Control method of automobile thermal management system

Abstract

The invention relates to a control method of an automobile thermal management system. The method comprises the following steps: predicting to obtain predicted starting time of the automobile thermal management system through a cloud server according to predicted getting-on time of a user, environment state information and system starting information of the automobile thermal management system, and starting the automobile thermal management system under the condition that the current time reaches the predicted starting time, a vehicle-mounted remote information processor of a target vehicle generates an automobile thermal management system starting instruction carrying predicted getting-on time of a user and sends the automobile thermal management system starting instruction to a vehicle control unit of the target vehicle, and the vehicle control unit responds to the automobile thermal management system starting instruction. The starting duration is obtained according to sensor data collected by a vehicle-mounted sensor of the target vehicle and system starting information of the automobile thermal management system, and finally the automobile thermal management system of the target vehicle is controlled to be started based on the current time, the starting duration and predicted getting-on time of a user. By adopting the method, the timeliness rate of system control is ensured.

Description

Technical Field

[0001] The present application relates to the field of automated control technology, and in particular to a control method, device, vehicle, computer-readable storage medium, and computer program product for an automotive thermal management system. Background Art

[0002] Current intelligent control methods for automotive thermal management systems in the industry enable remote start and shutdown. Remote start and shutdown can be manually controlled in advance through an app (Application) or a key fob, allowing users to manage the interior temperature before they get in the car, ensuring comfort.

[0003] However, the current traditional method of remotely starting or shutting down the automotive thermal management system has the problem of low control timeliness. Summary of the Invention

[0004] Based on this, it is necessary to provide a control method, system, device, vehicle, computer-readable storage medium and computer program product for an automotive thermal management system that can improve the timeliness of control in order to address the above technical problems.

[0005] In a first aspect, the present application provides a control method for an automotive thermal management system, which is applied to a vehicle controller of a target vehicle, comprising:

[0006] Receiving a vehicle thermal management system activation instruction carrying a predicted user boarding time from an onboard telematics processor of a target vehicle; wherein the vehicle thermal management system activation instruction is sent by the onboard telematics processor to the vehicle controller when the current time reaches the predicted vehicle thermal management system activation time; the predicted activation time is predicted by a cloud server based on the predicted user boarding time, environmental status information, and system activation information of the vehicle thermal management system;

[0007] In response to a vehicle thermal management system startup instruction, obtaining a startup time required for the vehicle thermal management system of the target vehicle to meet a preset condition based on sensor data collected by an onboard sensor of the target vehicle and system startup information of the vehicle thermal management system;

[0008] Based on the current time, startup duration and predicted user boarding time, the vehicle thermal management system of the target vehicle is controlled and started.

[0009] In conjunction with the first aspect, in one embodiment, controlling and starting a vehicle thermal management system of a target vehicle based on the current time, the startup duration, and the predicted user boarding time includes:

[0010] Construct a duration threshold based on the current time and predicted user boarding time;

[0011] When the startup duration is less than or equal to the duration threshold, the vehicle thermal management system of the target vehicle is controlled to start, and the vehicle usage behavior information of the target vehicle is returned to the cloud server.

[0012] In conjunction with the first aspect, in one embodiment, the method further includes:

[0013] When the startup time is longer than the time threshold, the delayed startup time of the vehicle thermal management system is obtained based on the current time, the predicted user boarding time and the startup time;

[0014] Sending a delayed start time to the vehicle telematics processor, and receiving a new vehicle thermal management system start instruction resent by the vehicle telematics processor after the current time has elapsed the delayed start time;

[0015] In response to a new vehicle thermal management system startup instruction, the vehicle thermal management system of the target vehicle is controlled to start, and the vehicle usage behavior information of the target vehicle is returned to the cloud server.

[0016] In conjunction with the first aspect, in one embodiment, the automotive thermal management system includes a passenger compartment air conditioning system;

[0017] Receiving a vehicle thermal management system activation instruction from a target vehicle's onboard telematics processor, which carries a predicted time for a user to get on the vehicle, including:

[0018] receiving a passenger compartment air conditioning start-up instruction carrying a predicted user boarding time from an onboard telematics processor of a target vehicle; wherein the vehicle thermal management system start-up instruction is sent by the onboard telematics processor to the vehicle controller when the current time reaches the predicted first start-up time of the passenger compartment air conditioning system; the predicted first start-up time is predicted by a cloud server based on the predicted user boarding time, environmental status information, and system start-up information of the passenger compartment air conditioning system;

[0019] In response to a vehicle thermal management system startup instruction, based on sensor data collected by an onboard sensor of the target vehicle and system startup information of the vehicle thermal management system, a startup time required for the vehicle thermal management system of the target vehicle to reach a preset condition is obtained, including:

[0020] In response to a passenger compartment air conditioning system activation instruction, acquiring sensor data collected by each of an image sensor, a temperature sensor, a humidity sensor, a sunlight sensor, and a rain sensor of the target vehicle;

[0021] obtaining, based on the sensor data and the system startup information of the passenger compartment air conditioning system, a first startup time required for the internal temperature of the passenger compartment of the target vehicle to reach a preset first temperature when the passenger compartment air conditioning system of the target vehicle is in operation;

[0022] Based on the current time, startup duration, and predicted user boarding time, the vehicle thermal management system of the target vehicle is controlled and started, including:

[0023] Based on the current time, the first startup duration and the predicted user boarding time, the passenger compartment air conditioning system of the target vehicle is controlled and started.

[0024] In conjunction with the first aspect, in one embodiment, after controlling and starting the passenger compartment air conditioning system of the target vehicle, the method further includes:

[0025] Upon receiving an unlock signal or a door opening signal within a preset time window, obtaining a current interior temperature of the passenger compartment of the target vehicle;

[0026] Based on the current interior temperature and the preset first temperature, determine whether to continue operating the passenger compartment air conditioning system.

[0027] In conjunction with the first aspect, in one embodiment, determining whether to continue operating the passenger cabin air conditioning system based on the current interior temperature and a preset first temperature includes:

[0028] When the current internal temperature reaches a preset first temperature, controlling the passenger compartment air conditioning system to stop operating and controlling the passenger compartment air conditioning system to return to the last started state;

[0029] When the current internal temperature has not reached the preset first temperature, an inquiry is initiated to the user through the large screen of the target vehicle, and the passenger compartment air-conditioning system is controlled to continue to operate or to return to the last startup state based on the inquiry result.

[0030] In conjunction with the first aspect, in one embodiment, after the passenger cabin air conditioning system returns to the last startup state, the method includes:

[0031] When the last startup state does not match the current environment of the target vehicle, the passenger compartment air conditioning system is controlled to retain the current startup state.

[0032] In conjunction with the first aspect, in one embodiment, after controlling and starting the passenger compartment air conditioning system of the target vehicle, the method further includes:

[0033] When the ambient temperature of the environment in which the target vehicle is located is greater than the first ambient temperature, controlling the passenger compartment air conditioning system to enter an automatic operation mode;

[0034] When the ambient temperature is lower than the second ambient temperature, if it is determined based on the sensor data collected by the image sensor, the humidity sensor, the temperature sensor, and the rain sensor that the windshield of the target vehicle is fogged, the passenger compartment air conditioning system is controlled to enter a defogging mode; and the second ambient temperature is lower than the first ambient temperature.

[0035] When the ambient temperature is greater than or equal to the second ambient temperature and less than or equal to the first ambient temperature, the passenger compartment air-conditioning system is controlled to enter the ventilation mode, and when it is determined based on the sensor data collected by the image sensor, the humidity sensor, the temperature sensor and the rain sensor that the windshield of the target vehicle is fogged, and the vehicle interior temperature collected by the temperature sensor is greater than the first ambient temperature, the passenger compartment air-conditioning system is controlled to start the compressor for cooling or dehumidification.

[0036] In conjunction with the first aspect, in one embodiment, the vehicle thermal management system includes a battery thermal management system;

[0037] Receiving a vehicle thermal management system activation instruction from a target vehicle's onboard telematics processor, which carries a predicted time for a user to get on the vehicle, including:

[0038] receiving a battery thermal management system activation instruction carrying a predicted user boarding time from an onboard telematics processor of a target vehicle; wherein the battery thermal management system activation instruction is sent by the onboard telematics processor to the vehicle controller when the current time reaches the predicted battery thermal management system activation time; the predicted activation time is predicted by a cloud server based on the predicted user boarding time, environmental status information, and system activation information of the battery thermal management system;

[0039] In response to a vehicle thermal management system startup instruction, based on sensor data collected by an onboard sensor of the target vehicle and system startup information of the vehicle thermal management system, a startup time required for the vehicle thermal management system of the target vehicle to reach a preset condition is obtained, including:

[0040] In response to a battery thermal management system activation instruction, obtaining sensor data collected by an external temperature sensor and a battery cell temperature sensor of the target vehicle;

[0041] Obtaining, based on the sensor data and the system startup information of the battery thermal management system, a second startup time required for a battery cell temperature of the target vehicle to reach a preset second temperature when the battery thermal management system of the target vehicle is running;

[0042] Based on the current time, startup duration, and predicted user boarding time, the vehicle thermal management system of the target vehicle is controlled and started, including:

[0043] Based on the current time, the second startup duration and the predicted user boarding time, the battery thermal management system of the target vehicle is controlled and started.

[0044] In combination with the first aspect, in one embodiment, after controlling and starting the battery thermal management system of the target vehicle, the method further includes:

[0045] Get the current battery cell temperature of the target vehicle's battery;

[0046] When the current battery cell temperature reaches a preset second temperature, controlling the battery thermal management system to stop operating;

[0047] When the current battery cell temperature does not reach the preset second temperature, the battery thermal management system is controlled to continue operating.

[0048] In a second aspect, the present application also provides a control method for an automotive thermal management system, which is applied to a cloud server and includes:

[0049] Obtain the predicted user boarding time of the target vehicle, system startup information of the vehicle thermal management system, and environmental status information;

[0050] The predicted startup time of the vehicle thermal management system is obtained based on the predicted user boarding time, environmental status information, and system startup information of the vehicle thermal management system;

[0051] Sending the predicted user boarding time and the predicted start time to the target vehicle's onboard telematics processor; when the current time reaches the predicted start time, generating a vehicle thermal management system start instruction through the onboard telematics processor and sending it to the target vehicle's vehicle controller; the vehicle thermal management system start instruction carries the predicted user boarding time;

[0052] Among them, the vehicle controller is used to respond to the vehicle thermal management system startup instruction, and obtain the startup time required for the vehicle thermal management system of the target vehicle to reach the preset conditions based on the sensor data collected by the on-board sensors of the target vehicle and the system startup information of the vehicle thermal management system, and control the startup of the vehicle thermal management system of the target vehicle based on the current time, startup time and predicted user boarding time.

[0053] In conjunction with the second aspect, in one embodiment, obtaining a predicted user boarding time of a target vehicle includes:

[0054] Obtain the historical vehicle usage behavior information associated with the target vehicle, and make a prediction based on the historical vehicle usage behavior information to obtain the predicted user boarding time of the target vehicle;

[0055] Or obtain the user's vehicle usage behavior information set for the target vehicle from the target vehicle's large screen or the user terminal associated with the target vehicle, and obtain the predicted user boarding time of the target vehicle based on the vehicle usage behavior information;

[0056] Or, based on the historical vehicle usage behavior information associated with the target vehicle and the vehicle usage behavior information set for the target vehicle, the predicted user boarding time of the target vehicle is obtained.

[0057] In a third aspect, the present application also provides a control method for an automotive thermal management system, which is applied to an onboard telematics processor of a target vehicle, comprising:

[0058] Receiving the predicted user boarding time and the predicted start time of the vehicle thermal management system from the cloud server; the predicted start time is predicted by the cloud server based on the predicted user boarding time, environmental status information, and system start information of the vehicle thermal management system;

[0059] When the current time reaches the predicted start time, a vehicle thermal management system start instruction carrying the predicted user boarding time is sent to the vehicle controller of the target vehicle; wherein the vehicle controller is used to respond to the vehicle thermal management system start instruction, obtain the start time required for the vehicle thermal management system of the target vehicle to meet the preset conditions based on the sensor data collected by the on-board sensors of the target vehicle and the system start information of the vehicle thermal management system, and control the start of the vehicle thermal management system of the target vehicle based on the current time, the start time and the predicted user boarding time.

[0060] In a fourth aspect, the present application also provides a control system for an automotive thermal management system, the system comprising a cloud server, a vehicle controller of a target vehicle, and an onboard telematics processor;

[0061] a cloud server configured to obtain a predicted user boarding time of a target vehicle, system startup information of a vehicle thermal management system, and environmental status information, perform a prediction based on the predicted user boarding time, environmental status information, and system startup information of the vehicle thermal management system, obtain a predicted startup time of the vehicle thermal management system, and transmit the predicted user boarding time and the predicted startup time to an onboard telematics processor;

[0062] The vehicle telematics processor is configured to send a vehicle thermal management system startup instruction carrying a predicted user boarding time to the vehicle controller when the current time reaches the predicted startup time;

[0063] The vehicle controller is used to respond to the vehicle thermal management system startup instruction, obtain the startup time required for the vehicle thermal management system of the target vehicle to reach the preset conditions based on the sensor data collected by the on-board sensors of the target vehicle and the system startup information of the vehicle thermal management system; based on the current time, startup time and predicted user boarding time, control the startup of the vehicle thermal management system of the target vehicle.

[0064] In a fifth aspect, the present application further provides a control device for an automotive thermal management system, which is applied to a vehicle controller of a target vehicle, comprising:

[0065] a command receiving module, configured to receive a vehicle thermal management system activation command carrying a predicted user boarding time, sent by the onboard telematics processor of the target vehicle; wherein the vehicle thermal management system activation command is sent by the onboard telematics processor to the vehicle controller when the current time reaches the predicted vehicle thermal management system activation time; the predicted activation time is predicted by the cloud server based on the predicted user boarding time, environmental status information, and system activation information of the vehicle thermal management system;

[0066] a command response module, configured to respond to a vehicle thermal management system startup command and obtain a startup time required for the vehicle thermal management system of the target vehicle to meet preset conditions based on sensor data collected by the onboard sensors of the target vehicle and system startup information of the vehicle thermal management system;

[0067] The system control module is used to control the vehicle thermal management system of the target vehicle based on the current time, startup duration and predicted user boarding time.

[0068] In a sixth aspect, the present application further provides a control device for an automobile thermal management system, which is applied to a cloud server and includes:

[0069] An acquisition module is used to obtain the predicted user boarding time of the target vehicle, system startup information of the vehicle thermal management system, and environmental status information;

[0070] A prediction module is used to predict the time when the user gets on the vehicle, environmental status information, and system startup information of the vehicle thermal management system to obtain the predicted startup time of the vehicle thermal management system;

[0071] A time sending module is used to send the predicted user boarding time and the predicted start time to the onboard telematics processor of the target vehicle; when the current time reaches the predicted start time, the onboard telematics processor generates and sends a vehicle thermal management system start instruction to the vehicle controller of the target vehicle; the vehicle thermal management system start instruction carries the predicted user boarding time;

[0072] Among them, the vehicle controller is used to respond to the vehicle thermal management system startup instruction, and obtain the startup time required for the vehicle thermal management system of the target vehicle to reach the preset conditions based on the sensor data collected by the on-board sensors of the target vehicle and the system startup information of the vehicle thermal management system, and control the startup of the vehicle thermal management system of the target vehicle based on the current time, startup time and predicted user boarding time.

[0073] In a seventh aspect, the present application further provides a control device for an automotive thermal management system, which is applied to an onboard telematics processor of a target vehicle, comprising:

[0074] A time receiving module is used to receive the predicted user boarding time and the predicted start time of the vehicle thermal management system from the cloud server; the predicted start time is predicted by the cloud server based on the predicted user boarding time, environmental status information, and system start information of the vehicle thermal management system;

[0075] An instruction sending module is used to send a vehicle thermal management system startup instruction carrying a predicted user boarding time to the vehicle controller of the target vehicle when the current time reaches the predicted startup time; wherein the vehicle controller is used to respond to the vehicle thermal management system startup instruction, obtain the startup time required for the vehicle thermal management system of the target vehicle to meet preset conditions based on the sensor data collected by the on-board sensors of the target vehicle and the system startup information of the vehicle thermal management system, and control the startup of the vehicle thermal management system of the target vehicle based on the current time, the startup time and the predicted user boarding time.

[0076] In an eighth aspect, the present application further provides a vehicle, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0077] Receiving a vehicle thermal management system activation instruction carrying a predicted user boarding time from an onboard telematics processor of a target vehicle; wherein the vehicle thermal management system activation instruction is sent by the onboard telematics processor to the vehicle controller when the current time reaches the predicted vehicle thermal management system activation time; the predicted activation time is predicted by a cloud server based on the predicted user boarding time, environmental status information, and system activation information of the vehicle thermal management system;

[0078] In response to a vehicle thermal management system startup instruction, obtaining a startup time required for the vehicle thermal management system of the target vehicle to meet a preset condition based on sensor data collected by an onboard sensor of the target vehicle and system startup information of the vehicle thermal management system;

[0079] Based on the current time, startup duration and predicted user boarding time, the vehicle thermal management system of the target vehicle is controlled and started.

[0080] In a ninth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the following steps:

[0081] Receiving a vehicle thermal management system activation instruction carrying a predicted user boarding time from an onboard telematics processor of a target vehicle; wherein the vehicle thermal management system activation instruction is sent by the onboard telematics processor to the vehicle controller when the current time reaches the predicted vehicle thermal management system activation time; the predicted activation time is predicted by a cloud server based on the predicted user boarding time, environmental status information, and system activation information of the vehicle thermal management system;

[0082] In response to a vehicle thermal management system startup instruction, obtaining a startup time required for the vehicle thermal management system of the target vehicle to meet a preset condition based on sensor data collected by an onboard sensor of the target vehicle and system startup information of the vehicle thermal management system;

[0083] Based on the current time, startup duration and predicted user boarding time, the vehicle thermal management system of the target vehicle is controlled and started.

[0084] In a tenth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the following steps:

[0085] Receiving a vehicle thermal management system activation instruction carrying a predicted user boarding time from an onboard telematics processor of a target vehicle; wherein the vehicle thermal management system activation instruction is sent by the onboard telematics processor to the vehicle controller when the current time reaches the predicted vehicle thermal management system activation time; the predicted activation time is predicted by a cloud server based on the predicted user boarding time, environmental status information, and system activation information of the vehicle thermal management system;

[0086] In response to a vehicle thermal management system startup instruction, obtaining a startup time required for the vehicle thermal management system of the target vehicle to meet a preset condition based on sensor data collected by an onboard sensor of the target vehicle and system startup information of the vehicle thermal management system;

[0087] Based on the current time, startup duration and predicted user boarding time, the vehicle thermal management system of the target vehicle is controlled and started.

[0088] The above-mentioned vehicle thermal management system control method, system, device, vehicle, computer-readable storage medium and computer program product predict the predicted start-up time of the vehicle thermal management system based on the predicted user boarding time, environmental status information and system startup information of the vehicle thermal management system through a cloud server. When the current time reaches the predicted start-up time, the on-board remote information processor of the target vehicle generates an automobile thermal management system startup instruction carrying the predicted user boarding time and sends it to the vehicle controller of the target vehicle. The vehicle controller responds to the automobile thermal management system startup instruction, obtains the startup time required for the vehicle thermal management system of the target vehicle to meet preset conditions based on the sensor data collected by the on-board sensors of the target vehicle and the system startup information of the automobile thermal management system, and finally controls the startup of the vehicle thermal management system of the target vehicle based on the current time, startup time and predicted user boarding time. The predicted startup time of the vehicle thermal management system is obtained through the cloud server, and after the current time reaches the predicted startup time, the vehicle thermal management system startup instruction carrying the predicted user boarding time is received from the on-board remote information processor. The system responds to the vehicle thermal management system startup instruction, obtains the corresponding startup duration of the system based on the sensor data collected by the on-board sensor, and finally controls the startup of the vehicle thermal management system of the target vehicle according to the current time, startup duration and predicted user boarding time. The subsequent startup of the vehicle thermal management system is executed by responding to the vehicle thermal management system startup instruction generated based on the predicted startup time, thereby ensuring the timeliness of system control. At the same time, the pre-system control startup optimizes the vehicle interior environment, thereby improving the user's comfort in the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0089] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0090] Figure 1 This is a diagram of an application environment of a control method for an automobile thermal management system in one embodiment;

[0091] Figure 2 1 is a flow chart of a control method for an automobile thermal management system according to an embodiment;

[0092] Figure 3 A schematic flow chart of a control method for an automobile thermal management system in another embodiment;

[0093] Figure 4 A schematic flow chart of a control method for an automobile thermal management system according to another embodiment;

[0094] Figure 5 A schematic diagram of a control system framework of an automotive thermal management system according to an embodiment;

[0095] Figure 6 A diagram showing the main hardware structure of a control method for an automobile thermal management system in one embodiment;

[0096] Figure 7 A function setting option block diagram of a control method for an automobile thermal management system according to another embodiment;

[0097] Figure 8 A functional implementation block diagram of a control method for an automobile thermal management system according to an embodiment;

[0098] Figure 9a is a flow chart of a method for controlling a passenger cabin air conditioning system in another embodiment;

[0099] Figure 9b 1 is a flow chart of a method for controlling a battery thermal management system according to an embodiment;

[0100] Figure 10 A schematic diagram of a first-time use of a vehicle input plan in one embodiment;

[0101] Figure 11 A schematic diagram of a process for a vehicle controller to start the vehicle air conditioner in another embodiment;

[0102] Figure 12 is a structural block diagram of a control device for an automobile thermal management system in one embodiment;

[0103] Figure 13 is a structural block diagram of a control device for an automobile thermal management system in another embodiment;

[0104] Figure 14 is a structural block diagram of a control device for an automobile thermal management system in yet another embodiment;

[0105] Figure 15 FIG. 1 is a diagram of the internal structure of a vehicle in one embodiment. DETAILED DESCRIPTION

[0106] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0107] There are two main intelligent control methods for automotive air conditioners in the industry: remote start / shutdown and automatic start / shutdown based on the passenger compartment air temperature.

[0108] The remote start / shutdown function requires manual operation in advance through the app or remote key, which is time-sensitive and inefficient. It is also easy to forget to turn on the air conditioner in advance. The level of intelligence is insufficient and the user experience is poor.

[0109] The air conditioning system automatically starts / shuts down according to the cabin air temperature. The system consumes a lot of energy, and repeated startup / shutdown can lead to reduced component life.

[0110] The control method of the automotive thermal management system provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown, the target vehicle communicates with the cloud server 104 via the network. The target vehicle includes a vehicle controller 102 and an on-board telematics processor 106. The target vehicle is integrated with multiple on-board sensors and equipped with a vehicle thermal management system. Furthermore, it is integrated with a large screen to enable human-vehicle interaction. Users can set corresponding control functions through the large screen or a mobile phone app. The on-board sensors include an outside temperature sensor, an inside temperature sensor, a sunlight sensor, a front camera, a humidity sensor, a rain sensor, and the like. The data storage system can store data that the cloud server 104 needs to process. The data storage system can be integrated with the cloud server 104 or placed on the cloud or other network servers.

[0111] The cloud server 104 performs a time prediction based on the predicted user boarding time, environmental status information, and vehicle thermal management system startup information to obtain a predicted vehicle thermal management system startup time. The cloud server 104 transmits the predicted startup time to the target vehicle's onboard telematics processor 106. The onboard telematics processor then initiates time monitoring. When the current time reaches the predicted startup time, the onboard telematics processor generates a vehicle thermal management system startup instruction carrying the predicted user boarding time and transmits it to the target vehicle's vehicle controller 102. The vehicle controller 102 receives the vehicle thermal management system startup instruction carrying the predicted user boarding time and, in response to the vehicle thermal management system startup instruction, determines the startup time required for the target vehicle's vehicle thermal management system to meet preset conditions based on sensor data collected by the target vehicle's onboard sensors and vehicle thermal management system startup information. Finally, based on the current time, startup time, and predicted user boarding time, the cloud server 104 controls the startup of the target vehicle's vehicle thermal management system. The cloud server 104 can be a standalone physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server providing cloud computing services.

[0112] In an exemplary embodiment, Figure 2 As shown, a control method for an automobile thermal management system is provided, and the method is applied to Figure 1Taking the vehicle controller 102 of the target vehicle as an example, the following steps S201 to S203 are included.

[0113] Step S201, receiving the vehicle thermal management system startup instruction carrying the predicted user boarding time sent by the on-board telematics processor of the target vehicle; wherein, the vehicle thermal management system startup instruction is sent by the on-board telematics processor to the vehicle controller when the current time reaches the predicted startup time of the vehicle thermal management system; the predicted startup time is predicted by the cloud server based on the predicted user boarding time, environmental status information and system startup information of the vehicle thermal management system.

[0114] The on-board telematics processor can be understood as an electronic control unit or integrated system that receives, processes, and transmits various information within the vehicle. The vehicle controller can be understood as the central control unit that manages and coordinates the vehicle's various subsystems. Environmental status information can be understood as a series of natural factors that may affect the vehicle's startup, such as natural environmental information and natural meteorological data. System startup information can be understood as information reflecting the startup capability of the vehicle's thermal management system, which may include the operating status and operation of the vehicle's thermal management system. The vehicle thermal management system can be understood as a comprehensive management system for controlling and regulating the temperature of the vehicle's interior and key components.

[0115] Exemplarily, the cloud server 104 performs a prediction based on the predicted user boarding time, the environment in which the target vehicle is parked, and the weather forecast information of the target vehicle's area, and the system startup information of the vehicle thermal management system. That is, it estimates how long the vehicle thermal management system needs to be started before the user gets on the vehicle to meet the user's comfortable car experience. The predicted user boarding time is subtracted from the startup time of the vehicle thermal management system to obtain the predicted startup time of the vehicle thermal management system, and the result is sent to the on-board telematics processor 106 of the target vehicle. The on-board telematics processor 106 performs time monitoring. When the current time reaches the predicted startup time of the vehicle thermal management system, it generates a vehicle thermal management system startup instruction carrying the predicted user boarding time and sends it to the vehicle controller 102 of the target vehicle. The vehicle controller 102 receives the vehicle thermal management system startup instruction.

[0116] Based on the aforementioned implementation method, the cloud server combines the user's boarding time, environmental weather information and the startup information of the target vehicle to predict and adjust the startup time of the thermal management system in advance. The on-board telematics processor of the target vehicle performs time monitoring and generates a startup instruction. The vehicle controller of the target vehicle only needs to wait for the corresponding instruction to be input, which greatly reduces the amount of startup that the vehicle controller needs to process, thereby increasing the startup cost of the vehicle controller, and laying a data foundation for subsequent response to the vehicle thermal management system startup instruction and execution of the vehicle thermal management system to start the target vehicle.

[0117] Step S202 , in response to the vehicle thermal management system startup instruction, obtain the startup time required for the vehicle thermal management system of the target vehicle to meet preset conditions based on the sensor data collected by the onboard sensor of the target vehicle and the system startup information of the vehicle thermal management system.

[0118] Among them, on-board sensors can be understood as sensor devices that collect various physical information of the vehicle and its surrounding environment. The preset conditions can be understood as the vehicle's own starting state reaching the best, or the user-perceivable external state achieved by the vehicle after the vehicle is started, so that the user's car experience is optimal. The startup time can be understood as the startup time required for the automotive thermal management system to start when the vehicle meets the preset conditions.

[0119] In an exemplary embodiment, the vehicle controller 102 responds to the vehicle thermal management system startup instruction, obtains the sensor data collected by each on-board sensor of the target vehicle, and performs calculations based on the various sensor data and the system startup information of the vehicle thermal management system to obtain the startup time required for the corresponding internal workpiece of the vehicle to reach the optimal state after the vehicle thermal management system of the target vehicle is started, or the startup time required for the temperature inside the vehicle to reach the most suitable temperature.

[0120] According to the above embodiment, by utilizing the real-time data collected by the vehicle-mounted sensors and combining it with the system startup information, the controller can accurately evaluate the startup time required for each workpiece or environment inside the target vehicle to reach the ideal startup state, thereby improving the accuracy of the acquired startup time, and thus ensuring the startup accuracy of the vehicle thermal management system, avoiding early or delayed startup that affects the user's car experience, and ensuring the timeliness of system control.

[0121] Step S203 , based on the current time, the startup duration, and the predicted time when the user gets on the vehicle, control the vehicle thermal management system of the target vehicle to start.

[0122] Exemplarily, the vehicle controller 102 uses the current time, the predicted user boarding time and the pre-set time limit to construct a startup time threshold, and compares the startup time with the startup time threshold. When the startup time is less than or equal to the startup time threshold, it means that the current predicted startup time setting for the vehicle thermal management system is reasonable, and the vehicle thermal management system can be started; when the startup time is greater than the startup time threshold, it means that the current predicted startup time for the vehicle thermal management system is unreasonable, that is, if the vehicle management system is started, the preset conditions will be met a long time before the user officially gets on the vehicle, and subsequent maintenance of the conditions will consume excess costs. Therefore, it is necessary to calculate the delayed startup time corresponding to the vehicle thermal management system based on the predicted user boarding time, the current time, the time limit and the startup time. After the current time has passed the delayed startup time, the vehicle thermal management system startup instruction resent by the on-board telematics processor 106 is received to control the startup of the vehicle thermal management system.

[0123] Based on the aforementioned implementation method, by establishing a startup time threshold (the threshold value is jointly determined by the current time, the predicted user boarding time and the preset time limit), the system can judge the rationality of the current predicted startup time in real time, ensuring that the thermal management system starts at the most appropriate time, avoiding energy waste and discomfort caused by early or delayed startup, improving the user's car experience and ensuring the timeliness of system control.

[0124] In the above-mentioned control method of the automobile thermal management system, the predicted start-up time of the automobile thermal management system is predicted by the cloud server based on the predicted user boarding time, environmental status information and system start-up information of the automobile thermal management system. When the current time reaches the predicted start-up time, the on-board remote information processor of the target vehicle generates an automobile thermal management system start-up instruction carrying the predicted user boarding time and sends it to the vehicle controller of the target vehicle. The vehicle controller responds to the automobile thermal management system start-up instruction, obtains the start-up time required for the automobile thermal management system of the target vehicle to meet the preset conditions based on the sensor data collected by the on-board sensors of the target vehicle and the system start-up information of the automobile thermal management system, and finally controls the start-up of the automobile thermal management system of the target vehicle based on the current time, the start-up time and the predicted user boarding time. The predicted startup time of the vehicle thermal management system is obtained through the cloud server, and after the current time reaches the predicted startup time, the vehicle thermal management system startup instruction carrying the predicted user boarding time is received from the on-board remote information processor. The system responds to the vehicle thermal management system startup instruction, obtains the corresponding startup duration of the system based on the sensor data collected by the on-board sensor, and finally controls the startup of the vehicle thermal management system of the target vehicle according to the current time, startup duration and predicted user boarding time. The subsequent startup of the vehicle thermal management system is executed by responding to the vehicle thermal management system startup instruction generated based on the predicted startup time, thereby ensuring the timeliness of system control. At the same time, the pre-system control startup optimizes the vehicle interior environment, thereby improving the user's comfort in the vehicle.

[0125] In one embodiment, a vehicle thermal management system includes a passenger compartment air conditioning system; receiving a vehicle thermal management system activation instruction carrying a predicted user boarding time from an onboard telematics processor of a target vehicle includes: receiving a passenger compartment air conditioning activation instruction carrying the predicted user boarding time from the onboard telematics processor of the target vehicle; wherein the vehicle thermal management system activation instruction is sent by the onboard telematics processor to a vehicle controller when the current time reaches a predicted first activation time of the passenger compartment air conditioning system; the predicted first activation time is predicted by a cloud server based on the predicted user boarding time, environmental status information, and system activation information of the passenger compartment air conditioning system;

[0126] In response to a vehicle thermal management system startup instruction, obtaining a startup time required for the vehicle thermal management system of the target vehicle to reach a preset condition based on sensor data collected by on-board sensors of the target vehicle and system startup information of the vehicle thermal management system, including: in response to a passenger compartment air conditioning system startup instruction, obtaining sensor data collected by each of an image sensor, a temperature sensor, a humidity sensor, a sunlight sensor, and a rain sensor of the target vehicle; and obtaining a first startup time required for the internal temperature of the passenger compartment of the target vehicle to reach a preset first temperature when the passenger compartment air conditioning system of the target vehicle is in operation based on the sensor data and the system startup information of the passenger compartment air conditioning system;

[0127] Based on the current time, the startup duration and the predicted time when the user gets on the vehicle, the vehicle thermal management system of the target vehicle is controlled to be started, including: based on the current time, the first startup duration and the predicted time when the user gets on the vehicle, the passenger compartment air conditioning system of the target vehicle is controlled to be started.

[0128] Among them, the passenger compartment air-conditioning system can be understood as a system for regulating and controlling the air temperature, humidity and air quality in the passenger compartment of the vehicle. The image sensor can be understood as the front camera of the target vehicle, which collects visual information in front of the vehicle. The temperature sensor can be understood as a sensor for collecting temperature, which may include an external temperature sensor for collecting ambient temperature, an internal temperature sensor for collecting internal temperature, and a battery temperature sensor for collecting cell temperature. The humidity sensor can be understood as a sensor for collecting air humidity, which may include an external humidity sensor for collecting ambient humidity, an internal humidity sensor for collecting internal humidity, etc. The sunlight sensor can be understood as a sensor for collecting light intensity, and the rain sensor can be understood as a sensor for collecting rain signals. The preset first temperature can be understood as a temperature that makes the user sitting in the car feel comfortable.

[0129] In an exemplary embodiment, when executing control over the passenger compartment air conditioning system in the automotive thermal management system, the cloud server 104 performs a prediction based on the predicted user boarding time, the environment in which the target vehicle is parked, and weather forecast information for the target vehicle's area, as well as system startup information for the passenger compartment air conditioning system. Specifically, the cloud server 104 estimates how long the passenger compartment air conditioning system needs to be started before the user boards the vehicle to provide a comfortable driving experience for the user. The predicted startup time of the passenger compartment air conditioning system is obtained by subtracting the startup time of the passenger compartment air conditioning system from the predicted user boarding time. The predicted startup time of the passenger compartment air conditioning system is then sent to the onboard telematics processor 106 of the target vehicle. The onboard telematics processor 106 performs time monitoring. When the current time reaches the predicted startup time of the automotive thermal management system, the onboard telematics processor 106 generates a passenger compartment air conditioning system startup instruction carrying the predicted user boarding time and sends the instruction to the vehicle controller 102 of the target vehicle. The vehicle controller 102 receives the passenger compartment air conditioning system startup instruction.

[0130] In response to a passenger compartment air conditioning system startup instruction, acquiring image data captured by an image sensor of the target vehicle, the outside temperature and the inside temperature captured by a temperature sensor, the outside humidity and the inside humidity captured by a humidity sensor, the light intensity captured by a sunlight sensor, and the rainfall data captured by a rainfall sensor; and calculating, based on the image data, the outside temperature, the inside temperature, the outside humidity, the inside humidity, the light intensity, and the rainfall data, and system startup information of the passenger compartment air conditioning system, a first startup time required for the internal temperature of the passenger compartment of the target vehicle to reach a preset first temperature (i.e., a temperature comfortable for a human body) when the passenger compartment air conditioning system of the target vehicle is in operation;

[0131] The vehicle controller 102 uses the current time, the predicted user boarding time and the pre-set time limit to construct a startup time threshold, and compares the first startup time with the startup time threshold. When the first startup time is less than or equal to the startup time threshold, it means that the current predicted startup time setting for the passenger compartment air-conditioning system is reasonable, and the passenger compartment air-conditioning system can be started; when the first startup time is greater than the startup time threshold, it means that the current predicted startup time for the passenger compartment air-conditioning system is unreasonable, that is, if the passenger compartment air-conditioning system is started, the preset conditions will be met a long time before the user officially gets on the vehicle, and subsequent maintenance of the conditions will consume excess costs. Therefore, it is necessary to calculate the first delayed startup time corresponding to the passenger compartment air-conditioning system based on the predicted user boarding time, the current time, the time limit and the startup time. After the current time has passed the first delayed startup time, the passenger compartment air-conditioning system startup instruction resent by the on-board telematics processor 106 is received to control the startup of the passenger compartment air-conditioning system.

[0132] According to the aforementioned embodiment, the predicted start-up time of the passenger compartment air-conditioning system is obtained through the cloud server, and after the current time reaches the predicted start-up time, the on-board remote information processor receives the passenger compartment air-conditioning system start-up instruction carrying the predicted user boarding time, responds to the passenger compartment air-conditioning system start-up instruction, obtains the first start-up duration corresponding to the system based on the sensor data collected by the on-board sensor, and finally controls the start-up of the passenger compartment air-conditioning system of the target vehicle according to the current time, the first start-up duration and the predicted user boarding time, and executes the subsequent start-up of the passenger compartment air-conditioning system by responding to the passenger compartment air-conditioning system start-up instruction generated according to the predicted start-up time, thereby ensuring the timeliness of the passenger compartment air-conditioning system control. At the same time, the pre-system control start-up optimizes the temperature environment in the vehicle, thereby improving the user's comfort in using the vehicle.

[0133] In one embodiment, after controlling the start of the passenger compartment air conditioning system of the target vehicle, the method further includes: obtaining the current internal temperature of the passenger compartment of the target vehicle when an unlocking signal or a door opening signal is received within a preset time window; and determining whether to continue running the passenger compartment air conditioning system based on the current internal temperature and the preset first temperature.

[0134] Exemplarily, after controlling and starting the passenger compartment air-conditioning system of the target vehicle, within a preset operating time window of the passenger compartment air-conditioning system, if the vehicle controller 102 detects a door opening signal or an unlocking signal from the air-conditioning remote control, the vehicle controller 102 obtains the current internal temperature of the passenger compartment of the target vehicle, and based on a comparison relationship between the current internal temperature and a preset first temperature (i.e., a temperature at which the human body feels comfortable), if the current internal temperature reaches the preset first temperature, the passenger compartment air-conditioning system is stopped from continuing to operate; if the current internal temperature does not reach the preset first temperature, the passenger compartment air-conditioning system is controlled to continue to operate, including: if the current internal temperature is lower than the preset first temperature, the passenger compartment air-conditioning system is controlled to continue to heat the air, or if the current internal temperature is higher than the preset first temperature, the passenger compartment air-conditioning system is controlled to continue to cool the air.

[0135] Based on the above implementation, by real-time monitoring of the temperature inside the passenger compartment and comparing it with the preset comfort temperature (first temperature), the air-conditioning system is ensured to stop or continue to operate at the appropriate time, thereby avoiding unnecessary energy consumption, reducing energy waste in air-conditioning operation, improving the overall energy efficiency of the vehicle, and ensuring the user's best car experience.

[0136] In one embodiment, whether to continue to operate the passenger compartment air-conditioning system is determined based on the current internal temperature and a preset first temperature, including: when the current internal temperature reaches the preset first temperature, controlling the passenger compartment air-conditioning system to stop operating, and controlling the passenger compartment air-conditioning system to return to the last startup state; when the current internal temperature does not reach the preset first temperature, initiating an inquiry to the user through the large screen of the target vehicle, and controlling the passenger compartment air-conditioning system to continue operating or controlling the passenger compartment air-conditioning system to return to the last startup state based on the inquiry result.

[0137] In an exemplary embodiment, when the current interior temperature reaches a preset first temperature (i.e., a temperature at which the human body feels comfortable), it indicates that the interior temperature of the target vehicle has met the human comfort requirement, and the passenger compartment air-conditioning system needs to continue to operate to adjust the interior temperature. The vehicle controller 102 controls the passenger compartment air-conditioning system to stop running, and controls the passenger compartment air-conditioning system to return to the last start-up state and wait for further control. When the current interior temperature does not reach the preset first temperature, the target vehicle's vehicle screen inquires the user whether to return to the last start-up state. When the inquiry result is not to return to the last start-up state, the vehicle controller 102 controls the passenger compartment air-conditioning system to continue running. When the inquiry result is to return to the last start-up state, the vehicle controller 102 controls the member air-conditioning system to return to the last start-up state.

[0138] According to the aforementioned embodiment, when the internal temperature meets the standard, the passenger compartment air-conditioning system is controlled to stop running to avoid ineffective resource consumption. In addition, when the internal temperature does not meet the standard, information is interacted with the user through the large screen of the target vehicle. Based on the user's choice, it is decided whether to continue the current air-conditioning operation or return to the last state, thereby avoiding unnecessary energy consumption, saving energy, improving vehicle energy efficiency, and setting a clear system startup state fallback mechanism to reduce misoperation or unnecessary system switching, thereby ensuring the stability and reliability of the air-conditioning startup process.

[0139] In one embodiment, after the passenger compartment air conditioning system returns to the last startup state, it includes: if the last startup state does not match the current environment of the target vehicle, controlling the passenger compartment air conditioning system to retain the current startup state.

[0140] For example, after the vehicle controller 102 controls the passenger compartment air-conditioning system to return to the last startup state, when the last startup state does not match the current environment of the target vehicle, for example, the last startup state is to perform air heating, and the current environment is the summer with a higher temperature, it is obviously inappropriate to continue the last startup state to cope with the current environment, so the vehicle controller 102 controls the passenger compartment air-conditioning system to retain the current startup state; similarly, the last startup state is to perform air cooling, and the current environment is the winter with a lower temperature, it is obviously inappropriate to continue the last startup state to cope with the current environment, so the vehicle controller 102 controls the passenger compartment air-conditioning system to retain the current startup state.

[0141] Based on the above implementation method, by judging the degree of matching between the last startup status and the current environment, the operation mode of the air-conditioning system is ensured to be consistent with the actual environment, avoiding operations that are not adapted to seasonal or environmental changes, saving energy, reducing unnecessary energy consumption, and improving overall energy efficiency. At the same time, it ensures that the temperature adjustment in the car is closer to actual needs, thereby improving the riding experience.

[0142] In one embodiment, after controlling and starting the passenger compartment air conditioning system of the target vehicle, the method further includes:

[0143] When the ambient temperature of the target vehicle's environment is greater than a first ambient temperature, the passenger compartment air conditioning system is controlled to enter an automatic operation mode; when the ambient temperature is less than a second ambient temperature, if the windshield of the target vehicle is determined to be fogged based on sensor data collected by the image sensor, the humidity sensor, the temperature sensor, and the rain sensor, the passenger compartment air conditioning system is controlled to enter a defogging mode; and the second ambient temperature is lower than the first ambient temperature.

[0144] When the ambient temperature is greater than or equal to the second ambient temperature and less than or equal to the first ambient temperature, the passenger compartment air-conditioning system is controlled to enter the ventilation mode, and when it is determined based on the sensor data collected by the image sensor, the humidity sensor, the temperature sensor and the rain sensor that the windshield of the target vehicle is fogged, and the vehicle interior temperature collected by the temperature sensor is greater than the first ambient temperature, the passenger compartment air-conditioning system is controlled to start the compressor for cooling or dehumidification.

[0145] Among them, the first ambient temperature can be understood as the higher temperature end value based on which the startup mode of the passenger compartment air-conditioning system is selected. Similarly, the second ambient temperature can be understood as the lower temperature end value based on which the startup mode of the crew cabin air-conditioning system is selected.

[0146] In an exemplary embodiment, when the ambient temperature of the target vehicle's environment is greater than a first ambient temperature, the vehicle controller 102 controls the passenger compartment air conditioning system to enter an automatic operation mode. When the ambient temperature is less than a second ambient temperature, the vehicle controller 102 obtains front-vehicle visual information collected by the image sensor, inside-vehicle and outside-vehicle humidity collected by the humidity sensor, inside-vehicle and outside-vehicle temperature collected by the temperature sensor, and a rain signal collected by the rain sensor. If, based on the front-vehicle visual information, inside-vehicle and outside-vehicle humidity, inside-vehicle and outside-vehicle temperature, and rain signal, it is determined that the target vehicle's windshield is fogged, the vehicle controller 102 controls the passenger compartment air conditioning system to enter a defog mode. When the ambient temperature is greater than or equal to the second ambient temperature and less than or equal to the first ambient temperature, the vehicle controller 102 controls the passenger compartment air conditioning system to enter a ventilation mode. Furthermore, if, based on the front-vehicle visual information, inside-vehicle and outside-vehicle humidity, inside-vehicle and outside-vehicle temperature, and rain signal, it is determined that the target vehicle's windshield is fogged, and the inside-vehicle temperature collected by the temperature sensor is greater than the first ambient temperature, the vehicle controller 102 controls the passenger compartment air conditioning system to start a compressor for cooling or dehumidification.

[0147] According to the aforementioned embodiment, under different environmental conditions, the vehicle controller 102 controls the passenger compartment air-conditioning system to reasonably switch the startup mode (such as ventilation mode, cooling, dehumidification, etc.), avoids unnecessary energy consumption, improves energy efficiency, ensures the user's comfort in the car, and thus improves the user's car experience; in addition, the air-conditioning mode (such as ventilation, demisting, cooling or dehumidification) is autonomously adjusted according to the environment and visual perception, reducing the driver's manual operation burden and enhancing the ability of intelligent control.

[0148] In one embodiment, a vehicle thermal management system includes a battery thermal management system; receiving a vehicle thermal management system startup instruction carrying a predicted user boarding time from an onboard telematics processor of a target vehicle, comprising: receiving the battery thermal management system startup instruction carrying the predicted user boarding time from the onboard telematics processor of the target vehicle; wherein the battery thermal management system startup instruction is sent by the onboard telematics processor to a vehicle controller when the current time reaches the predicted startup time of the battery thermal management system; the predicted startup time is predicted by a cloud server based on the predicted user boarding time, environmental status information, and system startup information of the battery thermal management system;

[0149] In response to a vehicle thermal management system startup instruction, based on sensor data collected by onboard sensors of the target vehicle and system startup information of the vehicle thermal management system, obtaining a startup time required for the vehicle thermal management system of the target vehicle to reach a preset condition, including: in response to a battery thermal management system startup instruction, obtaining sensor data collected by an external temperature sensor and a battery cell temperature sensor of the target vehicle; and obtaining, based on the sensor data and the startup information of the battery thermal management system, a second startup time required for the battery cell temperature of the battery of the target vehicle to reach a preset second temperature when the battery thermal management system of the target vehicle is operating;

[0150] Based on the current time, the startup duration and the predicted user boarding time, the vehicle thermal management system of the target vehicle is controlled to be started, including: based on the current time, the second startup duration and the predicted user boarding time, the battery thermal management system of the target vehicle is controlled to be started.

[0151] Among them, the battery thermal management system can be understood as a subsystem used to control the temperature of the vehicle battery pack, the external temperature sensor can be understood as a sensor used to collect the external temperature of the vehicle, the battery cell temperature sensor can be understood as a sensor used to collect the battery cell temperature, and the preset second temperature can be understood as the battery cell temperature for optimal battery operating performance.

[0152] For example, when executing control on the battery thermal management system in the automotive thermal management system, the cloud server 104 performs a prediction based on the predicted user boarding time, the environment in which the target vehicle is parked, and the weather forecast information of the target vehicle's area, as well as the system startup information of the battery thermal management system. That is, it estimates how long the battery thermal management system needs to be started before the user gets on the vehicle to meet the user's comfortable car experience. The predicted user boarding time is subtracted from the startup time of the battery thermal management system to obtain the predicted startup time of the battery thermal management system, and the predicted startup time of the battery thermal management system is sent to the on-board telematics processor 106 of the target vehicle. The on-board telematics processor 106 performs time monitoring. When the current time reaches the predicted startup time of the automotive thermal management system, a battery thermal management system startup instruction carrying the predicted user boarding time is generated and sent to the vehicle controller 102 of the target vehicle. The vehicle controller 102 receives the battery thermal management system startup instruction.

[0153] In response to a battery thermal management system activation instruction, obtaining an outside temperature detected by an outside temperature sensor of the target vehicle and a battery cell temperature detected by a battery cell temperature sensor, and calculating, based on the outside temperature and the battery cell temperature and system activation information of the battery thermal management system, a second activation time required for the internal temperature of the passenger compartment of the target vehicle to reach a preset second temperature (i.e., a temperature comfortable for a human body) when the battery thermal management system of the target vehicle is in operation;

[0154] The vehicle controller 102 uses the current time, the predicted user boarding time and the pre-set time limit to construct a startup time threshold, and compares the second startup time with the startup time threshold. When the second startup time is less than or equal to the startup time threshold, it means that the current predicted startup time setting for the battery thermal management system is reasonable and the battery thermal management system can be started; when the second startup time is greater than the startup time threshold, it means that the current predicted startup time for the battery thermal management system is unreasonable, that is, if the battery thermal management system is started, the preset conditions will be met a long time before the user officially gets on the vehicle, and subsequent maintenance of the conditions will consume excess costs. Therefore, it is necessary to calculate the second delayed startup time corresponding to the battery thermal management system based on the predicted user boarding time, the current time, the time limit and the startup time. After the current time has passed the second delayed startup time, the battery thermal management system startup instruction resent by the on-board telematics processor 106 is received to control the startup of the battery thermal management system.

[0155] Based on the above implementation, the predicted start-up time of the battery thermal management system is obtained through the cloud server, and a battery thermal management system start-up instruction carrying the predicted user boarding time is received from the on-board telematics processor after the current time reaches the predicted start-up time. In response to the battery thermal management system start-up instruction, the second start-up duration corresponding to the system is obtained based on the sensor data collected by the on-board sensor. Finally, the battery thermal management system of the target vehicle is controlled to start according to the current time, the second start-up duration and the predicted user boarding time. The subsequent start-up of the battery thermal management system is executed by responding to the battery thermal management system start-up instruction generated based on the predicted start-up time, thereby ensuring the timeliness of the battery thermal management system control. At the same time, the system control starts in advance to adjust the battery cell temperature to ensure that the battery starts in the optimal state, thereby reducing the ineffective cost consumption of battery startup.

[0156] In one embodiment, after controlling the start of the battery thermal management system of the target vehicle, the method further includes: obtaining the current battery cell temperature of the battery of the target vehicle; when the current battery cell temperature reaches a preset second temperature, controlling the battery thermal management system to stop running; when the current battery cell temperature does not reach the preset second temperature, controlling the battery thermal management system to continue running.

[0157] In an exemplary embodiment, after the vehicle controller 102 controls the start-up of the battery thermal management system of the target vehicle, the vehicle controller 102 continuously obtains the current battery cell temperature of the target vehicle's battery. When the current battery cell temperature reaches a preset second temperature, that is, the current battery's starting performance has reached the optimal level, the vehicle controller 102 controls the battery thermal management system to stop running; when the current battery cell temperature does not reach the preset second temperature, the vehicle controller 102 controls the battery thermal management system to continue running, including: when the current battery cell temperature is lower than the preset second temperature, the vehicle controller 102 controls the battery thermal management system to perform a heating operation on the battery; when the current battery cell temperature is higher than the preset second temperature, the vehicle controller 102 controls the battery thermal management system to perform a cooling operation on the battery.

[0158] According to the aforementioned embodiment, the vehicle controller monitors the temperature in real time to avoid thermal runaway caused by excessively high battery temperature or performance degradation caused by excessively low battery temperature, effectively preventing potential safety risks. When the battery cell temperature does not meet the standard, the battery thermal management system is controlled to perform heating or cooling on the battery so that the battery cell temperature meets the preset second temperature, ensuring that the battery operates within the optimal starting temperature range and maximizing energy output and cycle efficiency.

[0159] In one embodiment, based on the current time, the startup time and the predicted time when the user gets on the vehicle, the vehicle thermal management system of the target vehicle is controlled to start, including: constructing a time threshold according to the current time and the predicted time when the user gets on the vehicle; when the startup time is less than or equal to the time threshold, the vehicle thermal management system of the target vehicle is controlled to start, and the vehicle usage behavior information of the target vehicle is returned to the cloud server.

[0160] The duration threshold can be understood as a judgment condition for determining whether the startup duration meets the time rationality requirement.

[0161] For example, the vehicle controller 102 constructs a duration threshold for the target vehicle based on the current time, the predicted user boarding time, and a pre-set time limit. The passenger compartment air conditioning system and the ignition thermal management system are two parallel, independently controlled systems. For a first startup duration corresponding to the passenger compartment air conditioning system in the vehicle thermal management system, if the first startup duration is less than or equal to the duration threshold, the vehicle controller 102 controls the activation of the passenger compartment air conditioning system of the target vehicle and returns the target vehicle's vehicle usage behavior information to the cloud server 104, so that the cloud server 104 can use this user behavior information to predict the next user boarding time. For a second startup duration corresponding to the battery thermal management system in the vehicle thermal management system, if the second startup duration is less than or equal to the duration threshold, the vehicle controller 102 controls the activation of the battery thermal management system of the target vehicle and returns the target vehicle's vehicle usage behavior information to the cloud server 104, so that the cloud server 104 can use this user behavior information to predict the next user boarding time.

[0162] Based on the above implementation, the system is started under the condition that the first startup or second startup duration does not exceed the threshold, ensuring that the system startup has a reasonable prediction basis, thereby reducing unnecessary energy consumption. After each operation, the vehicle usage behavior information is uploaded to the cloud to provide data for the cloud server for predicting the next user boarding time, and continuously optimizing the prediction model and vehicle response strategy.

[0163] In one embodiment, the method also includes: when the startup time is greater than a time threshold, obtaining the delayed startup time of the vehicle thermal management system based on the current time, the predicted user boarding time and the startup time; sending the delayed startup time to the on-board telematics processor, and receiving a new vehicle thermal management system startup instruction resent by the on-board telematics processor after the current time has passed the delayed startup time; in response to the new vehicle thermal management system startup instruction, controlling the startup of the vehicle thermal management system of the target vehicle, and returning the vehicle usage behavior information of the target vehicle to the cloud server.

[0164] In an exemplary embodiment, for the passenger compartment air conditioning system, when the first startup duration is greater than the duration threshold, it indicates that the current predicted startup time for the passenger compartment air conditioning system is unreasonable, that is, if the passenger compartment air conditioning system is started, the internal temperature will have reached the preset first temperature a long time before the user officially gets on the vehicle, and subsequent maintenance of the conditions will consume excess costs. The vehicle controller 102 obtains a first delayed startup duration of the passenger compartment air conditioning system based on the current time, the predicted user boarding time, the preset time limit, and the startup duration, and sends the first delayed startup duration to the on-board telematics processor 106. The on-board telematics processor 106 resends a new passenger compartment air conditioning system startup instruction after monitoring that the current time has passed the first delayed startup duration. The vehicle controller 102 responds to the new passenger compartment air conditioning system startup instruction, controls the startup of the passenger compartment air conditioning system of the target vehicle, and returns user behavior information of the target vehicle to the cloud server 104, so that the cloud server 104 can use the current user behavior information to predict the next user boarding time.

[0165] For the battery thermal management system, when the second startup time is greater than the time threshold, it means that the current predicted startup time for the battery thermal management system is unreasonable, that is, if the battery thermal management system is started, the battery cell temperature will reach the preset second temperature a long time before the user officially gets on the vehicle, and subsequent maintenance of the conditions will require excess costs. The vehicle controller 102 obtains the second delayed startup time of the battery thermal management system based on the current time, the predicted user boarding time, the preset time limit and the startup time, and sends the second delayed startup time to the on-board telematics processor 106. The on-board telematics processor 106 resends a new battery thermal management system startup instruction after monitoring that the current time has passed the second delayed startup time. The vehicle controller 102 responds to the new battery thermal management system startup instruction, controls the startup of the battery thermal management system of the target vehicle, and returns the user behavior information of the target vehicle to the cloud server 104, so that the cloud server 104 can use the user behavior information this time to predict the next time the user gets on the vehicle.

[0166] According to the aforementioned implementation, by dynamically adjusting the start-up timing of the passenger compartment air conditioning and battery thermal management system, it is ensured that the system will not run in advance to a time point that causes excessive energy consumption, thereby saving energy and reducing costs. In addition, by using information such as the predicted user boarding time and start-up duration, a reasonable delayed start-up duration is dynamically calculated, thereby preparing in advance and avoiding premature start-up, thereby improving the intelligence level of the system.

[0167] In an exemplary embodiment, Figure 3 As shown, a control method for an automobile thermal management system is provided, and the method is applied to Figure 1Taking the cloud server 104 in FIG. 1 as an example, the method includes the following steps S301 to S303.

[0168] Step S301 , obtaining the predicted user boarding time of the target vehicle, system startup information of the vehicle thermal management system, and environmental status information.

[0169] Exemplarily, the cloud server 104 can obtain the vehicle usage behavior information set by the user for the target vehicle through the vehicle screen or the user terminal associated with the target vehicle, and obtain the predicted user boarding time of the target vehicle based on the vehicle usage behavior information, or make a prediction based on the received historical vehicle usage behavior information of the target vehicle to obtain the predicted user boarding time of the target vehicle, or obtain the predicted user boarding time of the target vehicle based on the historical vehicle usage behavior information associated with the target vehicle and the vehicle usage behavior information set for the target vehicle, obtain the system startup information of the vehicle thermal management system, and obtain the environmental status of the target vehicle where the target vehicle is parked, as well as the weather forecast information of the area where the target vehicle is located.

[0170] Based on the above implementation, the cloud server obtains the predicted user boarding time, system startup information of the vehicle thermal management system, and environmental status information, laying a data foundation for the subsequent acquisition of the predicted startup time for the vehicle thermal management system.

[0171] Step S302 , performing a prediction based on the predicted user boarding time, environmental status information, and system startup information of the vehicle thermal management system to obtain a predicted startup time of the vehicle thermal management system.

[0172] In an exemplary embodiment, the cloud server 104 performs a prediction based on the predicted user boarding time, the environment in which the target vehicle is parked, the weather forecast information of the target vehicle's area, and the system startup information of the vehicle thermal management system. That is, it estimates how long the vehicle thermal management system needs to be started before the user gets in the vehicle to meet the user's comfortable car experience, and subtracts the startup time of the vehicle thermal management system from the predicted user boarding time to obtain the predicted startup time of the vehicle thermal management system.

[0173] According to the aforementioned implementation, the cloud estimates the startup time of the thermal management system based on the predicted user boarding time and environmental meteorological information, thereby improving the accuracy of the predicted startup time of the obtained automotive thermal management system, and further ensuring the control accuracy when the predicted startup time is subsequently used to execute system control.

[0174] Step S303: Sending the predicted user boarding time and the predicted start time to the target vehicle's onboard telematics processor; when the current time reaches the predicted start time, generating a vehicle thermal management system start instruction via the onboard telematics processor and sending it to the target vehicle's vehicle controller; the vehicle thermal management system start instruction carries the predicted user boarding time;

[0175] Among them, the vehicle controller is used to respond to the vehicle thermal management system startup instruction, and obtain the startup time required for the vehicle thermal management system of the target vehicle to reach the preset conditions based on the sensor data collected by the on-board sensors of the target vehicle and the system startup information of the vehicle thermal management system, and control the startup of the vehicle thermal management system of the target vehicle based on the current time, startup time and predicted user boarding time.

[0176] Exemplarily, the cloud server 104 sends the predicted user boarding time and the predicted startup time to the onboard telematics processor 106 of the target vehicle, and the onboard telematics processor 106 performs time monitoring. When the current time reaches the predicted startup time, the vehicle controller 102 of the target vehicle initiates a vehicle thermal management system startup instruction carrying the predicted user boarding time. The vehicle controller 102 responds to the vehicle thermal management system startup instruction, obtains the sensor data collected by each onboard sensor of the target vehicle, and calculates based on each sensor data and the system startup information of the vehicle thermal management system to obtain the startup time required for the corresponding internal workpiece of the target vehicle to reach the optimal state after the vehicle thermal management system of the target vehicle is started, or the startup time required for the temperature inside the vehicle to reach the most suitable temperature; the vehicle controller 102 uses the current time, the predicted user boarding time and the pre-set time limit , construct a startup time threshold, compare the startup time with the startup time threshold, when the startup time is less than or equal to the startup time threshold, it means that the current predicted startup time setting for the vehicle thermal management system is reasonable, and the vehicle thermal management system can be started; when the startup time is greater than the startup time threshold, it means that the current predicted startup time for the vehicle thermal management system is unreasonable, that is, if the vehicle management system is started, the preset conditions will be met a long time before the user officially gets on the vehicle, and subsequent maintenance of the conditions will consume excess costs. Therefore, it is necessary to calculate the delayed startup time corresponding to the vehicle thermal management system based on the predicted user boarding time, the current time, the time limit and the startup time, and after the current time has passed the delayed startup time, receive the vehicle thermal management system startup instruction resent by the on-board telematics processor 106 to control the startup of the vehicle thermal management system.

[0177] Based on the above implementation mode, the cloud server sends the predicted start-up time of the vehicle thermal management system and the corresponding predicted boarding time of the target vehicle to the on-board telematics processor of the target vehicle. The on-board telematics processor serves as the command initiation hub, which speeds up the transmission of commands to the vehicle controller. The internal command input helps to ensure the integrity and effectiveness of the commands, thereby improving the timeliness of the system control.

[0178] In one embodiment, obtaining a predicted user boarding time of a target vehicle includes:

[0179] Obtain historical vehicle usage behavior information associated with the target vehicle, and make predictions based on the historical vehicle usage behavior information to obtain the predicted user boarding time for the target vehicle; or, obtain the vehicle usage behavior information set by the user for the target vehicle from the target vehicle's large screen or the user terminal associated with the target vehicle, and obtain the predicted user boarding time for the target vehicle based on the vehicle usage behavior information; or, obtain the predicted user boarding time for the target vehicle based on the historical vehicle usage behavior information associated with the target vehicle and the vehicle usage behavior information set for the target vehicle.

[0180] Among them, the large screen of the car can be understood as an electronic display device for information interaction between the vehicle and the user, and can include an electronic display device that integrates multiple functions such as information display, entertainment control, navigation, vehicle status monitoring, and Internet of Vehicles operation.

[0181] In one exemplary embodiment, the cloud server 104 retrieves historical vehicle usage information associated with the target vehicle from a cloud storage platform, analyzes data patterns based on this historical usage information, and predicts the target vehicle's predicted boarding time. Alternatively, if the target vehicle has no usage history, meaning the cloud server 104 cannot make a prediction based on historical usage information, the cloud server 104 retrieves the user's vehicle usage information configured for the target vehicle from the target vehicle's onboard display or a user terminal associated with the target vehicle. This may include setting function options via the onboard display or a mobile app. Whether configured on the onboard display or the mobile app, the settings are immediately effective and displayed simultaneously. Functional options include AI intelligent start-up, scheduled start-up, and shutdown. The AI ​​intelligent start-up function can also be configured to automatically recognize holidays, preventing energy waste caused by the intelligent control system automatically starting when the vehicle is not in use. It can also prevent the intelligent control system from failing to recognize vehicle usage patterns and failing to start effectively after long periods of parking on holidays. Furthermore, the scheduled start-up function allows users to freely select conditions. For users with irregular vehicle usage, they can set a start-up schedule based on their daily or weekly needs. Finally, there is a shutdown function, which allows users to manually disable the function when not in use. In addition, on the mobile phone APP side, in addition to the above three function options, a remote manual start function option is also retained, so that when the user needs to use the car temporarily, it can be manually started remotely; thereby, the predicted user boarding time of the target vehicle can be obtained based on the vehicle usage behavior information, or, when there are both vehicle usage records and setting content, the cloud server 104 obtains the predicted user boarding time of the target vehicle based on the historical vehicle usage behavior information and the vehicle usage behavior information pre-set for the target vehicle.

[0182] According to the aforementioned implementation method, the predicted user boarding time for the target vehicle is obtained through different methods, ensuring the timeliness of the acquisition of the predicted user boarding time. At the same time, the historical vehicle usage behavior data stored in the cloud is combined with the user's preset plan to achieve accurate prediction of the user boarding time for the target vehicle, thereby enhancing the personalization and adaptability of the prediction.

[0183] In an exemplary embodiment, Figure 4 As shown, a control method for an automobile thermal management system is provided, and the method is applied to Figure 1 Taking the onboard telematics processor 106 of the target vehicle as an example, the method includes the following steps S401 and S402.

[0184] Step S401, receiving the predicted user boarding time and the predicted start time of the vehicle thermal management system sent by the cloud server; the predicted start time is predicted by the cloud server based on the predicted user boarding time, environmental status information and system start information of the vehicle thermal management system.

[0185] Exemplarily, the cloud server 104 performs a prediction based on the predicted user boarding time, the environment in which the target vehicle is parked, the weather forecast information of the target vehicle's area, and the system startup information of the vehicle thermal management system. That is, it estimates how long the vehicle thermal management system needs to be started before the user gets in the vehicle to meet the user's comfortable car experience. The predicted user boarding time is subtracted from the startup time of the vehicle thermal management system to obtain the predicted startup time of the vehicle thermal management system, and the predicted user boarding time and predicted startup time are sent to the on-board telematics processor 106 of the target vehicle. After receiving the predicted user boarding time and predicted startup time, the on-board telematics processor 106 starts time monitoring.

[0186] Based on the above implementation, the vehicle telematics processor starts the time monitoring mechanism after receiving the predicted user boarding time and the predicted start time, thereby ensuring the synchronization and consistency of time. At the same time, by not starting the monitoring mechanism before receiving, the operating cost of the vehicle telematics processor is reduced.

[0187] Step S402, when the current time reaches the predicted start time, sends a vehicle thermal management system start instruction carrying the predicted user boarding time to the vehicle controller of the target vehicle; wherein the vehicle controller is used to respond to the vehicle thermal management system start instruction, obtain the start time required for the vehicle thermal management system of the target vehicle to meet the preset conditions based on the sensor data collected by the on-board sensors of the target vehicle and the system start information of the vehicle thermal management system, and control the start of the vehicle thermal management system of the target vehicle based on the current time, the start time and the predicted user boarding time.

[0188] In an exemplary embodiment, when the on-board telematics processor 106 monitors that the current time has reached the predicted start-up time, the on-board telematics processor 106 sends a vehicle thermal management system start-up instruction carrying the predicted user boarding time to the vehicle controller 102 of the target vehicle. The vehicle controller 102 responds to the vehicle thermal management system start-up instruction, obtains the start-up time required for the vehicle thermal management system of the target vehicle to meet preset conditions based on the sensor data collected by the on-board sensors of the target vehicle and the system start-up information of the vehicle thermal management system, and finally controls the start-up of the vehicle thermal management system of the target vehicle based on the current time, the start-up time and the predicted user boarding time.

[0189] According to the aforementioned embodiment, when the vehicle telematics processor detects that the estimated predicted start time has been reached, it promptly issues a start command and sends it to the vehicle controller, thereby ensuring the timeliness of the command issuance and thereby improving the timeliness of the system control.

[0190] In an exemplary embodiment, Figure 5As shown, a control system for an automotive thermal management system is provided, the system including a cloud server, a vehicle controller of a target vehicle, and an onboard telematics processor;

[0191] a cloud server configured to obtain a predicted user boarding time of a target vehicle, system startup information of a vehicle thermal management system, and environmental status information, perform a prediction based on the predicted user boarding time, environmental status information, and system startup information of the vehicle thermal management system, obtain a predicted startup time of the vehicle thermal management system, and transmit the predicted user boarding time and the predicted startup time to an onboard telematics processor;

[0192] The vehicle telematics processor is configured to send a vehicle thermal management system startup instruction carrying a predicted user boarding time to the vehicle controller when the current time reaches the predicted startup time;

[0193] The vehicle controller is used to respond to the vehicle thermal management system startup instruction, obtain the startup time required for the vehicle thermal management system of the target vehicle to reach the preset conditions based on the sensor data collected by the on-board sensors of the target vehicle and the system startup information of the vehicle thermal management system; based on the current time, startup time and predicted user boarding time, control the startup of the vehicle thermal management system of the target vehicle.

[0194] Exemplarily, a control system of a vehicle thermal management system is composed of a cloud server, a vehicle controller of a target vehicle, and an on-board telematics processor. The cloud server obtains the predicted user boarding time of the target vehicle, system startup information of the vehicle thermal management system, and environmental status information, and then makes a prediction based on the predicted user boarding time, environmental status information, and system startup information of the vehicle thermal management system to obtain the predicted startup time of the vehicle thermal management system, and sends the predicted user boarding time and the predicted startup time to the on-board telematics processor. When the current time reaches the predicted startup time, the on-board telematics processor sends a vehicle thermal management system startup instruction carrying the predicted user boarding time to the vehicle controller. After receiving the vehicle thermal management system startup instruction, the vehicle controller responds to the vehicle thermal management system startup instruction and obtains the startup time required for the vehicle thermal management system of the target vehicle to meet preset conditions based on the sensor data collected by the on-board sensors of the target vehicle and the system startup information of the vehicle thermal management system. Finally, based on the current time, the startup time, and the predicted user boarding time, the vehicle thermal management system of the target vehicle is controlled to start. The system uses a cloud server to predict the time a user will board the vehicle and further predicts the vehicle's thermal management system startup time. The target vehicle's onboard telematics processor monitors the time. When the current time reaches the predicted startup time, the target vehicle's vehicle controller initiates a thermal management system startup command with the predicted user boarding time. The vehicle controller responds to the command, enabling the vehicle's thermal management system to start in advance. This predictive control proactively adjusts the vehicle's thermal environment before the user boards. The collaborative interaction between the three parties ensures the timely implementation of various tasks, thereby improving the timely control of the vehicle's thermal management system, ensuring a comfortable interior and enhancing the user experience.

[0195] In one embodiment, Figure 6 The figure shows the main hardware structure of a control method for an automotive thermal management system. The hardware components include (but are not limited to): a mobile phone app, an onboard telematics processor (T-Box), a body control module (BCM), a human-machine interface (HMI), a vehicle control unit (VCU), an onboard air conditioner, a battery thermal management system, an exterior temperature sensor, an interior temperature sensor, a sunlight sensor, a front camera, a humidity sensor, and a rain sensor. The optimal energy efficiency operating parameters for the onboard air conditioner and battery thermal management system are calibrated in the vehicle control unit (VCU). The system can automatically analyze and calculate the parameters under different ambient temperatures and climate conditions to maintain optimal energy efficiency.

[0196] In one embodiment, Figure 7 Figure 2 shows a functional setting block diagram for a method for controlling an automotive thermal management system. Function options can be set via the vehicle's main screen or a mobile app. Settings made on either screen and mobile app are immediately effective and displayed simultaneously. Function options include AI intelligent start-up, scheduled start-up, and shutdown. AI intelligent start-up can also be configured to automatically recognize holidays, preventing energy waste caused by the intelligent control system automatically starting even when the vehicle is not in use. It also prevents the intelligent control system from failing to recognize regular vehicle use and failing to start effectively after extended periods of parking on holidays. Furthermore, the scheduled start-up function allows users to freely select conditions. For those who use their vehicle irregularly, a schedule can be set based on daily or weekly usage. Finally, a shutdown function allows users to manually disable the function when not in use. In addition to the three aforementioned options, the mobile app also includes a remote manual start function for users who need to manually start the vehicle temporarily.

[0197] In an exemplary embodiment, Figure 8 As shown, a functional implementation block diagram of a control method for an automobile thermal management system is provided, wherein: TSP: remote data service platform, T-Box: on-board telematics processor, HMI: vehicle-mounted large screen, VCU: vehicle controller, CCM: central control unit, BCM: body control module, VCU: vehicle control unit, PMS: power management system, PEPS: keyless entry and start system.

[0198] The vehicle head unit (HMI) and mobile phone app provide a control and display interface for user interaction. The vehicle control unit (VCU) integrates all the functions of the air conditioning control and thermal management controller (CCM). It is responsible for receiving the air conditioning start signal and turning on the vehicle air conditioning. At the same time, it transmits the startup status parameters to the T-Box (vehicle telematics processor). The T-Box performs timing and power-on, wakes up the vehicle control unit, and sends the air conditioning start signal. The TSP is a remote data service platform responsible for communicating data between the cloud server, mobile phone app, and T-Box. The cloud server is responsible for collecting and storing data, calculating and analyzing data, predicting the start time plan, sending the plan, and waking up the T-Box. In addition, the T-Box also communicates with other controllers in the vehicle, including but not limited to the BCM, VCU, PMS, PEPS, etc.

[0199] in:

[0200] BCM (Body Control Module): Body control module, responsible for body-related functions such as doors, lighting, door locks, and power windows.

[0201] VCU (Vehicle Control Unit): Vehicle control unit, responsible for power system management, energy recovery, vehicle power control, etc.

[0202] PMS (Power Management System): Power management system, responsible for battery management, charging and discharging control.

[0203] PEPS (Passive Entry Passive Start): A keyless entry and start system that ensures vehicle key recognition and keyless start and stop.

[0204] In one embodiment, Figure 9a As shown, a control method for a passenger cabin air conditioning system is provided, such as Figure 9b As shown in the figure, a control method for a battery thermal management system is provided. The following is a hybrid description of the two system control methods. A cloud server collects daily vehicle startup times and frequency patterns. After continuously collecting and analyzing these patterns, it calculates the user's vehicle usage habits, such as the number of times the vehicle is used per day, the time of each start, and the days of the week when the vehicle is used. This data is used to generate an intelligent startup time plan. Combined with the parking environment and weather forecast, the next vehicle startup time is calculated and sent to the T-Box (on-board telematics processor). When the startup time arrives, the cloud server wakes up the T-Box to start the plan execution phase. The T-Box wakes up the VCU (vehicle control unit) to start the air conditioning command and simultaneously monitors the power battery status to determine whether the thermal management system needs to operate for heating or cooling. During this process, the VCU also collects data such as camera data, outdoor temperature, indoor temperature, sunlight intensity, and rainfall information to analyze the system startup time under optimal energy efficiency conditions. Based on this time, it determines whether to activate the air conditioning or power battery thermal management system. The maximum single run time is A minutes. If there is an unlock or door opening signal within A minutes, the air conditioning system determines whether to exit or continue operation based on comfort satisfaction, and the thermal management system determines whether to stop or resume operation at any time based on the battery cell temperature control strategy. After a single run, the VCU uploads the operating data to the cloud via the T-Box for storage, analysis, optimization, and generation of the next start-up plan, and this cycle repeats.

[0205] In one embodiment, Figure 10 As shown, after the vehicle has been used for a week, the cloud server will update and optimize the intelligent activation strategy based on the vehicle usage data of the corresponding account, so as to more accurately predict the activation of the air conditioning and power battery thermal management system, and better meet the user's needs for comfort and driving experience.

[0206] In an exemplary embodiment, Figure 11As shown, the system uses onboard sensors to analyze the surrounding environment and determine the appropriate air conditioning startup mode, thereby reducing system energy consumption and improving startup efficiency. Specifically, when the vehicle controller receives the air conditioning start command, it identifies the environment and calculates the time the user boarded the vehicle to confirm that the air conditioning can be turned on, thus entering this process. The vehicle controller determines the desired air conditioning mode based on the ambient temperature and the interior temperature. The system uses a calibration range of B degrees Celsius to C degrees Celsius (the parameter can be adjusted based on actual vehicle calibration, with B < C). When the ambient temperature is greater than C, the air conditioning system automatically enters automatic mode. When the ambient temperature is less than B, the system analyzes data from the front camera, humidity, temperature, and rainfall signals to determine whether defrost / defog mode is required. If so, defrost / defog mode is entered; otherwise, heating mode is entered. When the ambient temperature is between B and C, the air conditioning system automatically enters ventilation mode. At this point, the system determines whether the compressor should be activated for dehumidification or cooling based on whether the interior windshield is fogged and whether the interior temperature is greater than C.

[0207] Compared with the existing technology, this application has the following technical advantages:

[0208] 1. Integrating AI algorithms into air conditioning and thermal management control systems can intelligently control the operating status of vehicle air conditioning and power battery thermal management systems based on different user needs and vehicle usage habits.

[0209] 2. After intelligent control, the system can operate under the best performance conditions, greatly reducing energy consumption and improving efficiency.

[0210] 3. The system operates fully automatically without manual intervention. Vehicle users no longer need to frequently use the remote control to turn on the air conditioner to cool or heat the passenger compartment in advance.

[0211] 4. In addition to realizing the automatic opening and closing functions of the air conditioner, the intelligent control method can also realize automatic defrosting, defoggering, and battery self-heating or cooling functions, so that vehicle users no longer need to wait and can experience the best comfort and driving experience as soon as they get in the car, which is safe and time-saving.

[0212] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0213] Based on the same inventive concept, embodiments of the present application also provide a control device for an automotive thermal management system for implementing the aforementioned control method for an automotive thermal management system. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the automotive thermal management system control device provided below can be found in the aforementioned limitations of the automotive thermal management system control method and will not be further elaborated here.

[0214] In an exemplary embodiment, Figure 12 As shown, a control device 1200 for an automobile thermal management system is provided, which is applied to a vehicle controller of a target vehicle and includes: a command receiving module 1201, a command response module 1202 and a system control module 1203, wherein:

[0215] The instruction receiving module 1201 is configured to receive a vehicle thermal management system activation instruction carrying a predicted user boarding time, sent by the onboard telematics processor of the target vehicle. The vehicle thermal management system activation instruction is sent by the onboard telematics processor to the vehicle controller when the current time reaches the predicted vehicle thermal management system activation time. The predicted activation time is predicted by the cloud server based on the predicted user boarding time, environmental status information, and vehicle thermal management system activation information.

[0216] The instruction response module 1202 is used to respond to the vehicle thermal management system startup instruction and obtain the startup time required for the vehicle thermal management system of the target vehicle to meet the preset conditions based on the sensor data collected by the vehicle-mounted sensors of the target vehicle and the system startup information of the vehicle thermal management system;

[0217] The system control module 1203 is used to control the vehicle thermal management system of the target vehicle based on the current time, the startup duration and the predicted user boarding time.

[0218] In one embodiment, a control device based on the aforementioned vehicle thermal management system receives, through an instruction receiving module, a vehicle thermal management system startup instruction carrying a predicted user boarding time sent by a target vehicle telematics processor, wherein the vehicle thermal management system startup instruction is sent by the on-board telematics processor to the vehicle controller when the current time reaches the predicted startup time of the vehicle thermal management system, the predicted startup time is predicted by a cloud server based on the predicted user boarding time, environmental status information, and system startup information of the vehicle thermal management system, and the vehicle thermal management system startup instruction is transmitted to an instruction response module, which responds to the vehicle thermal management system startup instruction, obtains the startup time required for the vehicle thermal management system of the target vehicle to meet preset conditions based on sensor data collected by the on-board sensors of the target vehicle and the system startup information of the vehicle thermal management system, and sends the startup time and the predicted user boarding time carried by the vehicle thermal management system startup instruction to the system control module, which controls the startup of the vehicle thermal management system of the target vehicle based on the current time, the startup time, and the predicted user boarding time. The predicted startup time of the vehicle thermal management system is obtained through the cloud server, and after the current time reaches the predicted startup time, the vehicle thermal management system startup instruction carrying the predicted user boarding time is received from the on-board remote information processor. The system responds to the vehicle thermal management system startup instruction, obtains the corresponding startup duration of the system based on the sensor data collected by the on-board sensor, and finally controls the startup of the vehicle thermal management system of the target vehicle according to the current time, startup duration and predicted user boarding time. The subsequent startup of the vehicle thermal management system is executed by responding to the vehicle thermal management system startup instruction generated based on the predicted startup time, thereby ensuring the timeliness of system control. At the same time, the pre-system control startup optimizes the vehicle interior environment, thereby improving the user's comfort in the vehicle.

[0219] In one embodiment, the system control module 1203 further includes: a threshold construction submodule and a system control submodule, wherein:

[0220] The threshold construction submodule is used to construct a duration threshold based on the current time and the predicted user boarding time.

[0221] The system control submodule is used to control the start-up of the vehicle thermal management system of the target vehicle when the start-up duration is less than or equal to the duration threshold, and return the target vehicle's vehicle usage behavior information to the cloud server.

[0222] In an exemplary embodiment, the system control module 1203 is also used to obtain the delayed start time of the vehicle thermal management system based on the current time, the predicted user boarding time and the start time when the start time is greater than the time threshold; send the delayed start time to the on-board telematics processor, and receive a new vehicle thermal management system start instruction resent by the on-board telematics processor after the current time has passed the delayed start time; in response to the new vehicle thermal management system start instruction, control the start of the vehicle thermal management system of the target vehicle, and return the vehicle usage behavior information of the target vehicle to the cloud server.

[0223] In one embodiment, the vehicle thermal management system includes a passenger compartment air-conditioning system, and the control device 1200 of the vehicle thermal management system is further used to receive a passenger compartment air-conditioning start-up instruction carrying a predicted user boarding time sent by an on-board telematics processor of a target vehicle; wherein the vehicle thermal management system start-up instruction is sent by the on-board telematics processor to the vehicle controller when the current time reaches the predicted first start-up time of the passenger compartment air-conditioning system; the predicted first start-up time is predicted by a cloud server based on the predicted user boarding time, environmental status information and system start-up information of the passenger compartment air-conditioning system; in response to the passenger compartment air-conditioning system start-up instruction, sensor data collected by the image sensor, temperature sensor, humidity sensor, sunlight sensor and rain sensor of the target vehicle are obtained; based on the sensor data and the system start-up information of the passenger compartment air-conditioning system, a first start-up time required for the internal temperature of the passenger compartment of the target vehicle to reach a preset first temperature when the passenger compartment air-conditioning system of the target vehicle is running is obtained; based on the current time, the first start-up time and the predicted user boarding time, the start-up of the passenger compartment air-conditioning system of the target vehicle is controlled.

[0224] In one embodiment, after controlling and starting the passenger compartment air conditioning system of the target vehicle, the control device 1200 of the automobile thermal management system further includes a temperature acquisition module and a judgment module, wherein:

[0225] a temperature acquisition module, configured to acquire the current internal temperature of the passenger compartment of the target vehicle upon receiving an unlock signal or a door opening signal within a preset time window;

[0226] The judgment module is used to judge whether to continue to operate the passenger compartment air conditioning system based on the current internal temperature and the preset first temperature.

[0227] In an exemplary embodiment, the judgment module is also used to control the passenger compartment air-conditioning system to stop running and control the passenger compartment air-conditioning system to return to the last started state when the current internal temperature reaches the preset first temperature; when the current internal temperature does not reach the preset first temperature, initiate an inquiry to the user through the large screen of the target vehicle, and control the passenger compartment air-conditioning system to continue running or control the passenger compartment air-conditioning system to return to the last started state based on the inquiry result.

[0228] In one embodiment, after the passenger compartment air conditioning system returns to the last startup state, the judgment module is further used to control the passenger compartment air conditioning system to retain the current startup state when the last startup state does not match the current environment of the target vehicle.

[0229] In one embodiment, after controlling the start of the passenger compartment air-conditioning system of the target vehicle, the control device of the automobile thermal management system is further used to control the passenger compartment air-conditioning system to enter an automatic operation mode when the ambient temperature of the environment in which the target vehicle is located is greater than a first ambient temperature; when the ambient temperature is less than a second ambient temperature, if it is determined that the windshield of the target vehicle is fogged based on the sensor data collected by the image sensor, the humidity sensor, the temperature sensor and the rain sensor, the passenger compartment air-conditioning system is controlled to enter a defogging mode; the second ambient temperature is lower than the first ambient temperature; when the ambient temperature is greater than or equal to the second ambient temperature and less than or equal to the first ambient temperature, the passenger compartment air-conditioning system is controlled to enter a ventilation mode; and when it is determined that the windshield of the target vehicle is fogged based on the sensor data collected by the image sensor, the humidity sensor, the temperature sensor and the rain sensor, and the vehicle interior temperature collected by the temperature sensor is greater than the first ambient temperature, the passenger compartment air-conditioning system is controlled to start the compressor for cooling or dehumidification.

[0230] In an exemplary embodiment, the vehicle thermal management system includes a battery thermal management system, and the control device 1200 of the vehicle thermal management system is also used to receive a battery thermal management system startup instruction carrying a predicted user boarding time sent by the on-board telematics processor of the target vehicle; wherein the battery thermal management system startup instruction is sent by the on-board telematics processor to the vehicle controller when the current time reaches the predicted startup time of the battery thermal management system; the predicted startup time is predicted by the cloud server based on the predicted user boarding time, environmental status information and system startup information of the battery thermal management system; in response to the battery thermal management system startup instruction, sensor data collected by the external temperature sensor and the battery cell temperature sensor of the target vehicle are obtained; based on the sensor data and the system startup information of the battery thermal management system, the second startup time required for the battery cell temperature of the target vehicle to reach a preset second temperature when the battery thermal management system of the target vehicle is running is obtained; based on the current time, the second startup time and the predicted user boarding time, the battery thermal management system of the target vehicle is controlled to start.

[0231] In one embodiment, after controlling the start of the battery thermal management system of the target vehicle, the control device 1200 of the vehicle thermal management system is further used to obtain the current battery cell temperature of the battery of the target vehicle; when the current battery cell temperature reaches a preset second temperature, the battery thermal management system is controlled to stop running; when the current battery cell temperature does not reach the preset second temperature, the battery thermal management system is controlled to continue running.

[0232] In an exemplary embodiment, Figure 13 As shown, a control device 1300 for an automobile thermal management system is provided, which is applied to a cloud server and includes: an acquisition module 1301, a prediction module 1302, and a system time sending module 1303, wherein:

[0233] An acquisition module 1301 is used to obtain the predicted user boarding time of the target vehicle, system startup information of the vehicle thermal management system, and environmental status information;

[0234] Prediction module 1302, configured to make a prediction based on the predicted user boarding time, environmental status information, and system startup information of the vehicle thermal management system to obtain a predicted startup time of the vehicle thermal management system;

[0235] The time sending module 1303 is used to send the predicted user boarding time and the predicted start time to the onboard telematics processor of the target vehicle; when the current time reaches the predicted start time, the onboard telematics processor generates and sends a vehicle thermal management system start instruction to the vehicle controller of the target vehicle; the vehicle thermal management system start instruction carries the predicted user boarding time;

[0236] Among them, the vehicle controller is used to respond to the vehicle thermal management system startup instruction, and obtain the startup time required for the vehicle thermal management system of the target vehicle to reach the preset conditions based on the sensor data collected by the on-board sensors of the target vehicle and the system startup information of the vehicle thermal management system, and control the startup of the vehicle thermal management system of the target vehicle based on the current time, startup time and predicted user boarding time.

[0237] In one embodiment, the acquisition module 1301 is also used to obtain historical vehicle usage behavior information associated with the target vehicle, and make predictions based on the historical vehicle usage behavior information to obtain the predicted user boarding time of the target vehicle; or, obtain the vehicle usage behavior information set by the user for the target vehicle from the target vehicle's large screen or the user terminal associated with the target vehicle, and obtain the predicted user boarding time of the target vehicle based on the vehicle usage behavior information; or, obtain the predicted user boarding time of the target vehicle based on the historical vehicle usage behavior information associated with the target vehicle and the vehicle usage behavior information set for the target vehicle.

[0238] In an exemplary embodiment, Figure 14 As shown, a control device 1400 for an automobile thermal management system is provided, which is applied to an on-board telematics processor of a target vehicle, including: a time receiving module 1401 and an instruction sending module 1402, wherein:

[0239] The time receiving module 1401 is configured to receive the predicted user boarding time and the predicted vehicle thermal management system startup time sent by the cloud server; the predicted startup time is predicted by the cloud server based on the predicted user boarding time, environmental status information, and system startup information of the vehicle thermal management system;

[0240] The instruction sending module 1402 is used to send a vehicle thermal management system startup instruction carrying the predicted user boarding time to the vehicle controller of the target vehicle when the current time reaches the predicted startup time; wherein, the vehicle controller is used to respond to the vehicle thermal management system startup instruction, obtain the startup time required for the vehicle thermal management system of the target vehicle to meet the preset conditions based on the sensor data collected by the on-board sensors of the target vehicle and the system startup information of the vehicle thermal management system, and control the startup of the vehicle thermal management system of the target vehicle based on the current time, the startup time and the predicted user boarding time.

[0241] Each module in the aforementioned automotive thermal management system control device may be implemented in whole or in part through software, hardware, or a combination thereof. Each module may be embedded in or independent of the vehicle's processor in hardware form, or may be stored in the vehicle's memory in software form, allowing the processor to call and execute the corresponding operations of each module.

[0242] In an exemplary embodiment, a vehicle is provided, the internal structure of which can be as follows: Figure 15 As shown. The vehicle includes a processor and memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor and memory are connected via a system bus. The processor of the vehicle is used to provide computing and control capabilities. The memory of the vehicle includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the vehicle is used to store predicted user boarding time, current time, startup duration, and vehicle thermal management system startup instructions. The input / output interface of the vehicle is used to exchange information between the processor and external devices. The communication interface of the vehicle is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a control method for an automobile thermal management system is implemented.

[0243] Those skilled in the art will understand that Figure 15 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the vehicle to which the solution of the present application is applied. The specific vehicle may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0244] In an exemplary embodiment, a vehicle is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the control method of the automotive thermal management system of the above embodiment when executing the computer program.

[0245] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the control method of the automotive thermal management system of the above embodiment is implemented.

[0246] In one embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the control method of the automotive thermal management system of the above embodiment is implemented.

[0247] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0248] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0249] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0250] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A control method for an automobile thermal management system, characterized in that: The method is applied to a vehicle controller of a target vehicle, comprising: receiving a vehicle thermal management system activation instruction carrying a predicted user boarding time sent by an onboard telematics processor of the target vehicle; wherein the vehicle thermal management system activation instruction is sent by the onboard telematics processor to the vehicle controller when the current time reaches the predicted vehicle thermal management system activation time; the predicted activation time is predicted by a cloud server based on the predicted user boarding time, environmental status information, and system activation information of the vehicle thermal management system; In response to the vehicle thermal management system startup instruction, obtaining a startup time required for the vehicle thermal management system of the target vehicle to meet a preset condition based on sensor data collected by an onboard sensor of the target vehicle and system startup information of the vehicle thermal management system; Based on the current time, the startup duration and the predicted user boarding time, control the startup of the vehicle thermal management system of the target vehicle.

2. The method according to claim 1, characterized in that The method of controlling and starting the vehicle thermal management system of the target vehicle based on the current time, the startup duration, and the predicted user boarding time includes: Constructing a duration threshold according to the current time and the predicted user boarding time; When the startup duration is less than or equal to the duration threshold, the vehicle thermal management system of the target vehicle is controlled to start, and the vehicle usage behavior information of the target vehicle is returned to the cloud server.

3. The method according to claim 2, characterized in that The method further comprises: When the startup duration is greater than the duration threshold, obtaining a delayed startup duration of the vehicle thermal management system based on the current time, the predicted user boarding time, and the startup duration; Sending the delayed start time to the vehicle telematics processor, and receiving a new vehicle thermal management system start instruction resent by the vehicle telematics processor after the current time has elapsed the delayed start time; In response to the new vehicle thermal management system startup instruction, the vehicle thermal management system of the target vehicle is controlled to be started, and the vehicle usage behavior information of the target vehicle is returned to the cloud server.

4. The method according to any one of claims 1 to 3, characterized in that The automotive thermal management system includes a passenger compartment air conditioning system; The step of receiving the vehicle thermal management system activation instruction carrying the predicted user boarding time sent by the onboard telematics processor of the target vehicle includes: receiving a passenger compartment air conditioning start-up instruction carrying a predicted user boarding time sent by an onboard telematics processor of the target vehicle; wherein the vehicle thermal management system start-up instruction is sent by the onboard telematics processor to the vehicle controller when the current time reaches the predicted first start-up time of the passenger compartment air conditioning system; the predicted first start-up time is predicted by a cloud server based on the predicted user boarding time, environmental status information, and system start-up information of the passenger compartment air conditioning system; The step of obtaining, in response to the vehicle thermal management system startup instruction, a startup time required for the vehicle thermal management system of the target vehicle to meet a preset condition based on sensor data collected by an onboard sensor of the target vehicle and system startup information of the vehicle thermal management system, includes: In response to the passenger compartment air conditioning system start-up instruction, acquiring sensor data collected by each of an image sensor, a temperature sensor, a humidity sensor, a sunlight sensor, and a rain sensor of the target vehicle; obtaining, based on the sensor data and the system startup information of the passenger compartment air conditioning system, a first startup time required for the internal temperature of the passenger compartment of the target vehicle to reach a preset first temperature when the passenger compartment air conditioning system of the target vehicle is in operation; The method of controlling and starting the vehicle thermal management system of the target vehicle based on the current time, the startup duration, and the predicted user boarding time includes: Based on the current time, the first startup duration and the predicted user boarding time, control the startup of the passenger compartment air conditioning system of the target vehicle.

5. The method according to claim 4, characterized in that After controlling and starting the passenger compartment air conditioning system of the target vehicle, the method further includes: When an unlock signal or a door opening signal is received within a preset time window, obtaining a current internal temperature of the passenger compartment of the target vehicle; When the current internal temperature reaches the preset first temperature, controlling the passenger compartment air conditioning system to stop operating and controlling the passenger compartment air conditioning system to return to a last started state; When the current internal temperature does not reach the preset first temperature, an inquiry is initiated to the user through the large screen of the target vehicle, and the passenger compartment air-conditioning system is controlled to continue to operate or to return to the last startup state based on the inquiry result.

6. The method according to claim 5, characterized in that After the passenger cabin air conditioning system returns to the last startup state, the method includes: In a case where the last startup state does not match the current environment of the target vehicle, the passenger compartment air conditioning system is controlled to retain the current startup state.

7. The method according to claim 4, characterized in that After controlling and starting the passenger compartment air conditioning system of the target vehicle, the method further includes: When the ambient temperature of the environment in which the target vehicle is located is greater than a first ambient temperature, controlling the passenger compartment air conditioning system to enter an automatic operation mode; If, in a case where the ambient temperature is lower than a second ambient temperature, the windshield of the target vehicle is determined to be fogged based on the sensor data collected by the image sensor, the humidity sensor, the temperature sensor, and the rain sensor, the passenger compartment air conditioning system is controlled to enter a defogging mode; and the second ambient temperature is lower than the first ambient temperature. When the ambient temperature is greater than or equal to the second ambient temperature and less than or equal to the first ambient temperature, the passenger compartment air-conditioning system is controlled to enter a ventilation mode; and when it is determined that the windshield of the target vehicle is fogged based on the sensor data collected by the image sensor, the humidity sensor, the temperature sensor, and the rain sensor, and the vehicle interior temperature collected by the temperature sensor is greater than the first ambient temperature, the passenger compartment air-conditioning system is controlled to start the compressor for cooling or dehumidification.

8. The method according to any one of claims 1 to 3, characterized in that The vehicle thermal management system includes a battery thermal management system; The step of receiving the vehicle thermal management system activation instruction carrying the predicted user boarding time sent by the onboard telematics processor of the target vehicle includes: receiving a battery thermal management system activation instruction carrying a predicted user boarding time sent by an onboard telematics processor of the target vehicle; wherein the battery thermal management system activation instruction is sent by the onboard telematics processor to the vehicle controller when the current time reaches the predicted activation time of the battery thermal management system; the predicted activation time is predicted by a cloud server based on the predicted user boarding time, environmental status information, and system activation information of the battery thermal management system; The step of obtaining, in response to the vehicle thermal management system startup instruction, a startup time required for the vehicle thermal management system of the target vehicle to meet a preset condition based on sensor data collected by an onboard sensor of the target vehicle and system startup information of the vehicle thermal management system, includes: In response to the battery thermal management system startup instruction, obtaining sensor data collected by the vehicle exterior temperature sensor and the battery cell temperature sensor of the target vehicle; Obtaining, based on the sensor data and the system startup information of the battery thermal management system, a second startup time required for a battery cell temperature of the target vehicle to reach a preset second temperature when the battery thermal management system of the target vehicle is running; The method of controlling and starting the vehicle thermal management system of the target vehicle based on the current time, the startup duration, and the predicted user boarding time includes: Based on the current time, the second startup duration and the predicted user boarding time, control the startup of the battery thermal management system of the target vehicle.

9. A control method for an automobile thermal management system, characterized in that: Applied to a cloud server, the method includes: Obtain the predicted user boarding time of the target vehicle, system startup information of the vehicle thermal management system, and environmental status information; Predicting based on the predicted user boarding time, environmental status information, and system startup information of the vehicle thermal management system to obtain a predicted startup time of the vehicle thermal management system; sending the predicted user boarding time and the predicted start time to the onboard telematics processor of the target vehicle; when the current time reaches the predicted start time, generating a vehicle thermal management system start instruction through the onboard telematics processor and sending it to the vehicle controller of the target vehicle; the vehicle thermal management system start instruction carries the predicted user boarding time; Among them, the vehicle controller is used to respond to the vehicle thermal management system startup instruction, obtain the startup time required for the vehicle thermal management system of the target vehicle to meet preset conditions based on the sensor data collected by the on-board sensors of the target vehicle and the system startup information of the vehicle thermal management system, and control the startup of the vehicle thermal management system of the target vehicle based on the current time, the startup time and the predicted user boarding time.

10. A control method for an automobile thermal management system, characterized in that: The method is applied to a vehicle-mounted telematics processor of a target vehicle, comprising: Receiving a predicted user boarding time and a predicted vehicle thermal management system startup time sent by a cloud server; the predicted startup time is predicted by the cloud server based on the predicted user boarding time, environmental status information, and system startup information of the vehicle thermal management system; When the current time reaches the predicted start-up time, a vehicle thermal management system start-up instruction carrying the predicted user boarding time is sent to the vehicle controller of the target vehicle; wherein, the vehicle controller is used to respond to the vehicle thermal management system start-up instruction, obtain the start-up time required for the vehicle thermal management system of the target vehicle to meet preset conditions based on the sensor data collected by the on-board sensors of the target vehicle and the system start-up information of the vehicle thermal management system, and control the start-up of the vehicle thermal management system of the target vehicle based on the current time, the start-up time and the predicted user boarding time.

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