condition includes: detecting that the battery temperature control of the vehicle deviates from the preset temperature range, or detecting that the highest temperature of the vehicle exceeds a predetermined temperature threshold for a predetermined period of time.
[0009] Optionally, the step of correcting and optimizing the vehicle's thermal management parameters if a charging abnormality is detected, and then sending the corrected and optimized thermal management parameters to the vehicle, includes: If a charging anomaly is detected in the vehicle, obtain the vehicle's historical charging data for N previous monitoring sessions. Based on the cause of this charging anomaly, the previous N historical charging data, and the current vehicle status data, correction and optimization are performed to generate corrected and optimized thermal management parameters. The corrected and optimized thermal management parameters are sent to the vehicle.
[0010] Optionally, the step of correcting and optimizing the vehicle's thermal management parameters if a charging abnormality is detected, and then sending the corrected and optimized thermal management parameters to the vehicle, includes: If a charging anomaly is detected in the vehicle, the charging data of the current power battery in the charging mode is input into the battery temperature change model to predict the thermal management energy consumption of the power battery during the charging process. The charging process of the power battery is evaluated by using the deviation of the battery temperature from the preset range and the thermal management energy consumption, so as to obtain the ideal thermal management parameters of the power battery. The ideal thermal management parameters are sent to the vehicle so that the vehicle can control the power battery to charge according to the updated thermal management parameters.
[0011] Optionally, the battery temperature change model is trained through the following steps: Acquire charging data for at least one vehicle during the charging process; the charging data includes at least one of the following: battery status parameters, thermal management related parameters, and environmental and facility parameters; Using the charging data as input data, an initial battery temperature change model is trained to obtain the battery temperature change model.
[0012] Optionally, the step of evaluating the battery temperature change based on the charging data to obtain updated thermal management parameters includes: The charging data of the current power battery in the charging mode is input into the battery temperature change model to predict the battery temperature change and thermal management energy consumption during the charging process.
[0013] Secondly, embodiments of this application also provide a vehicle charging control device, the control device comprising: The acquisition unit acquires the charging data of the power battery in the current charging mode in response to the vehicle entering the charging mode; The judgment unit identifies whether the vehicle has a charging abnormality based on the charging data; If the calibration unit detects a charging abnormality in the vehicle, it calibrates and optimizes the vehicle's thermal management parameters and sends the calibrated and optimized thermal management parameters to the vehicle.
[0014] Optionally, the determination unit is specifically used for: Based on the charging data and preset abnormality triggering conditions, it is determined whether the vehicle has a charging abnormality.
[0015] Optionally, the determination unit is specifically used for: Based on the charging data, if the thermal management energy consumption of the vehicle is detected to meet the first condition, it is determined that the vehicle has an abnormal thermal management energy consumption. Based on the charging data, if it is detected that the battery temperature of the vehicle meets the second condition during the charging process, it is determined that the vehicle has an abnormal temperature control.
[0016] Optionally, the first condition includes: If the proportion of the vehicle's thermal management energy consumption to the total charging energy consumption is greater than a first threshold, or if the vehicle's single thermal management energy consumption exceeds a second threshold of the historical average under the same operating conditions, or if the vehicle's thermal management energy consumption is on an upward trend within a predetermined time period. The second condition includes: detecting that the battery temperature control of the vehicle deviates from the preset temperature range, or detecting that the highest temperature of the vehicle exceeds a predetermined temperature threshold for a predetermined period of time.
[0017] Optionally, the correction unit is specifically used for: If a charging anomaly is detected in the vehicle, obtain the vehicle's historical charging data for N previous monitoring sessions. Based on the cause of this charging anomaly, the previous N historical charging data, and the current vehicle status data, correction and optimization are performed to generate corrected and optimized thermal management parameters. The corrected and optimized thermal management parameters are sent to the vehicle.
[0018] Optionally, the correction unit is specifically used for: If a charging anomaly is detected in the vehicle, the charging data of the current power battery in the charging mode is input into the battery temperature change model to predict the thermal management energy consumption of the power battery during the charging process. The charging process of the power battery is evaluated by using the deviation of the battery temperature from the preset range and the thermal management energy consumption, so as to obtain the ideal thermal management parameters of the power battery. The ideal thermal management parameters are sent to the vehicle so that the vehicle can control the power battery to charge according to the updated thermal management parameters.
[0019] Optionally, the battery temperature change model is trained through the following steps: Acquire charging data for at least one vehicle during the charging process; the charging data includes at least one of the following: battery status parameters, thermal management related parameters, and environmental and facility parameters; Using the charging data as input data, an initial battery temperature change model is trained to obtain the battery temperature change model.
[0020] Optionally, the correction unit is specifically used for: The charging data of the current power battery in the charging mode is input into the battery temperature change model to predict the battery temperature change and thermal management energy consumption during the charging process.
[0021] Thirdly, embodiments of this application also provide an electronic device, including: a processor, a storage medium, and a bus. The storage medium stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the storage medium via the bus, and the processor executes the machine-readable instructions to perform the steps of the above-described vehicle charging control method.
[0022] Fourthly, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the above-described vehicle charging control method.
[0023] The vehicle charging control method and apparatus proposed according to the exemplary embodiments of this application achieve dynamic control of charging thermal management by real-time detection of the power battery status and combining user needs, charging environment, historical charging process, etc., so as to meet different charging needs while minimizing energy consumption.
[0024] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description
[0025] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0026] Figure 1 A flowchart illustrating a vehicle charging control method provided in an exemplary embodiment of this application is shown. Figure 2 This invention provides a schematic diagram of the structure of a vehicle charging control device according to an exemplary embodiment of the present application. Figure 3 This is a schematic diagram of the structure of an electronic device provided in an exemplary embodiment of this application. Detailed Implementation
[0027] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.
[0028] The terms “a,” “an,” “the,” and “the” are used in this specification to indicate the presence of one or more elements / components / etc.; the terms “including” and “having” are used to indicate an open-ended inclusion and to mean that there may be other elements / components / etc. in addition to the listed elements / components / etc.; the terms “first” and “second” are used only as markings and are not a limitation on the number of objects.
[0029] It should be understood that in the embodiments of this application, "at least one" means one or more, and "more than one" means two or more. "And / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. The character " / " generally indicates that the related objects before and after it are in an "or" relationship. "Contains A, B and / or C" means containing any one, two, or three of A, B, and C.
[0030] It should be understood that in the embodiments of this application, "B corresponding to A", "B corresponding to A", "A corresponds to B" or "B corresponds to A" means that B is associated with A, and B can be determined based on A. Determining B based on A does not mean that B is determined solely based on A; B can also be determined based on A and / or other information.
[0031] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.
[0032] As the new energy vehicle market continues to expand and charging infrastructure becomes increasingly widespread, users are paying more and more attention to energy consumption during the charging process. Currently, thermal management is the main source of energy waste during charging. Existing technologies often suffer from over-cooling in thermal management systems or fail to consider individual user needs, leading to a mismatch between thermal management energy consumption and charging demands.
[0033] Whether in low-temperature or high-temperature environments, the thermal management energy consumption of existing solutions is usually high, which affects the charging energy efficiency of the entire vehicle.
[0034] To address at least one of the problems mentioned above, this application proposes a vehicle charging control method and apparatus. For ease of understanding, the vehicle charging control apparatus according to embodiments of this application will be described in detail below.
[0035] Please see Figure 1 This is a flowchart illustrating a vehicle charging control method provided as an exemplary embodiment of this application. Figure 1 As shown, the vehicle charging control method of the exemplary embodiment of this application specifically includes: Step S101: In response to the vehicle entering the charging mode, obtain the charging data of the power battery in the current charging mode.
[0036] In the exemplary embodiment of this application, the vehicle's current charging mode can be identified by detecting the connection status between the charging gun and the vehicle's charging port. When in charging mode, the vehicle controller collects, but is not limited to, the following parameters and their acquisition methods via sensors or CAN communication: Current power battery status parameters: collected through the battery management system (BMS), including but not limited to actual current, battery state of charge (SOC), battery maximum temperature, battery minimum temperature, maximum single cell voltage, minimum single cell voltage, battery state of health (SOH), battery fault status, etc.
[0037] Charging start-up conditions: The charging pile type (DC pile, supercharging pile), maximum power of the charging pile, output voltage range of the charging pile, ambient temperature collected by the vehicle, and initial charging temperature of the vehicle battery are obtained through CAN communication between the battery management system (BMS) and the charging pile.
[0038] User charging mode: The user's charging mode selection is obtained through the vehicle's central control screen, APP or other means. The user's selected charging mode includes, but is not limited to, fast charging (prioritizing charging efficiency, suitable for emergency charging conditions) and fast charging (balancing charging efficiency and energy consumption, suitable for regular charging scenarios).
[0039] Step S102: Identify whether there is a charging abnormality in the vehicle based on the charging data.
[0040] Regarding step S102, in specific implementation, it can be determined whether the vehicle has a charging abnormality based on the charging data and preset abnormality triggering conditions.
[0041] Specifically, the presence of a charging anomaly in the vehicle can be determined based on the charging data and preset anomaly triggering conditions in the following manner: Based on the charging data, if the thermal management energy consumption of the vehicle is detected to meet the first condition, it is determined that the vehicle has an abnormal thermal management energy consumption.
[0042] Here, as an example, the first condition includes: detecting that the proportion of the vehicle's thermal management energy consumption to the total charging energy consumption is greater than a first threshold, or detecting that the vehicle's single thermal management energy consumption exceeds a second threshold of the historical average under the same operating conditions, or detecting that the vehicle's thermal management energy consumption is on an upward trend within a predetermined time period. Here, the first threshold, the second threshold, and the predetermined time period can be set according to actual conditions. For example, the first threshold is K1, K1=20%; the second threshold is K2, K2=1.5.
[0043] Based on the charging data, if it is detected that the battery temperature of the vehicle meets the second condition during the charging process, it is determined that the vehicle has an abnormal temperature control.
[0044] Here, as an example, the second condition includes: detecting that the vehicle's battery temperature control deviates from a preset temperature range, or detecting that the vehicle's highest temperature exceeds a predetermined temperature threshold for a predetermined period of time. Here, the preset temperature range and preset temperature threshold can be set according to actual conditions. For example, the preset temperature range is
[2545] , and the predetermined time is 15 minutes. For example, it is detected that the vehicle's battery temperature control deviates from the preset temperature range
[2545] .
[0045] Step S103: If a charging abnormality is detected in the vehicle, the thermal management parameters of the vehicle are corrected and optimized, and the corrected and optimized thermal management parameters are sent to the vehicle.
[0046] Regarding step S103, in one embodiment of this application, if a charging anomaly is detected in the vehicle, firstly, the historical charging data of the vehicle for N times prior to this monitoring is obtained; here, N is set according to the actual situation. For example, N is 10 times.
[0047] Then, based on the cause of the current charging anomaly, the previous N historical charging data, and the current vehicle status data, correction and optimization are performed to generate corrected and optimized thermal management parameters.
[0048] For example, based on the historical charging data from the previous N times, by retrieving and obtaining the thermal management parameter dataset under the current operating conditions, and combining it with the vehicle's current state data, correction and optimization can be performed to generate thermal management parameters suitable for the current vehicle.
[0049] Finally, the corrected and optimized thermal management parameters are sent to the vehicle.
[0050] In another embodiment of this application, if a charging abnormality is detected in the vehicle, the charging data of the current power battery in the charging mode can be input into the battery temperature change model to predict the thermal management energy consumption of the power battery during the charging process.
[0051] Here, the battery temperature change model is trained through the following steps: Acquire charging data for at least one vehicle during the charging process; the charging data includes at least one of the following: battery status parameters, thermal management related parameters, and environmental and facility parameters; Using the charging data as input data, an initial battery temperature change model is trained to obtain the battery temperature change model.
[0052] Then, the charging process of the power battery is evaluated using the thermal management energy consumption to obtain the ideal thermal management parameters of the power battery.
[0053] Specifically, the deviation of battery temperature from the preset range and thermal management energy consumption can be clearly identified, and the charging process can be evaluated as follows:
[0054] in, E_thm represents the deviation of the temperature from the preset range, and the thermal management energy consumption can be adjusted according to different charging modes.
[0055] The larger the η value, the better the charging thermal management control effect. Based on this evaluation system, the charging and thermal management strategies for different charging start conditions are optimized, and thermal management parameters with η values within the ideal set threshold range are selected for subsequent vehicle-side updates.
[0056] Accordingly, after obtaining the thermal management parameters, the ideal thermal management parameters are sent to the vehicle so that the vehicle controls the power battery to charge according to the updated thermal management parameters.
[0057] The vehicle charging control method proposed according to the exemplary embodiments of this application can significantly reduce thermal management energy consumption, while taking into account both charging efficiency and energy consumption, and updating and calibrating vehicle-side parameters when charging is abnormal.
[0058] This application also provides a control device corresponding to the control method provided in the above embodiments. Since the principle of the device in this application is similar to the control method in the above embodiments, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.
[0059] Figure 2 A schematic diagram of the structure of a vehicle charging control device provided for an exemplary embodiment of this application.
[0060] The acquisition unit 210 acquires the charging data of the power battery in the current charging mode in response to the vehicle entering the charging mode. The judgment unit 220 identifies whether the vehicle has a charging abnormality based on the charging data; If the correction unit 230 detects a charging abnormality in the vehicle, it corrects and optimizes the thermal management parameters of the vehicle and sends the corrected and optimized thermal management parameters to the vehicle.
[0061] Optionally, the determination unit 220 is specifically used for: Based on the charging data and preset abnormality triggering conditions, it is determined whether the vehicle has a charging abnormality.
[0062] Optionally, the determination unit 220 is specifically used for: Based on the charging data, if the thermal management energy consumption of the vehicle is detected to meet the first condition, it is determined that the vehicle has an abnormal thermal management energy consumption. Based on the charging data, if it is detected that the battery temperature of the vehicle meets the second condition during the charging process, it is determined that the vehicle has an abnormal temperature control.
[0063] Optionally, the first condition includes: If the proportion of the vehicle's thermal management energy consumption to the total charging energy consumption is greater than a first threshold, or if the vehicle's single thermal management energy consumption exceeds a second threshold of the historical average under the same operating conditions, or if the vehicle's thermal management energy consumption is on an upward trend within a predetermined time period. The second condition includes: detecting that the battery temperature control of the vehicle deviates from the preset temperature range, or detecting that the highest temperature of the vehicle exceeds a predetermined temperature threshold for a predetermined period of time.
[0064] Optionally, the correction unit 230 is specifically used for: If a charging anomaly is detected in the vehicle, obtain the vehicle's historical charging data for N previous monitoring sessions. Based on the cause of this charging anomaly, the previous N historical charging data, and the current vehicle status data, correction and optimization are performed to generate corrected and optimized thermal management parameters. The corrected and optimized thermal management parameters are sent to the vehicle.
[0065] Optionally, the correction unit 230 is specifically used for: If a charging anomaly is detected in the vehicle, the charging data of the current power battery in the charging mode is input into the battery temperature change model to predict the thermal management energy consumption of the power battery during the charging process. The charging process of the power battery is evaluated by using the deviation of the battery temperature from the preset range and the thermal management energy consumption, so as to obtain the ideal thermal management parameters of the power battery. The ideal thermal management parameters are sent to the vehicle so that the vehicle can control the power battery to charge according to the updated thermal management parameters.
[0066] Optionally, the battery temperature change model is trained through the following steps: Acquire charging data for at least one vehicle during the charging process; the charging data includes at least one of the following: battery status parameters, thermal management related parameters, and environmental and facility parameters; Using the charging data as input data, an initial battery temperature change model is trained to obtain the battery temperature change model.
[0067] Optionally, the correction unit 230 is specifically used for: The charging data of the current power battery in the charging mode is input into the battery temperature change model to predict the battery temperature change and thermal management energy consumption during the charging process.
[0068] The vehicle charging control device proposed according to the exemplary embodiments of this application can significantly reduce thermal management energy consumption, while taking into account both charging efficiency and energy consumption, and updating and calibrating vehicle-side parameters when charging is abnormal.
[0069] Please see Figure 3 , Figure 3 A schematic diagram of the structure of an electronic device provided as an exemplary embodiment of this application. For example... Figure 3 As shown, the electronic device 300 includes a processor 310, a memory 320, and a bus 330.
[0070] The memory 320 stores machine-readable instructions executable by the processor 310. When the electronic device 300 is running, the processor 310 communicates with the memory 320 via the bus 330. When the machine-readable instructions are executed by the processor 310, the steps of the vehicle charging control method as described in any of the above embodiments can be performed. The electronic device in this application embodiment can significantly reduce thermal management energy consumption while balancing charging efficiency and energy consumption, and update and calibrate vehicle-side parameters when charging is abnormal.
[0071] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, can perform the steps of the vehicle charging control method as described in any of the above embodiments.
[0072] The computer-readable storage medium of the present application embodiment can significantly reduce thermal management energy consumption, while taking into account charging efficiency and energy consumption, and update and calibrate vehicle-side parameters when charging is abnormal.
[0073] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and devices described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division; in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection may be through some communication interfaces; the indirect coupling or communication connection of devices or units may be electrical, mechanical, or other forms.
[0074] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0075] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.
[0076] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0077] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
Claims
1. A control method for vehicle charging, characterized in that, The vehicle charging control method includes: In response to the vehicle entering charging mode, the charging data of the power battery in the current charging mode is obtained; Based on the charging data, identify whether the vehicle has a charging abnormality; If a charging anomaly is detected in the vehicle, the vehicle's thermal management parameters are corrected and optimized, and the corrected and optimized thermal management parameters are sent to the vehicle.
2. The control method as described in claim 1, characterized in that, The step of identifying whether the vehicle has a charging abnormality based on the charging data includes: Based on the charging data and preset abnormality triggering conditions, it is determined whether the vehicle has a charging abnormality.
3. The control method as described in claim 2, characterized in that, The step of determining whether the vehicle has a charging abnormality based on the charging data and preset abnormality triggering conditions includes: Based on the charging data, if the thermal management energy consumption of the vehicle is detected to meet the first condition, it is determined that the vehicle has an abnormal thermal management energy consumption. Based on the charging data, if it is detected that the battery temperature of the vehicle meets the second condition during the charging process, it is determined that the vehicle has an abnormal temperature control.
4. The control method as described in claim 3, characterized in that, The first condition includes: If the proportion of the vehicle's thermal management energy consumption to the total charging energy consumption is greater than a first threshold, or if the vehicle's single thermal management energy consumption exceeds a second threshold of the historical average under the same operating conditions, or if the vehicle's thermal management energy consumption is on an upward trend within a predetermined time period. The second condition includes: detecting that the battery temperature control of the vehicle deviates from the preset temperature range, or detecting that the highest temperature of the vehicle exceeds a predetermined temperature threshold for a predetermined period of time.
5. The control method as described in claim 1, characterized in that, The step of correcting and optimizing the vehicle's thermal management parameters and sending the corrected and optimized thermal management parameters to the vehicle if a charging abnormality is detected includes: If a charging anomaly is detected in the vehicle, obtain the vehicle's historical charging data for N previous monitoring sessions. Based on the cause of this charging anomaly, the previous N historical charging data, and the current vehicle status data, correction and optimization are performed to generate corrected and optimized thermal management parameters. The corrected and optimized thermal management parameters are sent to the vehicle.
6. The control method as described in claim 1, characterized in that, The step of correcting and optimizing the vehicle's thermal management parameters and sending the corrected and optimized thermal management parameters to the vehicle if a charging abnormality is detected includes: If a charging anomaly is detected in the vehicle, the charging data of the current power battery in the charging mode is input into the battery temperature change model to predict the thermal management energy consumption of the power battery during the charging process. The charging process of the power battery is evaluated by using the deviation of the battery temperature from the preset range and the thermal management energy consumption, so as to obtain the ideal thermal management parameters of the power battery. The ideal thermal management parameters are sent to the vehicle so that the vehicle can control the power battery to charge according to the updated thermal management parameters.
7. The control method as described in claim 6, characterized in that, The battery temperature change model is trained using the following steps: Acquire charging data for at least one vehicle during the charging process; the charging data includes at least one of the following: battery status parameters, thermal management related parameters, and environmental and facility parameters; Using the charging data as input data, an initial battery temperature change model is trained to obtain the battery temperature change model.
8. The control method as described in claim 6, characterized in that, The step of evaluating the battery temperature change based on the charging data and obtaining updated thermal management parameters includes: The charging data of the current power battery in the charging mode is input into the battery temperature change model to predict the battery temperature change and thermal management energy consumption during the charging process.
9. A vehicle charging control device, characterized in that, The control device includes: The acquisition unit acquires the charging data of the power battery in the current charging mode in response to the vehicle entering the charging mode; The judgment unit identifies whether the vehicle has a charging abnormality based on the charging data; If the calibration unit detects a charging abnormality in the vehicle, it calibrates and optimizes the vehicle's thermal management parameters and sends the calibrated and optimized thermal management parameters to the vehicle.
10. An electronic device, characterized in that, include: The device includes a processor, a storage medium, and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, and when the electronic device is in operation, the processor communicates with the storage medium via the bus, and the processor executes the machine-readable instructions to perform the steps of the control method as described in any one of claims 1 to 8.
11. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the control method as described in any one of claims 1 to 8.