Vehicle operation control method and device
By acquiring vehicle operating parameters and using a large model to determine control parameters, the accuracy problem of traditional vehicle control strategies in different scenarios is solved, and precise control of the vehicle operation process is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- AVATR CO LTD
- Filing Date
- 2026-02-02
- Publication Date
- 2026-04-21
AI Technical Summary
Traditional vehicle operation control strategies are difficult to accurately cover various different operating scenarios, resulting in reduced accuracy of vehicle control.
By acquiring vehicle operating parameters, a large-scale vehicle operation control model is used to determine vehicle control parameters, and the vehicle operation process is controlled based on these parameters, including thermal management power distribution, sensor control, and fault diagnosis threshold adjustment.
It improves the control accuracy of vehicles under different operating conditions, ensuring the precision and safety of vehicle operation.
Smart Images
Figure CN121893772A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of vehicle operation control technology, and in particular to a vehicle operation control method and apparatus. Background Technology
[0002] In the field of intelligent electric vehicle operation control, accurate diagnosis of problems during vehicle operation is crucial for fault location, maintenance, and refined control, which is essential for driving safety. However, due to the system complexity, intelligence, and diversity of electronic control systems in electric vehicles, traditional vehicle operation control strategies struggle to accurately cover various operating scenarios.
[0003] In related technologies, sensors are typically used to detect parameters during vehicle operation, and the vehicle's driving process is controlled based on the detection results. However, in different operating states of the vehicle, a preset control method is always used to control the vehicle, which reduces the accuracy of controlling the target vehicle's operation. Summary of the Invention
[0004] This application provides a vehicle operation control method and apparatus that can improve the accuracy of controlling the operation of a target vehicle.
[0005] The technical solution of this application embodiment is implemented as follows: This application provides a vehicle operation control method, the method comprising: Obtain the vehicle operating parameters when the target vehicle is running; The vehicle operating parameters are input into the vehicle operation control model to obtain the vehicle control parameters; The operation of the target vehicle is controlled based on the vehicle control parameters.
[0006] This application provides a vehicle operation control device, including: The acquisition unit is used to acquire the vehicle operating parameters of the target vehicle during operation. The input unit is used to input the vehicle operating parameters into the vehicle operating control model to obtain vehicle control parameters. The control unit is used to control the operation of the target vehicle based on the vehicle control parameters.
[0007] This application provides an electronic device, the electronic device comprising: Memory is used to store executable instructions or computer programs. The processor, when executing computer-executable instructions or computer programs stored in the memory, implements the vehicle operation control method provided in the embodiments of this application.
[0008] This application provides a computer-readable storage medium storing a computer program or computer-executable instructions, which, when executed by a processor, implements the vehicle operation control method provided in this application.
[0009] This application provides a computer program product, including a computer program or computer-executable instructions. When the computer program or computer-executable instructions are executed by a processor, they implement the vehicle operation control method provided in this application.
[0010] The embodiments of this application have the following beneficial effects: When the vehicle operation control device acquires the vehicle operation parameters of the target vehicle during operation, it uses a large vehicle operation control model to determine the vehicle control parameters during the vehicle operation process based on the vehicle operation parameters, and then controls the target vehicle based on the vehicle control parameters. That is, the large vehicle operation control model is used to determine the vehicle control parameters of the target vehicle under different operating states, and then the target vehicle is controlled based on the corresponding vehicle operation parameters under different operating states, which improves the accuracy of controlling the operation process of the target vehicle. Attached Figure Description
[0011] Figure 1 This is a flowchart of a vehicle operation control method provided in an embodiment of this application; Figure 2 This is a schematic diagram of an exemplary vehicle operation control structure provided in an embodiment of this application; Figure 3 This is a schematic diagram of the composition structure of a vehicle operation control device provided in an embodiment of this application; Figure 4 This is a schematic diagram of the composition structure of an electronic device provided in an embodiment of this application.
[0012] It should be noted that the terms "first" and "second" mentioned above are only used to distinguish between different options and do not represent the degree of superiority or inferiority of the options or their priority in the implementation process. Detailed Implementation
[0013] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0014] This application provides a vehicle operation control method, which is applied to a vehicle operation control device. Figure 1 A flowchart of a vehicle operation control method provided in this application embodiment is shown below. Figure 1 As shown, the vehicle operation control method may include: S101. Obtain the vehicle operation parameters when the target vehicle is running.
[0015] The vehicle operation control method provided in this application embodiment is applicable to scenarios where a target vehicle needs to be controlled.
[0016] In the embodiments of this application, the vehicle operation control device can be implemented in various forms. For example, the vehicle operation control device described in this application may include devices such as servers, cloud, and controllers, or other devices. The specific embodiments of this application do not limit this.
[0017] In this application embodiment, the target vehicle can be a sedan, SUV, sports car, van, bus, or other type of vehicle. The specific category of the target vehicle can be determined according to the actual situation, and this application embodiment does not limit it.
[0018] It should be noted that the vehicle operation control device can be a device in the target vehicle, that is, a device that makes up the target vehicle; the vehicle operation control device can also be a device in the cloud that establishes a communication connection with the target vehicle. The specific relationship between the vehicle operation control device and the target vehicle can be determined according to the actual situation, and this application embodiment does not limit it.
[0019] In this application embodiment, the vehicle operating parameters of the target vehicle can be obtained from other devices, from a database, or through other means. The specific method of obtaining the vehicle operating parameters of the target vehicle can be determined according to the actual situation, and this application embodiment does not limit it.
[0020] In this embodiment, the vehicle operating parameters of the target vehicle can be acquired in real time, or the vehicle operating parameters of the target vehicle can be acquired once every preset time period, or the vehicle operating parameters of the target vehicle can be acquired once upon receiving an instruction. The specific opportunity to acquire the vehicle operating parameters of the target vehicle can be determined according to the actual situation, and this embodiment does not limit it.
[0021] It should be noted that the preset time period can be information configured in the vehicle operation control device, information transmitted to the vehicle operation control device from other devices, or information obtained by the vehicle operation control device through other means. The specific way in which the vehicle operation control device obtains the preset time period can be determined according to the actual situation, and this application embodiment does not limit it.
[0022] For example, the preset time period can be 1 minute, or it can be 30 seconds. The length of the preset time period can also be other length values. The specific length of the preset time period can be determined according to the actual situation. This application embodiment does not limit this.
[0023] It should be noted that vehicle operation includes both the process of the target vehicle driving and the process of the target vehicle starting but not driving.
[0024] In this embodiment of the application, the vehicle operating parameters include one or more of the following data: target vehicle motion status data, high voltage power supply operating status data, thermal management system operating status data, etc.
[0025] It should be noted that the motion state data includes the target vehicle's speed, acceleration, direction of travel, tire speed, tire temperature, etc. The specific vehicle operation data can be determined according to the actual situation, and this application embodiment does not limit it.
[0026] In this embodiment of the application, the target vehicle is an electric vehicle, that is, the target vehicle includes a battery pack for power supply. The battery pack is specifically a high-voltage power supply. The high-voltage power supply's operating status data includes the operating status of the battery pack and the operating status of the peripheral equipment that works with the battery pack.
[0027] It should be noted that the high-voltage power supply operating status data includes the voltage, current, and power of the battery pack in the target vehicle, as well as the voltage, current, and power of various electronic components in the target vehicle. The specific high-voltage power supply operating status data can be determined according to the actual situation, and this application embodiment does not limit it.
[0028] In this embodiment of the application, the target vehicle includes a battery pack. When the weather is cold, the thermal management system in the target vehicle can be used to heat the battery pack and the interior environment of the target vehicle. When the weather is hot, the thermal management system in the target vehicle can be used to cool the battery pack and the interior environment of the target vehicle.
[0029] It should be noted that the working status data of the thermal management system includes the working status of the thermal management system and the status of the equipment that works in conjunction with the thermal management system.
[0030] It should be noted that the operating status data of the thermal management system includes the temperature, refrigerant flow rate, heat transfer flow rate, etc. of various components in the target vehicle. The specific operating status data of the thermal management system can be determined according to the actual situation, and this application embodiment does not limit it.
[0031] In this embodiment of the application, the process by which the vehicle operation control device obtains the vehicle operation parameters during the operation of the target vehicle includes: receiving the original operation parameters uploaded by the target vehicle during the operation of the target vehicle; and preprocessing the original operation parameters to obtain the vehicle operation parameters.
[0032] In this embodiment of the application, if the vehicle operation control device is a device in the target vehicle, the vehicle operation control device can interact with various electronic components in the target vehicle to obtain the original operating parameters; if the vehicle operation control device is a device in the cloud that establishes a communication connection with the target vehicle, the vehicle operation control device can receive the original operating parameters uploaded by the target vehicle to the cloud.
[0033] For example, the vehicle's onboard terminal TBOX can collect vehicle operating parameters in real time and upload them to the cloud platform (cloud) via a 4G / 5G network, thus providing the vehicle operation control device with the vehicle operating parameters.
[0034] It should be noted that the original operating parameters include the target vehicle's original motion status data, the original high-voltage power supply's operating status data, and the original thermal management system's operating status data, among other parameters.
[0035] In the embodiments of this application, preprocessing includes data cleaning and outlier correction, and other processing methods may also be included. The specific preprocessing method can be determined according to the actual situation, and the embodiments of this application do not limit it.
[0036] It should be noted that the original operating parameters can be cleaned first, and then outlier correction can be performed to obtain the vehicle operating parameters. Alternatively, the original operating parameters can be corrected for outliers first, and then the data can be cleaned to obtain the vehicle operating parameters. The specific method can be determined according to the actual situation, and this application embodiment does not limit this.
[0037] It should be noted that outlier correction of the original operating parameters includes identifying outliers in the original operating parameters and replacing them with preset values. For example, if the target vehicle is detected to have a speed of 50 km / h for most of a period of time, but one of the detected values is 180 km / h, then the parameter value of 180 km / h can be identified as an outlier, and the 50 km / h value can be used as the preset value to replace the current detected value (180 km / h).
[0038] It should be noted that data cleaning of the original operating parameters includes removing duplicate information from the original operating parameters, correcting erroneous values in the original operating parameters, and filling in missing values in the original operating parameters.
[0039] S102. Input the vehicle operating parameters into the vehicle operation control model to obtain the vehicle control parameters.
[0040] In this embodiment of the application, after the vehicle operation control device obtains the vehicle operation parameters when the target vehicle is running, it inputs the vehicle operation parameters into the vehicle operation control big model to obtain the vehicle control parameters.
[0041] In this embodiment, the vehicle operation control big model can be a configured model, a model transmitted from other devices to the vehicle operation control device, or a model obtained by the vehicle operation control device through other means. The specific way the vehicle operation control device obtains the vehicle operation control big model can be determined according to the actual situation, and this embodiment does not limit it.
[0042] For example, the large model for vehicle operation control can be obtained by training a large agent model based on DeepSeek.
[0043] In this embodiment, the vehicle operation control model can be one model or multiple models, which can be determined according to the actual situation. This embodiment does not limit this.
[0044] For example, the vehicle operation control big model includes a vehicle thermal management big model, a vehicle sensor parameter determination big model, a vehicle power big model, etc. The specific vehicle operation control big model can be determined according to the actual situation, and this application embodiment does not limit it.
[0045] In this embodiment, the vehicle control parameters include vehicle thermal management power allocation strategy, sensor control parameters, and vehicle fault diagnosis threshold parameters. The specific vehicle control parameters can be determined according to the actual situation, and this embodiment does not limit them.
[0046] In this embodiment, if the vehicle operation control model includes a vehicle thermal management model, the vehicle thermal management model can be used to determine the vehicle thermal management power allocation strategy based on the vehicle operating parameters. If the vehicle operation control model includes a vehicle sensor parameter determination model, the vehicle sensor parameter determination model can be used to determine the sensor control parameters based on the vehicle operating parameters. If the vehicle operation control model includes a vehicle power model, the vehicle power model can be used to determine the vehicle fault diagnosis threshold parameters based on the vehicle operating parameters.
[0047] S103. Controlling the operation of the target vehicle based on vehicle control parameters.
[0048] In this embodiment of the application, the vehicle operation control device inputs the vehicle operation parameters into the vehicle operation control big model, and after obtaining the vehicle control parameters, controls the operation of the target vehicle based on the vehicle control parameters.
[0049] In this embodiment of the application, if the vehicle control parameters include a vehicle thermal management power allocation strategy, the vehicle thermal management power allocation strategy of the target vehicle at the current moment can be adjusted based on the vehicle thermal management power allocation strategy, so as to control the operation of the vehicle thermal management system in the target vehicle based on the vehicle thermal management power allocation strategy.
[0050] In this embodiment of the application, if the vehicle control parameters include sensor control parameters, the sensor parameters of the target vehicle at the current moment can be adjusted based on the sensor control parameters so as to control the target vehicle based on the adjusted sensor parameters.
[0051] In this embodiment of the application, if the vehicle control parameters include vehicle fault diagnosis threshold parameters, the fault diagnosis threshold parameters of the target vehicle at the current moment can be adjusted based on the vehicle fault diagnosis threshold parameters so as to control the target vehicle based on the adjusted threshold parameters.
[0052] In this embodiment of the application, the vehicle operation control device controls the operation of the target vehicle based on vehicle control parameters, including: sending vehicle control parameters to the vehicle controller of the target vehicle so that the vehicle controller can control the operation of the target vehicle based on the vehicle control parameters.
[0053] In this embodiment, if the vehicle operation control device is a device in the target vehicle, the vehicle operation control device can interact with various electronic components in the target vehicle to send the vehicle control parameters to the corresponding electronic components; if the vehicle operation control device is a device in the cloud that establishes a communication connection with the target vehicle, the vehicle operation control device can send the vehicle control parameters to the target vehicle through the cloud so that the vehicle controller can control the operation of the target vehicle based on the vehicle control parameters.
[0054] In this embodiment of the application, the method of sending vehicle control parameters to the vehicle controller of the target vehicle can be determined according to the actual situation, and this embodiment of the application does not limit it.
[0055] It is understandable that the vehicle operation control device acquires the vehicle operation parameters of the target vehicle during operation, and then uses the vehicle operation control big model to determine the vehicle control parameters during the vehicle operation process based on the vehicle operation parameters, so as to control the target vehicle based on the vehicle control parameters. That is, the vehicle operation control big model is used to determine the vehicle control parameters of the target vehicle under different operating states, and then the target vehicle is controlled based on the corresponding vehicle operation parameters under different operating states, thereby improving the accuracy of controlling the operation process of the target vehicle.
[0056] The following is a detailed explanation of how the vehicle operating parameters are input into the large-scale vehicle operation control model in step S102 to obtain the vehicle control parameters: Specifically, the vehicle operation control big model includes the vehicle thermal management big model; the process by which the vehicle operation control device inputs vehicle operation parameters into the vehicle operation control big model to obtain vehicle control parameters includes: inputting vehicle operation parameters into the vehicle thermal management big model to obtain the vehicle thermal management power allocation strategy; and determining the vehicle thermal management power allocation strategy as the vehicle control parameters.
[0057] In this embodiment, vehicle operating parameters can be input into the vehicle thermal management big model to obtain the vehicle thermal management power allocation strategy; alternatively, thermal management system operating status data can be directly input into the vehicle thermal management big model to obtain the vehicle thermal management power allocation strategy. The specific strategy can be determined according to the actual situation, and this embodiment does not limit it.
[0058] In this embodiment of the application, the vehicle operation control large model includes a vehicle sensor parameter determination large model; the process by which the vehicle operation control device inputs vehicle operation parameters into the vehicle operation control large model to obtain vehicle control parameters includes: inputting vehicle operation parameters into the vehicle sensor parameter determination large model to obtain sensor control parameters; and determining the sensor control parameters as vehicle control parameters.
[0059] In this embodiment, vehicle operating parameters can be input into vehicle sensor parameters to determine a large model and obtain sensor control parameters; alternatively, the motion state data of the target vehicle can be directly input into vehicle sensor parameters to determine a large model and obtain sensor control parameters. The specific method can be determined according to the actual situation, and this embodiment does not limit it.
[0060] In this embodiment, if the vehicle operation control model includes a vehicle sensor parameter determination model and a vehicle thermal management model, then the vehicle operation parameters can be input into the vehicle thermal management model to obtain the vehicle thermal management power allocation strategy; the vehicle operation parameters can be input into the vehicle sensor parameter determination model to obtain sensor control parameters; and the vehicle thermal management power allocation strategy and sensor control parameters can be determined as vehicle control parameters.
[0061] It should be noted that the vehicle operating parameters can be input into the vehicle thermal management large model first to obtain the vehicle thermal management power allocation strategy, and then the vehicle operating parameters can be input into the vehicle sensor parameter determination large model to obtain the sensor control parameters; alternatively, the vehicle operating parameters can be input into the vehicle sensor parameter determination large model first to obtain the sensor control parameters, and then the vehicle operating parameters can be input into the vehicle thermal management large model to obtain the vehicle thermal management power allocation strategy. The specific method can be determined according to the actual situation, and this application embodiment does not limit it.
[0062] In this embodiment of the application, the vehicle operation control big model includes a vehicle power big model; the process by which the vehicle operation control device inputs vehicle operation parameters into the vehicle operation control big model to obtain vehicle control parameters includes: inputting vehicle operation parameters into the vehicle power big model to obtain vehicle fault diagnosis threshold parameters; and determining the vehicle fault diagnosis threshold parameters as vehicle control parameters.
[0063] In this embodiment, vehicle operating parameters can be input into the vehicle power model to obtain vehicle fault diagnosis threshold parameters; alternatively, high-voltage power supply operating status data can be directly input into the vehicle power model to obtain vehicle fault diagnosis threshold parameters. The specific method can be determined based on the actual situation, and this embodiment does not limit this.
[0064] In this embodiment, if the vehicle operation control model includes a vehicle sensor parameter determination model, a vehicle operation control model, and a vehicle thermal management model, then the vehicle operation parameters can be input into the vehicle thermal management model to obtain a vehicle thermal management power allocation strategy; the vehicle operation parameters can be input into the vehicle sensor parameter determination model to obtain sensor control parameters; the vehicle operation parameters can be input into the vehicle power model to obtain vehicle fault diagnosis threshold parameters; and the vehicle fault diagnosis threshold parameters, vehicle thermal management power allocation strategy, and sensor control parameters can be determined as vehicle control parameters.
[0065] It should be noted that, alternatively, the vehicle operating parameters can be input into the vehicle thermal management large model first to obtain the vehicle thermal management power allocation strategy, then input into the vehicle sensor parameter determination large model to obtain the sensor control parameters, and finally input into the vehicle power large model to obtain the vehicle fault diagnosis threshold parameters; alternatively, the vehicle operating parameters can be input into the vehicle power large model first to obtain the vehicle fault diagnosis threshold parameters, then input into the vehicle thermal management large model to obtain the vehicle thermal management power allocation strategy, and finally input into the vehicle sensor parameter determination large model to obtain the sensor control parameters. The specific order in which the vehicle operating parameters are input into the vehicle thermal management large model, the vehicle sensor parameter determination large model, and the vehicle power large model can be determined according to the actual situation, and this application embodiment does not limit this.
[0066] In this embodiment, the vehicle operation control device inputs the vehicle operation parameters into the large-scale vehicle operation control model. Before obtaining the vehicle control parameters, it also obtains the sample vehicle operation parameters and the corresponding sample vehicle control parameters. Based on the sample vehicle operation parameters and the sample vehicle control parameters, the initial large-scale model is trained to obtain the large-scale vehicle operation control model.
[0067] In this embodiment, the sample vehicle operating parameters and corresponding sample vehicle control parameters can be obtained from a database, from other devices, or through other means. The specific method of obtaining the sample vehicle operating parameters and corresponding sample vehicle control parameters can be determined according to the actual situation, and this embodiment does not limit it.
[0068] In this embodiment, the sample vehicle operating parameters can be input into the initial large model. The initial large model is used to determine the corresponding output vehicle control parameters of the sample vehicle operating parameters. The model loss of the initial large model is then determined based on the output vehicle control parameters and the sample vehicle control parameters. If the model loss is less than or equal to a preset loss threshold, the initial large model is determined to be the vehicle operation control large model. If the model loss is greater than the preset loss threshold, the initial large model is further trained using the sample vehicle operating parameters and the corresponding sample vehicle control parameters to obtain a trained model. If the model loss of the trained model is less than or equal to the preset loss threshold, the trained model is determined to be the vehicle operation control large model.
[0069] It should be noted that the sample vehicle operating parameters include sample vehicle motion status data, sample high-voltage power supply operating status data, and sample thermal management system operating status data.
[0070] For example, the sample vehicle operating parameters also include data on temperature environment, humidity environment, altitude environment, vehicle component aging, and different driving scenarios.
[0071] It should also be noted that the sample motion state data includes the sample vehicle speed, sample acceleration, sample driving direction, sample tire speed, sample tire temperature, etc. when the sample vehicle is running. The specific sample motion state data can be determined according to the actual situation, and this application embodiment does not limit it.
[0072] It should also be noted that the sample high-voltage power supply operating status data includes the sample voltage, sample current, and sample power of the sample battery pack in the sample vehicle, as well as the sample voltage, sample current, and sample power of each sample electronic component in the sample vehicle. The specific sample high-voltage power supply operating status data can be determined according to the actual situation, and this application embodiment does not limit it.
[0073] It should also be noted that the working status data of the sample thermal management system includes the sample temperature, sample refrigerant flow rate, and sample heat transfer flow rate of each sample component in the sample vehicle. The specific working status data of the sample thermal management system can be determined according to the actual situation, and this application embodiment does not limit it.
[0074] In this embodiment, the sample vehicle control parameters include the sample vehicle thermal management power allocation strategy, sample sensor control parameters, and sample vehicle fault diagnosis threshold parameters, etc. The specific vehicle control parameters can be determined according to the actual situation, and this embodiment does not limit them.
[0075] It should be noted that an initial large-scale model can be trained using sample thermal management system operating status data and sample vehicle thermal management power allocation strategies to obtain a large-scale vehicle thermal management model. An initial large-scale model can be trained using sample motion state data and sample sensor control parameters to obtain a large-scale vehicle sensor parameter determination model. An initial large-scale model can be trained using sample high-voltage power supply operating status data and sample vehicle fault diagnosis threshold parameters to obtain a large-scale vehicle dynamics model. Thus, the large-scale vehicle thermal management model, the large-scale vehicle sensor parameter determination model, and the large-scale vehicle dynamics model are determined as the large-scale vehicle operation control model.
[0076] In this embodiment, an initial large-scale model can be trained using sample vehicle control parameters and sample vehicle thermal management power allocation strategies to obtain a large-scale vehicle thermal management model. An initial large-scale model can also be trained using sample vehicle control parameters and sample sensor control parameters to obtain a large-scale vehicle sensor parameter determination model. Finally, an initial large-scale model can be trained using sample vehicle control parameters and sample vehicle fault diagnosis threshold parameters to obtain a large-scale vehicle dynamics model. Thus, the large-scale vehicle thermal management model, the large-scale vehicle sensor parameter determination model, and the large-scale vehicle dynamics model are determined as the large-scale vehicle operation control model.
[0077] In this embodiment of the application, the process of the vehicle operation control device training an initial large model based on sample vehicle operation parameters and sample vehicle control parameters to obtain a large vehicle operation control model includes: preprocessing the sample vehicle operation parameters to obtain processed sample vehicle operation parameters; and using the processed sample vehicle operation parameters and sample vehicle control parameters to train an initial large model to obtain a large vehicle operation control model.
[0078] In this embodiment, the method of preprocessing the sample vehicle operating parameters to obtain the processed sample vehicle operating parameters is the same as the method of preprocessing the original operating parameters to obtain the vehicle operating parameters. However, the method of preprocessing the sample vehicle operating parameters to obtain the processed sample vehicle operating parameters may also differ from the method of preprocessing the original operating parameters to obtain the vehicle operating parameters. The specific method can be determined based on actual circumstances, and this embodiment does not impose any limitations on it.
[0079] In this embodiment of the application, the preprocessing of the sample vehicle operating parameters includes data cleaning and outlier correction, and may also include other processing methods. The specific methods can be determined according to the actual situation, and this embodiment of the application does not limit them.
[0080] In this embodiment of the application, if the preprocessing includes data cleaning and outlier correction of the sample vehicle operating parameters, the sample vehicle operating parameters can be cleaned first, and then outlier correction can be performed to obtain the processed sample vehicle operating parameters; alternatively, the sample vehicle operating parameters can be corrected for outliers first, and then data cleaning can be performed to obtain the processed sample vehicle operating parameters. The specific method can be determined according to the actual situation, and this embodiment of the application does not limit it.
[0081] It should be noted that outlier correction for sample vehicle operating parameters involves identifying outliers in the sample vehicle's operating parameters and replacing them with preset values. For example, if the target vehicle's speed is mostly 50 km / h over a period of time, but one detected value is 180 km / h, then the 180 km / h value can be identified as an outlier, and the 50 km / h value can be used as the preset value to replace the current detected value (180 km / h).
[0082] It should be noted that data cleaning of the sample vehicle operating parameters includes removing duplicate information from the sample vehicle operating parameters, correcting erroneous values in the sample vehicle operating parameters, and completing missing values in the sample vehicle operating parameters.
[0083] In this embodiment of the application, the processed sample vehicle operating parameters include the processed sample vehicle motion state data, the processed sample high-voltage power supply operating state data, and the processed sample thermal management system operating state data.
[0084] In this embodiment, an initial large-scale model can be trained using processed sample thermal management system operating status data and sample vehicle thermal management power allocation strategy to obtain a vehicle thermal management large-scale model. An initial large-scale model can also be trained using processed sample motion state data and sample sensor control parameters to obtain a vehicle sensor parameter determination large-scale model. Finally, an initial large-scale model can be trained using processed sample high-voltage power supply operating status data and sample vehicle fault diagnosis threshold parameters to obtain a vehicle power large-scale model. Thus, the vehicle thermal management large-scale model, the vehicle sensor parameter determination large-scale model, and the vehicle power large-scale model are determined as the vehicle operation control large-scale model.
[0085] It should be noted that the specific method of using the processed sample thermal management system working status data and sample vehicle thermal management power allocation strategy to train the initial large model and obtain the vehicle thermal management large model can be determined according to the actual situation, and this application embodiment does not limit it in this way.
[0086] It should be noted that the method of training the initial large model using the processed sample motion state data and sample sensor control parameters to obtain the vehicle sensor parameters and determine the large model can be determined according to the actual situation, and this application embodiment does not limit it.
[0087] It should be noted that the method of training the initial large model using the processed sample high-voltage power supply working status data and sample vehicle fault diagnosis threshold parameters to obtain the vehicle power large model can be determined according to the actual situation, and this application embodiment does not limit it.
[0088] In this embodiment, an initial large-scale model can be trained using the processed sample vehicle control parameters and sample vehicle thermal management power allocation strategy to obtain a large-scale vehicle thermal management model. An initial large-scale model can also be trained using the processed sample vehicle control parameters and sample sensor control parameters to obtain a large-scale vehicle sensor parameter determination model. Finally, an initial large-scale model can be trained using the processed sample vehicle control parameters and sample vehicle fault diagnosis threshold parameters to obtain a large-scale vehicle dynamics model. Thus, the large-scale vehicle thermal management model, the large-scale vehicle sensor parameter determination model, and the large-scale vehicle dynamics model are determined as the large-scale vehicle operation control model.
[0089] For example, such as Figure 2As shown: The vehicle operation control device is a cloud-based device. First, it acquires the sample vehicle operation parameters and the corresponding sample vehicle control parameters (obtained after data preprocessing and labeling) and uploads them to the cloud. After receiving the sample vehicle operation parameters and the sample vehicle control parameters, the cloud-based vehicle operation control device preprocesses the sample vehicle operation parameters to obtain the processed sample vehicle operation parameters. After labeling the processed sample vehicle operation parameters and the sample vehicle control parameters with positive and negative samples, it trains the initial large model to obtain the large vehicle operation control model (i.e., the vehicle model intelligent agent large model constructed by DeepSeek, including the vehicle thermal management large model (vehicle thermal management model intelligent agent), the vehicle sensor parameter determination large model (sensor model intelligent agent), the vehicle dynamics large model (vehicle kinematics model intelligent agent), etc.). Then, the system receives the raw operating parameters of the target vehicle (i.e., the raw operating data of the target vehicle) uploaded by the target vehicle, preprocesses the raw operating parameters (data preprocessing) to obtain the vehicle operating parameters, inputs the vehicle operating parameters into the vehicle operating control model to obtain the vehicle control parameters (including the vehicle thermal management power allocation strategy, sensor control parameters and vehicle fault diagnosis threshold parameters). After that, the vehicle operating control device sends the vehicle control parameters to the target vehicle (data sent to the vehicle end) so that the vehicle controller of the target vehicle can control the operation of the target vehicle based on the vehicle control parameters.
[0090] Based on the same inventive concept as the above-mentioned vehicle operation control method, this application provides a vehicle operation control device 1, corresponding to a vehicle operation control method; Figure 3 A schematic diagram of the composition structure of a vehicle operation control device provided in this application embodiment. Figure 1 The vehicle operation control device 1 may include: The acquisition unit 11 is used to acquire the vehicle operating parameters when the target vehicle is running; Input unit 12 is used to input the vehicle operating parameters into the vehicle operating control large model to obtain vehicle control parameters; Control unit 13 is used to control the operation of the target vehicle based on the vehicle control parameters.
[0091] In some embodiments of this application, the vehicle operation control big model includes a vehicle thermal management big model, and the device further includes a determination unit; The input unit 12 is used to input the vehicle operating parameters into the vehicle thermal management big model to obtain the vehicle thermal management power allocation strategy. The determining unit is used to determine the vehicle thermal management power allocation strategy as the vehicle control parameters.
[0092] In some embodiments of this application, the vehicle operation control big model includes a vehicle sensor parameter determination big model; The input unit 12 is used to input the vehicle operating parameters into the vehicle sensor parameters to determine the large model and obtain the sensor control parameters. A determining unit is used to determine the sensor control parameters as the vehicle control parameters.
[0093] In some embodiments of this application, the vehicle operation control big model includes a vehicle power big model; The input unit 12 is used to input the vehicle operating parameters into the vehicle power model to obtain vehicle fault diagnosis threshold parameters. The determining unit is used to determine the vehicle fault diagnosis threshold parameter as the vehicle control parameter.
[0094] In some embodiments of this application, the vehicle operating parameters include one or more of the following data: motion status data of the target vehicle, operating status data of the high-voltage power supply, and operating status data of the thermal management system.
[0095] In some embodiments of this application, the apparatus further includes a training unit; The acquisition unit 11 is used to acquire the sample vehicle operating parameters and the sample vehicle control parameters corresponding to the sample vehicle operating parameters. The training unit is used to train an initial large model based on the sample vehicle's operating parameters and control parameters to obtain the vehicle's large operating control model.
[0096] In some embodiments of this application, the apparatus further includes a preprocessing unit; The preprocessing unit is used to preprocess the sample vehicle operating parameters to obtain the processed sample vehicle operating parameters. The training unit is used to train an initial large model using the processed sample vehicle operating parameters and the sample vehicle control parameters, thereby obtaining the large model for vehicle operation control.
[0097] In some embodiments of this application, the apparatus further includes a transmitting unit; The sending unit is used to send the vehicle control parameters to the target vehicle so that the vehicle controller of the target vehicle can control the operation of the target vehicle based on the vehicle control parameters.
[0098] In some embodiments of this application, the apparatus further includes a receiving unit; The receiving unit is used to receive the original operating parameters of the target vehicle during operation uploaded by the target vehicle. The preprocessing unit is used to preprocess the original operating parameters to obtain the vehicle operating parameters.
[0099] It should be noted that, in practical applications, the aforementioned acquisition unit 11, input unit 12, and control unit 13 can be implemented by a processor 21 on an electronic device, specifically a CPU (Central Processing Unit), MPU (Microprocessor Unit), DSP (Digital Signal Processor), or Field Programmable Gate Array (FPGA), etc.; the aforementioned data storage can be implemented by a memory 22 on an electronic device.
[0100] This application also provides an electronic device, such as... Figure 4 As shown, the electronic device includes a processor 21, a memory 22, and a communication bus 23. The memory 22 communicates with the processor 21 through the communication bus 23. The memory 22 stores programs executable by the processor 21. When the program is executed, the processor 21 executes the vehicle operation control method as described above.
[0101] In practical applications, the aforementioned memory 22 can be volatile memory, such as random-access memory (RAM); or non-volatile memory, such as read-only memory (ROM), flash memory, hard disk drive (HDD), or solid-state drive (SSD); or a combination of the above types of memory, and provide instructions and data to the processor 21.
[0102] This application provides a computer-readable storage medium having a computer program thereon, which, when executed by a processor 21, implements the vehicle operation control method as described above.
[0103] For example, this application also provides a computer program product, including a computer program that can be executed by a processor 21 in an electronic device to complete the steps of the aforementioned vehicle operation control method.
[0104] It is understandable that the vehicle operation control device acquires the vehicle operation parameters of the target vehicle during operation, and then uses the vehicle operation control big model to determine the vehicle control parameters during the vehicle operation process based on the vehicle operation parameters, so as to control the target vehicle based on the vehicle control parameters. That is, the vehicle operation control big model is used to determine the vehicle control parameters of the target vehicle under different operating states, and then the target vehicle is controlled based on the corresponding vehicle operation parameters under different operating states, thereby improving the accuracy of controlling the operation process of the target vehicle.
[0105] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.
[0106] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0107] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0108] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0109] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Any modifications, equivalent substitutions, and improvements made within the spirit and scope of this application are included within the scope of protection of this application.
Claims
1. A vehicle operation control method, characterized in that, The method includes: Obtain the vehicle operating parameters when the target vehicle is running; The vehicle operating parameters are input into the vehicle operation control model to obtain the vehicle control parameters; The operation of the target vehicle is controlled based on the vehicle control parameters.
2. The method according to claim 1, characterized in that, The vehicle operation control model includes a vehicle thermal management model; the process of inputting the vehicle operation parameters into the vehicle operation control model to obtain vehicle control parameters includes: The vehicle operating parameters are input into the vehicle thermal management big model to obtain the vehicle thermal management power allocation strategy. The vehicle thermal management power allocation strategy is determined as the vehicle control parameter.
3. The method according to claim 1, characterized in that, The vehicle operation control model includes a vehicle sensor parameter determination model; the process of inputting the vehicle operation parameters into the vehicle operation control model to obtain vehicle control parameters includes: The vehicle operating parameters are input into the vehicle sensor parameters to determine the large model, and the sensor control parameters are obtained. The sensor control parameters are determined as the vehicle control parameters.
4. The method according to claim 1, characterized in that, The vehicle operation control model includes a vehicle power model; the process of inputting the vehicle operation parameters into the vehicle operation control model to obtain vehicle control parameters includes: The vehicle operating parameters are input into the vehicle power model to obtain the vehicle fault diagnosis threshold parameters. The vehicle fault diagnosis threshold parameter is determined as the vehicle control parameter.
5. The method according to claim 1, characterized in that, The vehicle operating parameters include one or more of the following data: the motion status data of the target vehicle, the operating status data of the high-voltage power supply, and the operating status data of the thermal management system.
6. The method according to claim 1, characterized in that, Before inputting the vehicle operating parameters into the vehicle operating control large model to obtain the vehicle control parameters, the method further includes: Obtain the sample vehicle operating parameters and the corresponding sample vehicle control parameters; An initial large model is trained based on the sample vehicle's operating parameters and control parameters to obtain the vehicle's large operating control model.
7. The method according to claim 6, characterized in that, The process of training an initial large-scale model based on the sample vehicle's operating parameters and control parameters to obtain the large-scale vehicle operation control model includes: The sample vehicle operating parameters are preprocessed to obtain the processed sample vehicle operating parameters; The initial large model is trained using the processed sample vehicle operating parameters and the sample vehicle control parameters to obtain the large model for vehicle operation control.
8. The method according to claim 1, characterized in that, The process of controlling the operation of the target vehicle based on the vehicle control parameters includes: The vehicle control parameters are sent to the target vehicle so that the vehicle controller of the target vehicle can control the operation of the target vehicle based on the vehicle control parameters.
9. The method according to claim 1, characterized in that, The process of obtaining vehicle operating parameters during the operation of the target vehicle includes: Receive the original operating parameters of the target vehicle during its operation, uploaded by the target vehicle. The original operating parameters are preprocessed to obtain the vehicle operating parameters.
10. A vehicle operation control device, characterized in that, The vehicle operation control device includes: The acquisition unit is used to acquire the vehicle operating parameters of the target vehicle during operation. The input unit is used to input the vehicle operating parameters into the vehicle operating control model to obtain vehicle control parameters. The control unit is used to control the operation of the target vehicle based on the vehicle control parameters.