Control method for a vehicle thermal management system

Abstract

The application relates to a control method of an automobile thermal management system. The method comprises the following steps: predicting a predicted starting time of the automobile thermal management system according to a predicted user getting-on time, environment state information and system starting information of the automobile thermal management system by a cloud server; in the case that the current time reaches the predicted starting time, generating an automobile thermal management system starting instruction carrying the predicted user getting-on time by a vehicle remote information processor of a target vehicle and sending the automobile thermal management system starting instruction to a vehicle controller of the target vehicle; the vehicle controller responds to the automobile thermal management system starting instruction, acquires a starting duration according to sensor data collected by a vehicle sensor of the target vehicle and the system starting information of the automobile thermal management system, and finally controls the automobile thermal management system of the target vehicle based on the current time, the starting duration and the predicted user getting-on time. The method ensures the timeliness of system control.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automation control, and in particular to a control method and device of an automobile thermal management system, a vehicle, a computer readable storage medium and a computer program product. BACKGROUND

[0002] The intelligent control method of the automobile thermal management system in the prior art can remotely start or shut down. The remote start or shutdown is manually operated in advance through an APP (Application) or a remote key, so as to manage the temperature in the vehicle in advance before the user gets into the vehicle, and ensure the comfort of the user.

[0003] However, the traditional method of remotely starting or shutting down the automobile thermal management system has the problem of low control timeliness. SUMMARY

[0004] Therefore, it is necessary to provide a control method, system and device of an automobile thermal management system, a vehicle, a computer readable storage medium and a computer program product, which can improve the control timeliness.

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

[0006] receiving an automobile thermal management system starting instruction carrying a predicted user getting-into-time sent by a vehicle-mounted telematics processor of the target vehicle; wherein the automobile thermal management system starting instruction is sent by the vehicle-mounted telematics processor to the vehicle controller in the case that a current time reaches a predicted starting time of the automobile thermal management system; and the predicted starting time is predicted by a cloud server according to the predicted user getting-into-time, environmental state information and system starting information of the automobile thermal management system;

[0007] in response to the automobile thermal management system starting instruction, obtaining a starting duration required for the automobile thermal management system of the target vehicle to reach a preset condition according to sensor data collected by a vehicle-mounted sensor of the target vehicle and the system starting information of the automobile thermal management system;

[0008] controlling to start the automobile thermal management system of the target vehicle based on the current time, the starting duration and the predicted user getting-into-time.

[0009] In combination with the first aspect, in an embodiment, controlling to start the automobile thermal management system of the target vehicle based on the current time, the starting duration and the predicted user getting-into-time, comprises:

[0010] constructing a duration threshold according to the current time and the predicted user getting-into-time;

[0011] In a case where the starting duration is less than or equal to the duration threshold, 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.

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

[0013] In a case where the starting duration is greater than the duration threshold, a delayed starting duration of the vehicle thermal management system is obtained based on the current time, the predicted user getting-in time, and the starting duration;

[0014] The delayed starting duration is sent to the vehicle-mounted telematics processor, and a new vehicle thermal management system starting instruction re-sent by the vehicle-mounted telematics processor after the current time passes the delayed starting duration is received;

[0015] In response to the new vehicle thermal management system starting 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.

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

[0017] The vehicle thermal management system starting instruction carrying the predicted user getting-in time sent by the vehicle-mounted telematics processor of the target vehicle is received, including:

[0018] The passenger compartment air conditioning system starting instruction carrying the predicted user getting-in time sent by the vehicle-mounted telematics processor of the target vehicle is received; wherein the vehicle thermal management system starting instruction is sent by the vehicle-mounted telematics processor to the vehicle controller in a case where the current time reaches a predicted first starting time of the passenger compartment air conditioning system; the predicted first starting time is predicted by the cloud server according to the predicted user getting-in time, the environmental state information, and the system starting information of the passenger compartment air conditioning system;

[0019] In response to the vehicle thermal management system starting instruction, the starting duration required for the vehicle thermal management system of the target vehicle to reach a preset condition is obtained according to the sensor data collected by the vehicle-mounted sensors of the target vehicle and the system starting information of the vehicle thermal management system, including:

[0020] In response to the passenger compartment air conditioning system starting instruction, the sensor data collected by the image sensor, the temperature sensor, the humidity sensor, the sunlight sensor, and the rainfall sensor of the target vehicle is obtained;

[0021] According to the sensor data and the system starting information of the passenger compartment air conditioning system, the first starting duration 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;

[0022] Controlling an automobile thermal management system of a target vehicle to start up based on a current time, a start-up duration, and a predicted user pickup time, including:

[0023] Controlling a passenger cabin air conditioning system of the target vehicle to start up based on the current time, the first start-up duration, and the predicted user pickup time.

[0024] In combination with the first aspect, in one of the embodiments, after controlling the passenger cabin air conditioning system of the target vehicle to start up, the method further includes:

[0025] In a case where an unlocking signal or an opening door signal is received within a preset time window, obtaining a current internal temperature of a passenger cabin of the target vehicle;

[0026] According to the current internal temperature and a preset first temperature, determining whether to continue running the passenger cabin air conditioning system.

[0027] In combination with the first aspect, in one of the embodiments, according to the current internal temperature and the preset first temperature, determining whether to continue running the passenger cabin air conditioning system includes:

[0028] In a case where the current internal temperature reaches the preset first temperature, controlling the passenger cabin air conditioning system to stop running, and controlling the passenger cabin air conditioning system to return to a last start-up state;

[0029] In a case where the current internal temperature does not reach the preset first temperature, initiating an inquiry to a user through a vehicle machine large screen of the target vehicle, and according to an inquiry result, controlling the passenger cabin air conditioning system to continue running, or controlling the passenger cabin air conditioning system to return to the last start-up state.

[0030] In combination with the first aspect, in one of the embodiments, after the passenger cabin air conditioning system returns to the last start-up state, it includes:

[0031] In a case where the last start-up state does not match a current environment in which the target vehicle is located, controlling the passenger cabin air conditioning system to remain in a current start-up state.

[0032] In combination with the first aspect, in one of the embodiments, after controlling the passenger cabin air conditioning system of the target vehicle to start up, it further includes:

[0033] In a case where an ambient temperature of an environment in which the target vehicle is located is greater than a first ambient temperature, controlling the passenger cabin air conditioning system to enter an automatic running mode;

[0034] In a case where the ambient temperature is less than a second ambient temperature, if it is determined, according to sensor data collected by an image sensor, a humidity sensor, a temperature sensor, and a rainfall sensor, that a windshield of the target vehicle is fogging, controlling the passenger cabin air conditioning system to enter a defogging mode; the second ambient temperature is lower than the first ambient temperature.

[0035] In a case that 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 cabin air conditioning system is controlled to enter a ventilation mode, and in a case that the image sensor, the humidity sensor, the temperature sensor and the rain sensor each collect sensor data, it is determined that the windshield of the target vehicle is fogged, and the temperature sensor collects the temperature in the vehicle greater than the first ambient temperature, the passenger cabin air conditioning system is controlled to start the compressor to refrigerate or dehumidify.

[0036] In combination with the first aspect, in one of the embodiments, the automobile thermal management system includes a battery thermal management system.

[0037] The automobile thermal management system startup instruction carrying the predicted user getting-on time sent by the on-board telematics processor of the target vehicle is received, and the automobile thermal management system startup instruction includes:

[0038] The battery thermal management system startup instruction carrying the predicted user getting-on time sent by the on-board telematics processor of the target vehicle is received; wherein the battery thermal management system startup instruction is sent by the on-board telematics processor to the vehicle controller in a case that the current time reaches the predicted startup time of the battery thermal management system; the predicted startup time is predicted by the cloud server according to the predicted user getting-on time, the ambient state information and the system startup information of the battery thermal management system.

[0039] In response to the automobile thermal management system startup instruction, the startup duration required for the automobile thermal management system of the target vehicle to reach a preset condition is obtained according to 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 the startup duration includes:

[0040] In response to the battery thermal management system startup instruction, the sensor data collected by the outside temperature sensor and the cell temperature sensor of the target vehicle is obtained.

[0041] According to the sensor data and the system startup information of the battery thermal management system, the second startup duration required for the 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 running is obtained.

[0042] Based on the current time, the startup duration and the predicted user getting-on time, the automobile thermal management system of the target vehicle is controlled to be started, and the automobile thermal management system includes:

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

[0044] In combination with the first aspect, in one of the embodiments, after the battery thermal management system of the target vehicle is controlled to be started, the method further includes:

[0045] The current cell temperature of the battery of the target vehicle is obtained.

[0046] In a case where the current battery cell temperature reaches the preset second temperature, the battery thermal management system is controlled to stop running;

[0047] In a case where the current battery cell temperature does not reach the preset second temperature, the battery thermal management system is controlled to continue running.

[0048] In a second aspect, the application further provides a control method of an automobile thermal management system, applied to a cloud server, comprising:

[0049] obtaining a predicted user boarding time of a target vehicle, system startup information of the automobile thermal management system, and obtaining environmental state information;

[0050] predicting according to the predicted user boarding time, the environmental state information and the system startup information of the automobile thermal management system to obtain a predicted startup time of the automobile thermal management system;

[0051] sending the predicted user boarding time and the predicted startup time to a vehicle-mounted telematics processor of the target vehicle; in a case where the current time reaches the predicted startup time, generating and sending an automobile thermal management system startup instruction to a vehicle control unit of the target vehicle through the vehicle-mounted telematics processor; the automobile thermal management system startup instruction carries the predicted user boarding time;

[0052] The vehicle control unit is configured to respond to the automobile thermal management system startup instruction, obtain a startup duration required for the automobile thermal management system of the target vehicle to reach a preset condition according to sensor data collected by a vehicle-mounted sensor of the target vehicle and the system startup information of the automobile thermal management system, and control the startup of the automobile thermal management system of the target vehicle based on the current time, the startup duration and the predicted user boarding time.

[0053] In combination with the second aspect, in an embodiment, obtaining the predicted user boarding time of the target vehicle comprises:

[0054] obtaining historical vehicle use behavior information associated with the target vehicle, and obtaining the predicted user boarding time of the target vehicle according to the historical vehicle use behavior information;

[0055] or obtaining vehicle use behavior information set by a user for the target vehicle from a vehicle machine large screen of the target vehicle or a user terminal associated with the target vehicle, and obtaining the predicted user boarding time of the target vehicle based on the vehicle use behavior information;

[0056] or obtaining the predicted user boarding time of the target vehicle according to the historical vehicle use behavior information associated with the target vehicle and the vehicle use behavior information set for the target vehicle.

[0057] In a third aspect, the application further provides a control method of an automobile thermal management system, applied to a vehicle-mounted telematics processor of a target vehicle, comprising:

[0058] receive the predicted user pickup time and the predicted start time of the thermal management system sent by the cloud server; the predicted start time is predicted by the cloud server according to the predicted user pickup time, the environment state information and the system start information of the thermal management system;

[0059] in the case that the current time reaches the predicted start time, send the thermal management system start instruction carrying the predicted user pickup time to the vehicle controller of the target vehicle; wherein the vehicle controller is configured to respond to the thermal management system start instruction, acquire the start duration required for the thermal management system of the target vehicle to reach a preset condition according to the sensor data collected by the on-board sensor of the target vehicle and the system start information of the thermal management system, and control the start of the thermal management system of the target vehicle based on the current time, the start duration and the predicted user pickup time.

[0060] In a fourth aspect, the present application also provides a control system of a thermal management system of a vehicle, which comprises a cloud server, a vehicle controller of a target vehicle and an on-board telematics processor;

[0061] The cloud server is configured to acquire the predicted user pickup time of the target vehicle, the system start information of the thermal management system, and the environment state information, predict according to the predicted user pickup time, the environment state information and the system start information of the thermal management system, obtain the predicted start time of the thermal management system, and send the predicted user pickup time and the predicted start time to the on-board telematics processor.

[0062] The on-board telematics processor is configured to, in the case that the current time reaches the predicted start time, send the thermal management system start instruction carrying the predicted user pickup time to the vehicle controller.

[0063] The vehicle controller is configured to respond to the thermal management system start instruction, acquire the start duration required for the thermal management system of the target vehicle to reach a preset condition according to the sensor data collected by the on-board sensor of the target vehicle and the system start information of the thermal management system, and control the start of the thermal management system of the target vehicle based on the current time, the start duration and the predicted user pickup time.

[0064] In a fifth aspect, the present application also provides a control device of a thermal management system of a vehicle, which is applied to a vehicle controller of a target vehicle and comprises:

[0065] An instruction receiving module is configured to receive a vehicle thermal management system starting instruction carrying a predicted user getting-on time sent by a vehicle-mounted telematics processor of a target vehicle; wherein the vehicle thermal management system starting instruction is sent by the vehicle-mounted telematics processor to a vehicle controller in a case where a current time reaches a predicted starting time of the vehicle thermal management system; the predicted starting time is predicted by a cloud server according to the predicted user getting-on time, environment state information and system starting information of the vehicle thermal management system;

[0066] An instruction response module is configured to, in response to the vehicle thermal management system starting instruction, acquire a starting duration required for the vehicle thermal management system of the target vehicle to reach a preset condition according to sensor data collected by a vehicle-mounted sensor of the target vehicle and the system starting information of the vehicle thermal management system;

[0067] A system control module is configured to control starting of the vehicle thermal management system of the target vehicle based on the current time, the starting duration and the predicted user getting-on time.

[0068] In a sixth aspect, the present application further provides a control device of a vehicle thermal management system, applied to a cloud server, comprising:

[0069] An acquisition module is configured to acquire a predicted user getting-on time of a target vehicle, system starting information of a vehicle thermal management system, and acquire environment state information;

[0070] A prediction module is configured to predict according to the predicted user getting-on time, the environment state information and the system starting information of the vehicle thermal management system, and obtain a predicted starting time of the vehicle thermal management system;

[0071] A time sending module is configured to send the predicted user getting-on time and the predicted starting time to a vehicle-mounted telematics processor of a target vehicle; in a case where a current time reaches the predicted starting time, generate a vehicle thermal management system starting instruction by the vehicle-mounted telematics processor and send the vehicle thermal management system starting instruction to a vehicle controller of the target vehicle; the vehicle thermal management system starting instruction carries the predicted user getting-on time;

[0072] The vehicle controller is configured to, in response to the vehicle thermal management system starting instruction, acquire a starting duration required for the vehicle thermal management system of the target vehicle to reach a preset condition according to sensor data collected by a vehicle-mounted sensor of the target vehicle and the system starting information of the vehicle thermal management system, and control starting of the vehicle thermal management system of the target vehicle based on the current time, the starting duration and the predicted user getting-on time.

[0073] In a seventh aspect, the present application further provides a control device of a vehicle thermal management system, applied to a vehicle-mounted telematics processor of a target vehicle, comprising:

[0074] a time receiving module, configured to receive a predicted user pickup time and a predicted start time of the thermal management system of the vehicle sent by the cloud server, wherein the predicted start time is predicted by the cloud server according to the predicted user pickup time, environment state information and system start information of the thermal management system of the vehicle;

[0075] an instruction sending module, configured to send, to a vehicle controller of the target vehicle, a thermal management system start instruction carrying the predicted user pickup time, when the current time reaches the predicted start time; wherein the vehicle controller is configured to, in response to the thermal management system start instruction, acquire a start duration required for the thermal management system of the target vehicle to reach a preset condition according to sensor data collected by a vehicle-mounted sensor of the target vehicle and the system start information of the thermal management system of the vehicle, and control the thermal management system of the target vehicle to start based on the current time, the start duration and the predicted user pickup time.

[0076] In an eighth aspect, the present application further provides a vehicle comprising a memory and a processor, the memory storing a computer program, and the processor implementing the following steps when executing the computer program:

[0077] receive a thermal management system start instruction carrying a predicted user pickup time sent by a vehicle-mounted telematics processor of the target vehicle; wherein the thermal management system start instruction is sent by the vehicle-mounted telematics processor to a vehicle controller when the current time reaches a predicted start time of the thermal management system of the vehicle; and the predicted start time is predicted by a cloud server according to the predicted user pickup time, environment state information and system start information of the thermal management system of the vehicle;

[0078] in response to the thermal management system start instruction, acquire a start duration required for the thermal management system of the target vehicle to reach a preset condition according to sensor data collected by a vehicle-mounted sensor of the target vehicle and the system start information of the thermal management system of the vehicle;

[0079] control the thermal management system of the target vehicle to start based on the current time, the start duration and the predicted user pickup time.

[0080] In a ninth aspect, the present application further provides a computer readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the following steps:

[0081] receive a thermal management system start instruction carrying a predicted user pickup time sent by a vehicle-mounted telematics processor of the target vehicle; wherein the thermal management system start instruction is sent by the vehicle-mounted telematics processor to a vehicle controller when the current time reaches a predicted start time of the thermal management system of the vehicle; and the predicted start time is predicted by a cloud server according to the predicted user pickup time, environment state information and system start information of the thermal management system of the vehicle;

[0082] in response to the automobile thermal management system starting instruction, obtaining, according to sensor data collected by a vehicle-mounted sensor of the target vehicle and system starting information of the automobile thermal management system, a starting duration required for the automobile thermal management system of the target vehicle to reach a preset condition;

[0083] controlling starting of the automobile thermal management system of the target vehicle based on the current time, the starting duration and the predicted user getting-on time.

[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 an automobile thermal management system starting instruction carrying a predicted user getting-on time sent by a vehicle-mounted telematics processor of a target vehicle; wherein the automobile thermal management system starting instruction is sent by the vehicle-mounted telematics processor to a vehicle controller in the case that a current time reaches a predicted starting time of the automobile thermal management system; the predicted starting time is predicted by a cloud server according to the predicted user getting-on time, environmental state information and system starting information of the automobile thermal management system;

[0086] in response to the automobile thermal management system starting instruction, obtaining, according to sensor data collected by a vehicle-mounted sensor of the target vehicle and system starting information of the automobile thermal management system, a starting duration required for the automobile thermal management system of the target vehicle to reach a preset condition;

[0087] controlling starting of the automobile thermal management system of the target vehicle based on the current time, the starting duration and the predicted user getting-on time.

[0088] The control method, system, device, vehicle, computer readable storage medium and computer program product of the automobile thermal management system, by the cloud server, according to the predicted user getting-on time, the environmental state information and the system starting information of the automobile thermal management system, the predicted starting time of the automobile thermal management system is predicted, in the case that the current time reaches the predicted starting time, the vehicle-mounted telematics processor of the target vehicle generates the automobile thermal management system starting instruction carrying the predicted user getting-on time and sends it to the vehicle control unit of the target vehicle, the vehicle control unit responds to the automobile thermal management system starting instruction, according to the sensor data collected by the vehicle-mounted sensor of the target vehicle and the system starting information of the automobile thermal management system, the starting duration required for the automobile thermal management system of the target vehicle to reach the preset condition is obtained, and finally based on the current time, the starting duration and the predicted user getting-on time, the automobile thermal management system of the target vehicle is controlled to start. The predicted starting time of the automobile thermal management system is obtained through the cloud server, and the automobile thermal management system starting instruction carrying the predicted user getting-on time sent by the vehicle-mounted telematics processor after the current time reaches the predicted starting time is received, the starting duration corresponding to the system is obtained according to the sensor data collected by the vehicle-mounted sensor in response to the automobile thermal management system starting instruction, and finally the automobile thermal management system of the target vehicle is controlled to start according to the current time, the starting duration and the predicted user getting-on time, the automobile thermal management system starting instruction generated according to the predicted starting time is responded to, and the subsequent starting of the automobile thermal management system is executed, which ensures the timeliness of system control, and the pre-system control optimizes the in-vehicle environment, thereby improving the comfort of the user using the vehicle. BRIEF DESCRIPTION OF DRAWINGS

[0089] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related art, the drawings needed to be used in the description of the embodiments of the present application or the related art will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other related drawings can be obtained by those skilled in the art without creating any creative labor.

[0090] Figure 1 An application environment diagram of the control method of the automobile thermal management system in an embodiment;

[0091] Figure 2 A flowchart of the control method of the automobile thermal management system in an embodiment;

[0092] Figure 3 A flowchart of the control method of the automobile thermal management system in another embodiment;

[0093] Figure 4 A flowchart of the control method of the automobile thermal management system in another embodiment;

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

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

[0096] Figure 7 A functional setting option block diagram of a control method of an automotive thermal management system in another embodiment;

[0097] Figure 8 A functional implementation block diagram of a control method of an automotive thermal management system in one embodiment;

[0098] Figure 9a A flowchart of a control method of a passenger compartment air conditioning system in another embodiment;

[0099] Figure 9b A flowchart of a control method of a battery thermal management system in one embodiment;

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

[0101] Figure 11 A flowchart of a vehicle controller turning on a vehicle air conditioner in another embodiment;

[0102] Figure 12 A structure block diagram of a control device of an automotive thermal management system in one embodiment;

[0103] Figure 13 A structure block diagram of a control device of an automotive thermal management system in another embodiment;

[0104] Figure 14 A structure block diagram of a control device of an automotive thermal management system in another embodiment;

[0105] Figure 15 An internal structure diagram of a vehicle in one embodiment. DETAILED DESCRIPTION

[0106] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application is further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0107] The intelligent control methods of the vehicle air conditioner in the industry at present mainly have two kinds: remote control start / closure, automatic start / closure according to the air temperature setting of the passenger compartment;

[0108] The remote start / closure needs to be manually operated in advance through the APP or the remote control key, and the timeliness and efficiency are low, and it is easy to forget to operate to start the air conditioner in advance, the intelligent degree is insufficient, and the user experience is poor.

[0109] The automatic start / closure is set according to the passenger cabin air temperature, the energy consumption of the air conditioning system is large, and repeated start / closure will cause the service life of parts to decrease.

[0110] The control method of the automobile thermal management system provided by the embodiments of the application can be applied to the application environment as shown in Figure 1 The target vehicle communicates with the cloud server 104 through the network, and the target vehicle includes a vehicle controller 102 and a vehicle telematics processor 106, and is integrated with multiple vehicle sensors, is equipped with an automobile thermal management system, and further integrates a vehicle machine large screen to realize human-vehicle interaction. The user can set the corresponding control function through the vehicle machine large screen or the mobile phone APP, and the vehicle sensors include an outdoor temperature sensor, an indoor temperature sensor, a sunlight sensor, a front camera, a humidity sensor, a rain sensor, etc. The data storage system can store the data required to be processed by the cloud server 104. The data storage system can be integrated on the cloud server 104, or can be placed on the cloud or other network servers.

[0111] The cloud server 104 predicts the start time of the automobile thermal management system according to the predicted user getting-on time, the environmental state information and the system start time of the automobile thermal management system, obtains the predicted start time of the automobile thermal management system, and sends the predicted start time to the vehicle telematics processor 106 of the target vehicle. The vehicle telematics processor starts to monitor the time, generates an automobile thermal management system start instruction carrying the predicted user getting-on time and sends it to the vehicle controller 102 of the target vehicle in the case that the current time reaches the predicted start time, the vehicle controller 102 receives the automobile thermal management system start instruction carrying the predicted user getting-on time, and in response to the automobile thermal management system start instruction, acquires the start duration required for the automobile thermal management system of the target vehicle to reach the preset condition according to the sensor data collected by the vehicle sensors of the target vehicle and the system start information of the automobile thermal management system, and finally controls the start of the automobile thermal management system of the target vehicle based on the current time, the start duration and the predicted user getting-on time. The cloud server 104 can be a stand-alone physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0112] In an exemplary embodiment, as shown in Figure 2 A control method of an automobile thermal management system is provided, and the method is applied to Figure 1The vehicle controller 102 of the target vehicle is taken as an example for illustration, including the following steps S201 to S203. Among them:

[0113] In step S201, the vehicle controller 102 receives the automobile thermal management system starting instruction carrying the predicted user boarding time sent by the on-board telematics processor of the target vehicle. The automobile thermal management system starting instruction is sent by the on-board telematics processor to the vehicle controller in the case that the current time reaches the predicted starting time of the automobile thermal management system. The predicted starting time is predicted by the cloud server according to the predicted user boarding time, environmental state information and system starting information of the automobile thermal management system.

[0114] Among them, the on-board telematics processor can be understood as an electronic control unit or integrated system that receives, processes and transmits various information inside the vehicle. The vehicle controller can be understood as a central control unit that manages and coordinates various subsystems of the vehicle. The environmental state information can be understood as a series of natural factors such as natural environment information and natural weather data that may affect the starting of the vehicle. The system starting information can be understood as information reflecting the starting capability of the automobile thermal management system, which can include the operating condition and operating state of the automobile thermal management system. The automobile thermal management system can be understood as a comprehensive management system for controlling and regulating the temperature of the vehicle interior and key components.

[0115] Illustratively, the cloud server 104 predicts according to the predicted user boarding time, the environment where the target vehicle is parked, the weather forecast information of the region where the target vehicle is located, and the system starting information of the automobile thermal management system, that is, estimates how long the automobile thermal management system needs to start before the user boards to meet the user's comfortable driving experience. The predicted user boarding time is subtracted from the starting time of the automobile thermal management system to obtain the predicted starting time of the automobile thermal management system, and is sent to the on-board telematics processor 106 of the target vehicle. The on-board telematics processor 106 performs time monitoring, and generates an automobile thermal management system starting instruction carrying the predicted user boarding time and sends it to the vehicle controller 102 of the target vehicle in the case that the current time reaches the predicted starting time of the automobile thermal management system. The vehicle controller 102 receives the automobile thermal management system starting instruction.

[0116] Based on the foregoing embodiments, the cloud server combines the user boarding time, environmental weather information and starting information of the target vehicle to predict and adjust the starting time of the thermal management system in advance. The on-board telematics processor of the target vehicle performs time monitoring to generate a starting instruction. The vehicle controller of the target vehicle only needs to wait for the incoming corresponding instruction, greatly reducing the starting amount required to be processed by the vehicle controller, and thereby improving the starting cost of the vehicle controller, laying a data foundation for subsequent response to the automobile thermal management system starting instruction and execution of the starting of the automobile thermal management system of the target vehicle.

[0117] In step S202, in response to the automobile thermal management system starting instruction, the starting time length required for the automobile thermal management system of the target vehicle to reach the preset condition is obtained according to the sensor data collected by the on-board sensors of the target vehicle and the system starting information of the automobile thermal management system.

[0118] The on-board sensors can be understood as sensor devices that collect various physical information of the vehicle and its surrounding environment, and the preset condition can be understood as including that the starting state of the vehicle itself reaches the best, or that the user-perceptible external state reached by the vehicle after starting reaches the best, so that the user's vehicle experience reaches the best. The starting time length can be understood as the starting time length required for the automobile thermal management system to reach the preset condition.

[0119] In an exemplary embodiment, the whole vehicle controller 102 responds to the automobile thermal management system starting instruction, obtains the sensor data collected by each on-board sensor of the target vehicle, and calculates according to each sensor data and the system starting information of the automobile thermal management system to obtain the starting time length required for the corresponding vehicle internal workpiece to reach the best state after the automobile thermal management system of the target vehicle is started, or the starting time length required for the temperature inside the vehicle to reach the most suitable temperature.

[0120] According to the above embodiment, by using the real-time data collected by the on-board sensors and combining the system starting information, the controller can accurately evaluate the starting time length required for each workpiece or environment inside the target vehicle to reach the ideal starting state, improve the accuracy of the obtained starting time length, and further ensure the starting accuracy of the automobile thermal management system, avoid early or delayed starting to affect the user's vehicle experience, and ensure the control timeliness of the system control.

[0121] In step S203, the automobile thermal management system of the target vehicle is controlled to start based on the current time, the starting time length, and the predicted user getting-in time.

[0122] Exemplarily, the vehicle controller 102 uses the current time, the predicted user getting-on time and the preset time quota to construct a start duration threshold, compares the start duration with the start duration threshold, and in the case that the start duration is less than or equal to the start duration threshold, it is indicated that the predicted start time for the automobile thermal management system is reasonable, and the automobile thermal management system can be started; in the case that the start duration is greater than the start duration threshold, it is indicated that the predicted start time for the automobile thermal management system is unreasonable, that is, if the automobile thermal management system is started, the preset condition will be reached a long time before the user formally gets on the vehicle, and the subsequent maintenance of the condition will consume excessive cost, therefore, the delayed start duration of the automobile thermal management system is calculated according to the predicted user getting-on time, the current time, the time quota and the start duration, and after the current time passes the delayed start duration, the start instruction of the automobile thermal management system sent by the vehicle telematics processor 106 is received to control the start of the automobile thermal management system.

[0123] Based on the foregoing embodiments, by establishing a start duration threshold (the threshold value is jointly determined by the current time, the predicted user getting-on time and the preset time quota), the system can judge the rationality of the current predicted start time in real time, ensure that the thermal management system is started at the most suitable time, avoid energy waste and discomfort caused by early or delayed start, improve the user's driving experience and ensure the timeliness of system control.

[0124] In the control method of the automobile thermal management system, the cloud server predicts the predicted starting time of the automobile thermal management system according to the predicted user getting-on time, the environmental state information and the system starting information of the automobile thermal management system. When the current time reaches the predicted starting time, the on-board telematics processor of the target vehicle generates an automobile thermal management system starting instruction carrying the predicted user getting-on time and sends it to the vehicle controller of the target vehicle. The vehicle controller responds to the automobile thermal management system starting instruction, acquires the starting duration required for the automobile thermal management system of the target vehicle to reach the preset condition according to the sensor data collected by the on-board sensor of the target vehicle and the system starting information of the automobile thermal management system, and finally controls the starting of the automobile thermal management system of the target vehicle based on the current time, the starting duration and the predicted user getting-on time. The cloud server acquires the predicted starting time of the automobile thermal management system, receives the automobile thermal management system starting instruction carrying the predicted user getting-on time sent by the on-board telematics processor when the current time reaches the predicted starting time, responds to the automobile thermal management system starting instruction, acquires the corresponding starting duration of the system according to the sensor data collected by the on-board sensor, and finally controls the starting of the automobile thermal management system of the target vehicle according to the current time, the starting duration and the predicted user getting-on time. By responding to the automobile thermal management system starting instruction generated according to the predicted starting time, the subsequent starting of the automobile thermal management system is executed, the timeliness of system control is ensured, the in-vehicle environment is optimized by the pre-system control starting, and the comfort of the user using the vehicle is improved.

[0125] In one embodiment, the automobile thermal management system includes a passenger compartment air conditioning system; receiving the automobile thermal management system starting instruction carrying the predicted user getting-on time sent by the on-board telematics processor of the target vehicle includes: receiving the passenger compartment air conditioning starting instruction carrying the predicted user getting-on time sent by the on-board telematics processor of the target vehicle; wherein the automobile thermal management system starting instruction is sent by the on-board telematics processor to the vehicle controller when the current time reaches the predicted first starting time of the passenger compartment air conditioning system; the predicted first starting time is predicted by the cloud server according to the predicted user getting-on time, the environmental state information and the system starting information of the passenger compartment air conditioning system;

[0126] In response to the automobile thermal management system starting instruction, the starting time length required for the automobile thermal management system of the target vehicle to reach the preset condition is obtained according to the sensor data collected by the on-board sensors of the target vehicle and the system starting information of the automobile thermal management system, including: in response to the passenger compartment air conditioning system starting instruction, the sensor data collected by the image sensor, the temperature sensor, the humidity sensor, the sunlight sensor and the rainfall sensor of the target vehicle is obtained; according to the sensor data and the system starting information of the passenger compartment air conditioning system, the first starting time length required for the internal temperature of the passenger compartment of the target vehicle to reach the preset first temperature when the passenger compartment air conditioning system of the target vehicle is running is obtained.

[0127] Based on the current time, the starting time length and the predicted user getting-in time, the automobile thermal management system of the target vehicle is controlled to start, including: based on the current time, the first starting time length and the predicted user getting-in time, the passenger compartment air conditioning system of the target vehicle is controlled to start.

[0128] The passenger compartment air conditioning system can be understood as a system for adjusting and controlling the air temperature, humidity and air quality in the vehicle interior passenger compartment, the image sensor can be understood as a 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 can include an outside temperature sensor for collecting environmental temperature, an inside temperature sensor for collecting vehicle interior temperature and a battery temperature sensor for collecting battery temperature, the humidity sensor can be understood as a sensor for collecting air humidity, which can include an outside humidity sensor for collecting environmental humidity, an inside humidity sensor for collecting vehicle interior humidity, etc., the sunlight sensor can be understood as a sensor for collecting light intensity, and the rainfall sensor can be understood as a sensor for collecting rainfall signal; the preset first temperature can be understood as a temperature that makes the user sitting in the vehicle feel comfortable.

[0129] In an exemplary embodiment, when the control is performed on the passenger compartment air conditioning system in the automobile thermal management system, the cloud server 104 performs prediction according to the predicted user getting-in time, the environment where the target vehicle is parked and the weather forecast information of the region where the target vehicle is located, the system starting information of the passenger compartment air conditioning system, that is, estimates how long the passenger compartment air conditioning system needs to start before the user gets in to meet the user's comfortable experience of using the vehicle, uses the predicted user getting-in time minus the starting time length of the passenger compartment air conditioning system to obtain the predicted starting time of the passenger compartment air conditioning system, and sends it to the on-board telematics processor 106 of the target vehicle, which performs time monitoring; in the case that the current time reaches the predicted starting time of the automobile thermal management system, the passenger compartment air conditioning system starting instruction carrying the predicted user getting-in time is generated and sent to the vehicle controller 102 of the target vehicle, and the vehicle controller 102 receives the passenger compartment air conditioning system starting instruction;

[0130] In response to the passenger compartment air conditioning system starting instruction, image data collected by an image sensor of the target vehicle, outside temperature and inside temperature collected by a temperature sensor, outside humidity and inside humidity collected by a humidity sensor, light intensity collected by a sunlight sensor, and rainfall data collected by a rainfall sensor are acquired, and a first starting time length required for the inside temperature of the passenger compartment of the target vehicle to reach a preset first temperature (i.e., a temperature at which a human feels comfortable) when the passenger compartment air conditioning system of the target vehicle is running is calculated according to the image data, the outside temperature, the inside temperature, the outside humidity, the inside humidity, the light intensity, and the rainfall data, and the system starting information of the passenger compartment air conditioning system.

[0131] The vehicle controller 102 compares the first starting time length with a starting time length threshold value constructed by using the current time, the predicted user getting-in time, and a preset time allowance. If the first starting time length is less than or equal to the starting time length threshold value, it indicates that the predicted starting time for the passenger compartment air conditioning system is reasonable, and the passenger compartment air conditioning system can be started. If the first starting time length is greater than the starting time length threshold value, it indicates that the predicted starting time for the passenger compartment air conditioning system is unreasonable, i.e., if the passenger compartment air conditioning system is started, the preset condition will be met a long time before the user actually gets in, and the subsequent maintenance of the condition will consume extra cost. Therefore, a first delayed starting time length of the passenger compartment air conditioning system is calculated according to the predicted user getting-in time, the current time, the time allowance, and the starting time length. After the current time elapses the first delayed starting time length, the passenger compartment air conditioning system starting instruction carrying the predicted user getting-in time and sent by the vehicle telematics processor 106 is received, and the passenger compartment air conditioning system is controlled to start.

[0132] According to the foregoing embodiment, the predicted starting time of the passenger compartment air conditioning system is acquired by the cloud server, and the passenger compartment air conditioning system starting instruction carrying the predicted user getting-in time and sent by the vehicle telematics processor after the current time reaches the predicted starting time is received. In response to the passenger compartment air conditioning system starting instruction, the first starting time length corresponding to the system is acquired according to the sensor data collected by the vehicle sensor. Finally, the passenger compartment air conditioning system of the target vehicle is controlled to start according to the current time, the first starting time length, and the predicted user getting-in time. By responding to the passenger compartment air conditioning system starting instruction generated according to the predicted starting time, the subsequent starting of the passenger compartment air conditioning system is performed, the timeliness of the passenger compartment air conditioning system control is ensured, the in-vehicle temperature environment is optimized by the previous system control starting, and thus the comfort of the user in the vehicle is improved.

[0133] In one of the embodiments, after the passenger cabin air conditioning system of the target vehicle is controlled to start, the method further comprises: in the case that the unlocking signal or the door opening signal is received within the preset time window, obtaining the current internal temperature of the passenger cabin of the target vehicle; and determining whether to continue running the passenger cabin air conditioning system according to the current internal temperature and the preset first temperature.

[0134] Exemplarily, after the passenger cabin air conditioning system of the target vehicle is controlled to start, within the preset running time window of the passenger cabin air conditioning system, if the signal of the door opening monitored by the vehicle controller 102 or the unlocking signal of the air conditioner remote control, the vehicle controller 102 obtains the current internal temperature of the passenger cabin of the target vehicle, and according to the comparison relationship between the current internal temperature and the preset first temperature (i.e. the temperature that people feel comfortable), in the case that the current internal temperature reaches the preset first temperature, the passenger cabin air conditioning system is stopped to continue running, and in the case that the current internal temperature does not reach the preset first temperature, the passenger cabin air conditioning system is controlled to continue running, including: in the case that the current internal temperature is less than the preset first temperature, the passenger cabin air conditioning system is controlled to continue heating air, or in the case that the current internal temperature is greater than the preset first temperature, the passenger cabin air conditioning system is controlled to continue refrigeration.

[0135] Based on the above-mentioned embodiments, by monitoring the temperature inside the passenger cabin in real time and comparing it with the preset comfortable temperature (first temperature), it is ensured that the air conditioning system stops or continues running at the appropriate time, avoiding unnecessary energy consumption, reducing energy waste of air conditioning operation, improving the overall energy efficiency of the vehicle, and at the same time ensuring the best user experience of using the vehicle.

[0136] In one of the embodiments, according to the current internal temperature and the preset first temperature, it is determined whether to continue running the passenger cabin air conditioning system, including: in the case that the current internal temperature reaches the preset first temperature, the passenger cabin air conditioning system is controlled to stop running, and the passenger cabin air conditioning system is controlled to return to the last start state; in the case that the current internal temperature does not reach the preset first temperature, the user is inquired through the large screen of the vehicle machine of the target vehicle, and according to the inquiry result, the passenger cabin air conditioning system is controlled to continue running, or the passenger cabin air conditioning system is controlled to return to the last start state.

[0137] In one exemplary embodiment, in the case that the current internal temperature reaches a preset first temperature (i.e. a temperature at which a human feels comfortable), it is indicated that the temperature in the vehicle of the target vehicle has met the comfort requirement of the human, and the passenger cabin air conditioning system needs to continue to run to adjust the temperature in the vehicle. The vehicle controller 102 controls the passenger cabin air conditioning system to stop running and controls the passenger cabin air conditioning system to return to the last start state to wait for further control. In the case that the current internal temperature does not reach the preset first temperature, the target vehicle's car machine large screen initiates an inquiry to the user about whether to return to the last start state. In the case that the inquiry result is not to return to the last start state, the vehicle controller 102 controls the passenger cabin air conditioning system to continue to run. In the case that the inquiry result is to return to the last start state, the vehicle controller 102 controls the passenger cabin air conditioning system to return to the last start state.

[0138] According to the foregoing embodiments, in the case that the internal temperature meets the standard, the passenger cabin air conditioning system is controlled to stop running, avoiding invalid resource consumption. In the case that the internal temperature does not meet the standard, information interaction is carried out between the target vehicle's car machine large screen and the user, and according to the user's selection, it is decided whether to continue the current air conditioning running or return to the last state, avoiding unnecessary energy consumption, saving energy, improving vehicle energy efficiency, setting a clear system start state rollback mechanism, reducing misoperation or unnecessary system switching, and ensuring the stability and reliability of the air conditioning start process.

[0139] In one of the embodiments, after the passenger cabin air conditioning system returns to the last start state, it includes: in the case that the last start state does not match the current environment of the target vehicle, controlling the passenger cabin air conditioning system to retain the current start state.

[0140] Exemplarily, after the vehicle controller 102 controls the passenger cabin air conditioning system to return to the last start state, in the case that the last start state does not match the current environment of the target vehicle, for example, the last start state is to perform air heating, and the current environment is a summer with a relatively high temperature. Obviously, it is not suitable to continue the last start state to cope with the current environment, and therefore the vehicle controller 102 controls the passenger cabin air conditioning system to retain the current start state. Similarly, the last start state is to perform air cooling, and the current environment is a winter with a relatively low temperature. Obviously, it is not suitable to continue the last start state to cope with the current environment, and therefore the vehicle controller 102 controls the passenger cabin air conditioning system to retain the current start state.

[0141] Based on the foregoing embodiments, by judging the matching degree of the last start state and the current environment, it is ensured that the running mode of the air conditioning system matches the actual environment, avoiding operation that does not adapt to seasonal or environmental changes, saving energy, reducing unnecessary energy consumption, improving overall energy efficiency, and at the same time, ensuring that the temperature adjustment in the vehicle is closer to the actual demand, and improving the riding experience.

[0142] In one embodiment, after the control of starting the passenger cabin air conditioning system of the target vehicle, further comprising:

[0143] In a case where the ambient temperature of the environment where the target vehicle is located is greater than the first ambient temperature, the passenger cabin air conditioning system is controlled to enter an automatic operation mode; in a case where the ambient temperature is less than the second ambient temperature, if it is determined that the windshield of the target vehicle is fogged according to the sensor data collected by the image sensor, the humidity sensor, the temperature sensor and the rain sensor, the passenger cabin air conditioning system is controlled to enter a defogging mode; the second ambient temperature is lower than the first ambient temperature;

[0144] In a case where 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 cabin air conditioning system is controlled to enter a ventilation mode, and in a case where it is determined that the windshield of the target vehicle is fogged according to the sensor data collected by the image sensor, the humidity sensor, the temperature sensor and the rain sensor, and the temperature inside the vehicle collected by the temperature sensor is greater than the first ambient temperature, the passenger cabin air conditioning system is controlled to start the compressor to cool or dehumidify.

[0145] Among them, the first ambient temperature can be understood as a higher temperature end value for selecting the starting mode of the passenger cabin air conditioning system, and the second ambient temperature can be understood as a lower temperature end value for selecting the starting mode of the passenger cabin air conditioning system.

[0146] In one exemplary embodiment, in a case where the ambient temperature of the environment where the target vehicle is located is greater than the first ambient temperature, the vehicle controller 102 controls the passenger cabin air conditioning system to enter an automatic operation mode; in a case where the ambient temperature is less than the second ambient temperature, the vehicle controller 102 controls the passenger cabin air conditioning system to enter a defogging mode according to the vehicle front vision information collected by the image sensor, the humidity inside and outside the vehicle collected by the humidity sensor, the temperature inside and outside the vehicle collected by the temperature sensor and the rain signal collected by the rain sensor; in a case where 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 cabin air conditioning system to enter a ventilation mode, and according to the vehicle front vision information, the humidity inside and outside the vehicle, the temperature inside and outside the vehicle and the rain signal, it is determined that the windshield of the target vehicle is fogged, and in a case where the temperature inside the vehicle collected by the temperature sensor is greater than the first ambient temperature, the vehicle controller 102 controls the passenger cabin air conditioning system to start the compressor to cool or dehumidify.

[0147] According to the foregoing embodiment, under different environmental conditions, the vehicle controller 102 controls the passenger cabin air conditioning system to reasonably switch the starting mode (such as: ventilation mode, refrigeration, dehumidification, etc.), avoids unnecessary energy consumption, improves energy efficiency, ensures the comfort of users in the vehicle, and thus improves the user's driving experience. In addition, according to the environment and visual perception, the air conditioning mode (such as: ventilation, defogging, refrigeration or dehumidification) is autonomously adjusted, the burden of manual operation of the driver is reduced, and the ability of intelligent control is enhanced.

[0148] In one of the embodiments, the automobile thermal management system includes a battery thermal management system; receiving the automobile thermal management system starting instruction sent by the on-board telematics processor of the target vehicle and carrying the predicted user getting-on time, including: receiving the battery thermal management system starting instruction sent by the on-board telematics processor of the target vehicle and carrying the predicted user getting-on time; wherein the battery thermal management system starting instruction is sent by the on-board telematics processor to the vehicle controller in the case that the current time reaches the predicted starting time of the battery thermal management system; the predicted starting time is predicted by the cloud server according to the predicted user getting-on time, the environmental state information and the system starting information of the battery thermal management system;

[0149] In response to the automobile thermal management system starting instruction, the starting time length required for the automobile thermal management system of the target vehicle to reach the preset condition is obtained according to the sensor data collected by the on-board sensor of the target vehicle and the system starting information of the automobile thermal management system, including: in response to the battery thermal management system starting instruction, the sensor data collected by the outside temperature sensor and the cell temperature sensor of the target vehicle is obtained; according to the sensor data and the starting information of the battery thermal management system, the second starting time length required for the cell temperature of the battery of the target vehicle to reach the preset second temperature when the battery thermal management system of the target vehicle is running is obtained;

[0150] Based on the current time, the starting time length and the predicted user getting-on time, the automobile thermal management system of the target vehicle is controlled to start, including: based on the current time, the second starting time length and the predicted user getting-on time, the battery thermal management system of the target vehicle is controlled to start.

[0151] The battery thermal management system can be understood as a subsystem for controlling the temperature of the vehicle battery pack, the outside temperature sensor can be understood as a sensor for collecting the outside temperature, the cell temperature sensor can be understood as a sensor for collecting the temperature of the battery cell, and the preset second temperature can be understood as the cell temperature at which the battery operates most efficiently.

[0152] Exemplarily, when performing control on the battery thermal management system in the automobile thermal management system, the cloud server 104 performs prediction on the system starting information of the battery thermal management system according to the predicted user getting-on time, the environment where the target vehicle is parked, and the meteorological forecast information of the region where the target vehicle is located, that is, estimates how long the battery thermal management system needs to start before the user gets on the vehicle to meet the user's comfortable experience of using the vehicle. The predicted user getting-on time is subtracted by the starting time of the battery thermal management system to obtain the predicted starting time of the battery thermal management system, and the predicted starting time of the battery thermal management system is sent to the vehicle-mounted telematics processor 106 of the target vehicle. The vehicle-mounted telematics processor 106 performs time monitoring. In the case that the current time reaches the predicted starting time of the automobile thermal management system, the battery thermal management system starting instruction carrying the predicted user getting-on time is generated and sent to the vehicle control unit 102 of the target vehicle. The vehicle control unit 102 receives the battery thermal management system starting instruction.

[0153] In response to the battery thermal management system starting instruction, the outside temperature of the target vehicle collected by the outside temperature sensor and the battery cell temperature collected by the battery cell temperature sensor are obtained. According to the outside temperature and the battery cell temperature, and the system starting information of the battery thermal management system, the second starting time required for the interior temperature of the passenger compartment of the target vehicle to reach the preset second temperature (i.e. the temperature that the human body feels comfortable) when the battery thermal management system of the target vehicle is running is calculated.

[0154] The vehicle control unit 102 uses the current time, the predicted user getting-on time, and the pre-set time allowance to construct a starting time threshold. The second starting time and the starting time threshold are compared in size. In the case that the second starting time is less than or equal to the starting time threshold, it means that the predicted starting time of the battery thermal management system is reasonable, and the battery thermal management system can be started. In the case that the second starting time is greater than the starting time threshold, it means that the predicted starting time of the battery thermal management system is unreasonable, that is, if the battery thermal management system is started, the preset condition will be reached a long time before the user gets on the vehicle, and the subsequent maintenance of the condition will consume extra cost. Therefore, the second delay starting time of the battery thermal management system is calculated according to the predicted user getting-on time, the current time, the time allowance, and the starting time. After the current time passes the second delay starting time, the battery thermal management system starting instruction re-sent by the vehicle-mounted telematics processor 106 is received, and the battery thermal management system is controlled to start.

[0155] Based on the above embodiment, the predicted start-up time of the battery thermal management system is obtained through the cloud server, and the battery thermal management system start-up instruction carrying the predicted user boarding time sent by the vehicle-mounted telematics processor after the current time reaches the predicted start-up time is received. In response to the battery thermal management system start-up instruction, the second start-up duration corresponding to the system is obtained according to the sensor data collected by the vehicle-mounted sensor, and finally the battery thermal management system of the target vehicle is controlled according to the current time, the second start-up duration and the predicted user boarding time. By responding to the battery thermal management system start-up instruction generated according to the predicted start-up time, the subsequent start-up of the battery thermal management system is executed, which ensures the timeliness of the battery thermal management system control, and the pre-system control start-up adjusts the cell temperature, ensures the battery to start in the optimal state, and reduces the invalid cost consumption of the battery start-up.

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

[0157] In one exemplary embodiment, after the vehicle control unit 102 controls the start-up of the battery thermal management system of the target vehicle, the vehicle control unit 102 continuously obtains the current cell temperature of the battery of the target vehicle. In the case that the current cell temperature reaches a preset second temperature, i.e. the current battery start-up efficiency has reached the optimum, the vehicle control unit 102 controls the battery thermal management system to stop running; in the case that the current cell temperature does not reach the preset second temperature, the vehicle control unit 102 controls the battery thermal management system to continue running, including: in the case that the current cell temperature is less than the preset second temperature, the vehicle control unit 102 controls the battery thermal management system to perform heating operation on the battery; in the case that the current cell temperature is greater than the preset second temperature, the vehicle control unit 102 controls the battery thermal management system to perform refrigeration operation on the battery.

[0158] According to the foregoing embodiment, the vehicle control unit monitors the temperature in real time, avoids the battery temperature being too high to cause thermal runaway or too low to cause performance decline, effectively prevents potential safety risks, and in the case that the cell temperature does not meet the standard, controls the battery thermal management system to perform heating or refrigeration on the battery, so that the cell temperature meets the preset second temperature, and ensures the battery to run in the best start-up temperature range, maximizes the energy output and cycle efficiency.

[0159] In one of the embodiments, based on the current time, the starting duration and the predicted user pickup time, the automobile thermal management system of the starting target vehicle is controlled, comprising: constructing a duration threshold according to the current time and the predicted user pickup time; in the case that the starting duration is less than or equal to the duration threshold, the automobile thermal management system of the starting target vehicle is controlled, and the vehicle behavior information of the target vehicle is returned to the cloud server.

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

[0161] Exemplarily, the vehicle controller 102 constructs the duration threshold for the target vehicle according to the current time, the predicted user pickup time and the pre-set time allowance. The passenger cabin air conditioning system and the incandescent thermal management system are two parallel and independent systems. For the first starting duration corresponding to the passenger cabin air conditioning system in the automobile thermal management system, in the case that the first starting duration is less than or equal to the duration threshold, the vehicle controller 102 controls the starting of the passenger cabin air conditioning system of the target vehicle, and returns the vehicle behavior information of the target vehicle to the cloud server 104, so as to be used by the cloud server 104 to predict the user pickup time next time by using the user behavior information this time; for the second starting duration corresponding to the battery thermal management system in the automobile thermal management system, in the case that the second starting duration is less than or equal to the duration threshold, the vehicle controller 102 controls the starting of the battery thermal management system of the target vehicle, and returns the vehicle behavior information of the target vehicle to the cloud server 104, so as to be used by the cloud server 104 to predict the user pickup time next time by using the user behavior information this time.

[0162] Based on the above embodiments, the system is started under the condition that the first starting duration or the second starting duration does not exceed the threshold value, so as to ensure that the opening of the system has a reasonable prediction basis, thereby reducing unnecessary energy consumption. After each operation, the vehicle behavior information is uploaded to the cloud, so as to provide data for the cloud server, which is used to predict the user pickup time next time, and continuously optimize the prediction model and the vehicle response strategy.

[0163] In one of the embodiments, the method further comprises: in the case that the starting duration is greater than the duration threshold, obtaining a delayed starting duration of the automobile thermal management system based on the current time, the predicted user pickup time and the starting duration; sending the delayed starting duration to the vehicle telematics processor, and receiving a new automobile thermal management system starting instruction re-sent by the vehicle telematics processor after the current time passes the delayed starting duration; in response to the new automobile thermal management system starting instruction, controlling the starting of the automobile thermal management system of the target vehicle, and returning the vehicle behavior information of the target vehicle to the cloud server.

[0164] In an exemplary embodiment, for the passenger cabin air conditioning system, if the first start-up duration is greater than the duration threshold, it indicates that the predicted start-up time for the passenger cabin air conditioning system is unreasonable, i.e., if the passenger cabin air conditioning system is started, the internal temperature will reach the preset first temperature a long time before the user officially gets in the vehicle, and the subsequent condition maintenance will consume excessive cost. The vehicle controller 102 obtains the first delayed start-up duration of the passenger cabin air conditioning system based on the current time, the predicted user getting-in time, the pre-set time allowance, and the start-up duration, and sends the first delayed start-up duration to the vehicle telematics processor 106. The vehicle telematics processor 106 re-sends a new passenger cabin air conditioning system start-up instruction after monitoring that the current time has passed the first delayed start-up duration. The vehicle controller 102 responds to the new passenger cabin air conditioning system start-up instruction to control the start-up of the passenger cabin air conditioning system of the target vehicle, and returns the user behavior information of the target vehicle to the cloud server 104 for the cloud server 104 to use the user behavior information this time to predict the user getting-in time next time.

[0165] For the battery thermal management system, if the second start-up duration is greater than the duration threshold, it indicates that the predicted start-up time for the battery thermal management system is unreasonable, i.e., if the battery thermal management system is started, the battery temperature will reach the preset second temperature a long time before the user officially gets in the vehicle, and the subsequent condition maintenance will consume excessive cost. The vehicle controller 102 obtains the second delayed start-up duration of the battery thermal management system based on the current time, the predicted user getting-in time, the pre-set time allowance, and the start-up duration, and sends the second delayed start-up duration to the vehicle telematics processor 106. The vehicle telematics processor 106 re-sends a new battery thermal management system start-up instruction after monitoring that the current time has passed the second delayed start-up duration. The vehicle controller 102 responds to the new battery thermal management system start-up instruction to control the start-up 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 for the cloud server 104 to use the user behavior information this time to predict the user getting-in time next time.

[0166] According to the foregoing embodiments, by dynamically adjusting the start-up timing of the passenger cabin air conditioning system and the battery thermal management system, it is ensured that the system will not run ahead to a time point causing excessive energy consumption, energy is saved, cost is reduced, and by using information such as the predicted user getting-in time and the start-up duration, a reasonable delayed start-up duration is dynamically calculated, so as to prepare in advance and avoid starting too early, and the intelligent level of the system is improved.

[0167] In an exemplary embodiment, as shown in Figure 3 a control method of an automobile thermal management system is provided, and the method is applied to a vehicle controller 102, a vehicle telematics processor 106, and a cloud server 104. Figure 1The cloud server 104 in the system 100 is taken as an example to illustrate the method, including the following steps S301-S303. Wherein:

[0168] In step S301, the predicted user getting-on time of the target vehicle, the system starting information of the automobile thermal management system, and the environment state information are obtained.

[0169] For example, the cloud server 104 can obtain the user's driving behavior information set for the target vehicle through the car machine large screen or the user terminal associated with the target vehicle, obtain the predicted user getting-on time of the target vehicle according to the driving behavior information, or obtain the predicted user getting-on time of the target vehicle according to the historical driving behavior information of the target vehicle received, or obtain the predicted user getting-on time of the target vehicle according to the historical driving behavior information associated with the target vehicle and the driving behavior information set for the target vehicle, obtain the system starting information of the automobile thermal management system, and obtain the environment state of the parking place of the target vehicle and the weather forecast information of the region where the target vehicle is located.

[0170] Based on the above embodiment, the cloud server obtains the predicted user getting-on time, the system starting information of the automobile thermal management system, and the environment state information, which lays a data foundation for subsequent realization of the acquisition of the predicted starting time of the automobile thermal management system.

[0171] In step S302, the predicted starting time of the automobile thermal management system is obtained by predicting according to the predicted user getting-on time, the environment state information, and the system starting information of the automobile thermal management system.

[0172] In an exemplary embodiment, the cloud server 104 predicts according to the predicted user getting-on time, the environment of the parking place of the target vehicle, the weather forecast information of the region where the target vehicle is located, and the system starting information of the automobile thermal management system, i.e. estimates how long the automobile thermal management system needs to start before the user gets on to meet the user's comfortable driving experience, and obtains the predicted starting time of the automobile thermal management system by subtracting the starting time of the automobile thermal management system from the predicted user getting-on time.

[0173] According to the foregoing embodiment, the cloud estimates the starting time of the thermal management system according to the predicted user getting-on time and the environment weather information, thereby improving the accuracy of the predicted starting time of the automobile thermal management system obtained, and further ensuring the control accuracy when the predicted starting time is used for subsequent system control.

[0174] In step S303, the predicted user boarding time and the predicted starting time are sent to the on-board telematics processor of the target vehicle; in the case where the current time reaches the predicted starting time, the on-board telematics processor generates and sends a vehicle thermal management system starting instruction to the vehicle controller of the target vehicle; the vehicle thermal management system starting instruction carries the predicted user boarding time.

[0175] The vehicle controller is configured to, in response to the vehicle thermal management system starting instruction, obtain, according to the sensor data collected by the on-board sensors of the target vehicle and the system starting information of the vehicle thermal management system, a starting duration required for the vehicle thermal management system of the target vehicle to reach a preset condition, and control the starting of the vehicle thermal management system of the target vehicle based on the current time, the starting duration and the predicted user boarding time.

[0176] For example, the cloud server 104 sends the predicted user boarding time and the predicted starting time to the on-board telematics processor 106 of the target vehicle, and the on-board telematics processor 106 performs time monitoring; in the case where the current time reaches the predicted starting time, the on-board telematics processor 106 initiates a vehicle thermal management system starting instruction carrying the predicted user boarding time to the vehicle controller 102 of the target vehicle; the vehicle controller 102 obtains the sensor data collected by the on-board sensors of the target vehicle, respectively, and calculates the starting duration required for the vehicle thermal management system of the target vehicle to reach the best state of the vehicle internal workpiece or the most suitable temperature of the vehicle interior after starting, according to the sensor data and the system starting information of the vehicle thermal management system; the vehicle controller 102 constructs a starting duration threshold value by using the current time, the predicted user boarding time and the pre-set time allowance, compares the starting duration with the starting duration threshold value, and in the case where the starting duration is less than or equal to the starting duration threshold value, it is indicated that the predicted starting time for the vehicle thermal management system is reasonable, and the vehicle thermal management system can be started; in the case where the starting duration is greater than the starting duration threshold value, it is indicated that the predicted starting time for the vehicle thermal management system is unreasonable, that is, if the vehicle thermal management system is started, the preset condition will be reached a long time before the user formally boards, and the subsequent maintenance of the condition will consume extra cost, therefore, the delayed starting duration of the vehicle thermal management system is calculated according to the predicted user boarding time, the current time, the time allowance and the starting duration, and after the current time passes the delayed starting duration, the vehicle thermal management system starting instruction re-sent by the on-board telematics processor 106 is received to control the starting of the vehicle thermal management system.

[0177] Based on the above embodiments, the cloud server sends the predicted start-up time of the vehicle thermal management system and the predicted boarding time corresponding to the target vehicle to the vehicle remote information processor of the target vehicle. The vehicle remote information processor serves as a central command to initiate the speed of the vehicle controller to which the command is transmitted, and the internal command input ensures the integrity and effectiveness of the command, thereby improving the control timeliness of the system control.

[0178] In one embodiment, the predicted user boarding time of the target vehicle is obtained, including:

[0179] The historical vehicle use behavior information associated with the target vehicle is obtained, and the predicted user boarding time of the target vehicle is obtained according to the historical vehicle use behavior information; or, the vehicle use behavior information set by the user for the target vehicle is obtained from the vehicle machine large screen of the target vehicle or the user terminal associated with the target vehicle, and the predicted user boarding time of the target vehicle is obtained based on the vehicle use behavior information; or, the predicted user boarding time of the target vehicle is obtained according to the historical vehicle use behavior information associated with the target vehicle and the vehicle use behavior information set for the target vehicle.

[0180] The vehicle machine large screen can be understood as an electronic display device for information interaction between the vehicle and the user, and can include an electronic display device integrating multiple functions such as information display, entertainment control, navigation, vehicle state monitoring, and Internet of Vehicles operation.

[0181] In an exemplary embodiment, the cloud server 104 obtains the historical vehicle use behavior information associated with the target vehicle from the cloud storage platform, statistically analyzes the data according to the historical vehicle use behavior information, and thus predicts the predicted user boarding time of the target vehicle; or, in the case where the target vehicle does not have a use record, i.e., the cloud server 104 cannot make a prediction according to the historical vehicle use behavior information, the cloud server 104 obtains the vehicle use behavior information set by the user for the target vehicle from the target vehicle's car machine large screen or the user terminal associated with the target vehicle, which can include setting a function option through the car machine large screen and the mobile phone APP. Whether the function option is set on the car machine large screen or the mobile phone APP, it will take effect and be displayed synchronously. The function option includes three options of AI intelligent start, timing start, and off function. The AI intelligent start can further set an automatic holiday recognition function to avoid energy waste caused by the intelligent control system still automatically starting during holidays when the vehicle is not used. The AI intelligent start can also avoid the situation that the intelligent control system cannot recognize the vehicle use rule after long-time parking during holidays, resulting in failure to effectively start. In addition, the timing start function can provide the user with free selection conditions. For users with irregular vehicle use, the user can receive a set start plan according to the vehicle use needs every day or every week. The last one is the off function, which can be manually turned off when the user does not need to use it. In addition, the mobile phone APP also retains a remote manual start function option in addition to the above three function options, so that the user can manually start remotely when the user needs to use the vehicle temporarily. Thus, the predicted user boarding time of the target vehicle can be obtained according to the vehicle use behavior information, or in the case where there are both a use record and a set content, the cloud server 104 obtains the predicted user boarding time of the target vehicle according to the historical vehicle use behavior information and the vehicle use behavior information set in advance for the target vehicle.

[0182] According to the foregoing embodiments, the predicted user boarding time of the target vehicle is obtained in different ways, ensuring the timeliness of obtaining the predicted user boarding time. At the same time, the historical vehicle use behavior data stored in the cloud is combined with the user's preset scheme to achieve accurate prediction of the user boarding time of the target vehicle, enhancing the personalization and adaptability of the prediction.

[0183] In an exemplary embodiment, as shown in Figure 4 , a control method of an automobile thermal management system is provided, which is applied to the vehicle-mounted telematics processor 106 of the target vehicle in Figure 1 , and includes the following steps S401 and S402. Wherein:

[0184] Step S401, receiving the predicted user boarding time and the predicted start time of the automobile thermal management system sent by the cloud server; the predicted start time is predicted by the cloud server according to the predicted user boarding time, the environmental state information, and the system start information of the automobile thermal management system.

[0185] Exemplarily, the cloud server 104 performs prediction according to the predicted user getting-on time, the environment in which the target vehicle is parked, and meteorological forecast information of the region in which the target vehicle is located, and system start information of the automobile thermal management system, that is, estimates how long the automobile thermal management system needs to start before the user gets on so as to meet the user's comfortable experience of using the vehicle, obtains the predicted start time of the automobile thermal management system by subtracting the start time of the automobile thermal management system from the predicted user getting-on time, and sends the predicted user getting-on time and the predicted start time to the vehicle-mounted telematics processor 106 of the target vehicle. After receiving the predicted user getting-on time and the predicted start time, the vehicle-mounted telematics processor 106 starts time monitoring.

[0186] Based on the foregoing embodiment, the vehicle-mounted telematics processor starts the time monitoring mechanism after receiving the predicted user getting-on time and the predicted start time, thereby ensuring the synchronization and consistency of time, and reducing the running cost of the vehicle-mounted telematics processor by not starting the monitoring mechanism before receiving.

[0187] In step S402, in a case where the current time reaches the predicted start time, an automobile thermal management system start instruction carrying the predicted user getting-on time is sent to the vehicle control unit of the target vehicle. The vehicle control unit is configured to, in response to the automobile thermal management system start instruction, acquire a start time length required for the automobile thermal management system of the target vehicle to reach a preset condition according to sensor data collected by a vehicle-mounted sensor of the target vehicle and system start information of the automobile thermal management system, and control the start of the automobile thermal management system of the target vehicle based on the current time, the start time length, and the predicted user getting-on time.

[0188] In an exemplary embodiment, in a case where the vehicle-mounted telematics processor 106 monitors that the current time reaches the predicted start time, the vehicle-mounted telematics processor 106 sends an automobile thermal management system start instruction carrying the predicted user getting-on time to the vehicle control unit 102 of the target vehicle. The vehicle control unit 102 is configured to, in response to the automobile thermal management system start instruction, acquire a start time length required for the automobile thermal management system of the target vehicle to reach a preset condition according to sensor data collected by a vehicle-mounted sensor of the target vehicle and system start information of the automobile thermal management system, and finally control the start of the automobile thermal management system of the target vehicle based on the current time, the start time length, and the predicted user getting-on time.

[0189] According to the foregoing embodiment, when the vehicle-mounted telematics processor monitors that the predicted start time is reached, the start instruction is sent to the vehicle control unit in time, thereby ensuring the timeliness of the instruction sending, and further improving the control timeliness of the system control.

[0190] In an exemplary embodiment, as Figure 5As shown, a control system of an automobile thermal management system is provided, the system comprising a cloud server, a vehicle controller of a target vehicle and an on-board telematics processor;

[0191] The cloud server is configured to acquire a predicted user boarding time of the target vehicle, system start information of the automobile thermal management system, and acquire environmental state information, make a prediction according to the predicted user boarding time, the environmental state information and the system start information of the automobile thermal management system, obtain a predicted start time of the automobile thermal management system, and send the predicted user boarding time and the predicted start time to the on-board telematics processor;

[0192] The on-board telematics processor is configured to send an automobile thermal management system start instruction carrying the predicted user boarding time to the vehicle controller in a case where the current time reaches the predicted start time;

[0193] The vehicle controller is configured to, in response to the automobile thermal management system start instruction, acquire a start duration required for the automobile thermal management system of the target vehicle to reach a preset condition according to sensor data collected by an on-board sensor of the target vehicle and the system start information of the automobile thermal management system, and control the start of the automobile thermal management system of the target vehicle based on the current time, the start duration and the predicted user boarding time.

[0194] Exemplarily, the control system of the automobile thermal management system composed of a cloud server, a vehicle controller of a target vehicle and a vehicle telematics processor, the cloud server acquires a predicted user getting-on time of the target vehicle, system start information of the automobile thermal management system and environmental state information, and then makes a prediction according to the predicted user getting-on time, the environmental state information and the system start information of the automobile thermal management system, obtains a predicted start time of the automobile thermal management system, and sends the predicted user getting-on time and the predicted start time to the vehicle telematics processor. In the case that the current time reaches the predicted start time, the vehicle telematics processor sends an automobile thermal management system start instruction carrying the predicted user getting-on time to the vehicle controller, and the vehicle controller, after receiving the automobile thermal management system start instruction, responds to the automobile thermal management system start instruction, acquires a start duration required for the automobile thermal management system of the target vehicle to reach a preset condition according to sensor data collected by a vehicle sensor of the target vehicle and the system start information of the automobile thermal management system, and finally controls the start of the automobile thermal management system of the target vehicle based on the current time, the start duration and the predicted user getting-on time. The system predicts the user getting-on time through the cloud server, further predicts the start time of the automobile thermal management system, monitors the time through the vehicle telematics processor of the target vehicle, and in the case that the current time reaches the predicted start time, initiates the automobile thermal management system start instruction carrying the predicted user getting-on time to the vehicle controller of the target vehicle, and the vehicle controller responds to the instruction to realize the advance start of the vehicle thermal management system. This predictive control can actively adjust the thermal environment of the vehicle before the user gets on, and the division and cooperation interaction among the three ends ensure the timely advancement of various tasks, thereby improving the control timeliness of the automobile thermal management system, ensuring the comfortable state in the vehicle and improving the user experience.

[0195] In one embodiment, as shown in Figure 6 A main hardware structure diagram of a control method of an automobile thermal management system is provided, and the hardware modules mainly include (including but not limited to): a mobile phone APP, a vehicle telematics processor (T-Box), a body controller (BCM), a vehicle machine large screen (HMI), a vehicle controller (VCU), a vehicle air conditioner, a battery thermal management system, an outside temperature sensor, an inside temperature sensor, a sunlight sensor, a front camera, a humidity sensor and a rainfall sensor. The best energy efficiency ratio operating parameters of the vehicle air conditioner and the battery thermal management system have been calibrated in the vehicle controller (VCU), and the system can automatically analyze and calculate under different environmental temperatures and climate conditions to maintain the best energy efficiency ratio operating condition.

[0196] In one embodiment, as shown inFigure 7 As shown, a functional setting option block diagram of the control method of the automobile thermal management system is provided, and the functional options are set through the vehicle machine large screen and the mobile phone APP. Whether the functional options are set on the vehicle machine large screen or the mobile phone APP, the functional options will take effect and be synchronously displayed. The functional options include AI intelligent opening, timing opening, and closing functions. The AI intelligent opening can further set an automatic holiday recognition function, so as to avoid energy waste caused by the intelligent control system being automatically opened during holidays when the vehicle is not used. In addition, the timing opening function can provide users with free selection conditions. For users who do not use the vehicle regularly, the timing opening function can be set according to the vehicle use needs of each day or each week. The last one is the closing function. When the user does not need to use the vehicle, the user can manually close the function. In addition, on the mobile phone APP side, in addition to the above three functional options, a remote manual opening function option is also reserved, so that when the user needs to use the vehicle temporarily, the user can manually open the vehicle remotely.

[0197] In one exemplary embodiment, as shown in Figure 8 A functional implementation block diagram of the control method of the automobile thermal management system is provided, in which: TSP: remote data service platform, T-Box: vehicle-mounted remote information processor, HMI: vehicle machine 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 machine large screen (HMI) and the mobile phone APP provide a control and display interface for user interaction. The vehicle controller (VCU) integrates all functions of the air conditioner control and the thermal management controller (CCM), is responsible for receiving the air conditioner opening signal and opening the vehicle-mounted air conditioner, and simultaneously transmitting the start state parameter to the T-Box (vehicle-mounted remote information processor) for timing and power-on, waking up the vehicle controller, and sending the air conditioner opening signal. The TSP is a remote data service platform responsible for data exchange between the interactive cloud server, the mobile phone APP, and the T-Box. The cloud server is responsible for collecting and storing data, analyzing data, predicting opening time plans, sending plans, and waking up the T-Box. In addition, the T-Box also communicates with other controllers of the vehicle, including but not limited to the BCM, the VCU, the PMS, the PEPS, and the like.

[0199] In which:

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

[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, charge and discharge control.

[0203] PEPS (Passive Entry Passive Start): Passive entry and passive start system, to ensure that the vehicle key identification realizes keyless start-stop.

[0204] In one embodiment, as shown in Figure 9a , a control method for a passenger compartment air conditioning system is provided, as shown in Figure 9b , a control method for a battery thermal management system is provided, and the following is a mixed description for the two system control methods. The cloud server collects the starting time and frequency of the vehicle every day, and through continuous collection and analysis of the rules, calculates the user's driving habits, such as the number of times driving per day, the time point of each driving, the days of the week driving, etc. Data, to generate an intelligent start time plan, combined with the parking environment and weather forecast, to generate the next vehicle start time, and send the start time plan to the T-Box (on-board telematics processor). When the start time arrives, the cloud server wakes up the T-Box to enter the planned execution phase, and the T-Box wakes up the VCU (vehicle controller) to start the air conditioning instruction, and detects the state of the power battery to confirm whether the thermal management system needs to be operated for heating or cooling. In this process, the VCU also needs to collect camera, outdoor temperature, indoor temperature, sunlight intensity, rainfall information and other data to analyze the time required for the system to start under the best energy efficiency ratio working condition, and analyze whether to start the air conditioning or power battery thermal management system according to the time. The longest running time is A minutes, if there is an unlock or door opening signal within A minutes, the air conditioning system is based on comfort satisfaction judgment to exit or continue running, and the thermal management system is based on the requirement of the battery temperature control strategy, which can be stopped at any time. Start or continue to run. After a single run, the VCU uploads the running data to the cloud storage and analysis through the T-Box, optimizes and generates the next start plan, and repeats the cycle.

[0205] In one embodiment, as shown in Figure 10 , when the vehicle is used for a week, the cloud server will update and optimize the intelligent start strategy according to the vehicle usage data of the corresponding account, so as to more accurately predict the start of the air conditioning and power battery thermal management system, and better meet the user's demand for comfort and driving experience.

[0206] In one exemplary embodiment, as shown in Figure 11As shown, the analysis of the surrounding environment by the vehicle-mounted sensor determines the start mode that the air conditioner needs to enter, thereby reducing the energy consumption of the system operation and improving the start efficiency. Specifically, when the vehicle controller receives the air conditioner opening instruction, according to the environment recognition and user boarding time calculation, it is confirmed that the air conditioner can be turned on, and then the process is entered. The vehicle controller determines the mode that the vehicle-mounted air conditioner needs to enter according to the ambient temperature and the temperature in the vehicle, and the ambient temperature B degrees Celsius-C degrees Celsius is the calibration quantity (the parameters can be adjusted in combination with the real vehicle calibration, B

[0207] Compared with the prior art, the present application has the following technical advantages:

[0208] 1. The AI algorithm is integrated into the air conditioner and thermal management control system method, which can intelligently control the running state of the vehicle-mounted air conditioner and the power battery thermal management system according to different user needs and driving habits.

[0209] 2. After intelligent control, the system can run in the best efficiency working condition, greatly reducing the energy consumption and improving the efficiency.

[0210] 3. The system runs automatically without human intervention, and the vehicle user no longer needs to frequently manually open the air conditioner through remote control to precool or heat the passenger compartment.

[0211] 4. In addition to the self-opening and closing functions of the air conditioner, the intelligent control method can also realize automatic defrosting, demisting, battery self-heating or cooling functions, so that the vehicle user no longer needs to wait and can experience the best comfort and driving experience as soon as he gets on the vehicle, which is safe and time-saving.

[0212] It should be understood that although the steps in the flowcharts involved in the embodiments described above are shown in sequence according to the arrows, the steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, the execution of the steps is not strictly limited in sequence, and the steps can be executed in other orders. Moreover, at least some of the steps in the flowcharts involved in the embodiments described above can include multiple steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of the steps or stages is not necessarily sequential, but can be alternately or alternately executed with at least part of other steps or steps or stages in other steps.

[0213] Based on the same inventive concept, the embodiments of the present application also provide a control device of an automobile thermal management system for implementing the control method of the automobile thermal management system described above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more control device embodiments of the automobile thermal management system provided below can refer to the limitations of the control method of the automobile thermal management system described above, and will not be repeated here.

[0214] In one exemplary embodiment, as shown in Figure 12 A control device 1200 of an automobile thermal management system is provided, applied to a vehicle controller of a target vehicle, comprising: an instruction receiving module 1201, an instruction response module 1202 and a system control module 1203, wherein:

[0215] The instruction receiving module 1201 is configured to receive an automobile thermal management system start instruction carrying a predicted user boarding time sent by a vehicle-mounted telematics processor of a target vehicle; wherein the automobile thermal management system start instruction is sent by the vehicle-mounted telematics processor to the vehicle controller in the case that the current time reaches the predicted start time of the automobile thermal management system; and the predicted start time is predicted by a cloud server according to the predicted user boarding time, environmental state information and system start information of the automobile thermal management system;

[0216] The instruction response module 1202 is configured to, in response to the automobile thermal management system start instruction, obtain a start duration required for the automobile thermal management system of the target vehicle to reach a preset condition according to sensor data collected by a vehicle-mounted sensor of the target vehicle and system start information of the automobile thermal management system;

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

[0218] In one embodiment, based on the aforementioned control device of the automobile thermal management system, the automobile thermal management system starting instruction carrying the predicted user getting-on time is received by the instruction receiving module, wherein the automobile thermal management system starting instruction is sent by the vehicle-mounted telematics processor to the vehicle controller when the current time reaches the predicted starting time of the automobile thermal management system, the predicted starting time is predicted by the cloud server according to the predicted user getting-on time, the environmental state information and the system starting information of the automobile thermal management system, the automobile thermal management system starting instruction is transmitted to the instruction response module, the starting time required for the automobile thermal management system of the target vehicle to reach the preset condition is obtained by the instruction response module in response to the automobile thermal management system starting instruction according to the sensor data collected by the vehicle-mounted sensor of the target vehicle and the system starting information of the automobile thermal management system, and the starting time and the predicted user getting-on time carried by the automobile thermal management system starting instruction are sent to the system control module, and the system control module controls the starting of the automobile thermal management system of the target vehicle based on the current time, the starting time and the predicted user getting-on time. By the cloud server, the predicted starting time of the automobile thermal management system is obtained, and the automobile thermal management system starting instruction carrying the predicted user getting-on time is received by the vehicle-mounted telematics processor when the current time reaches the predicted starting time, the starting time of the system corresponding to the sensor data collected by the vehicle-mounted sensor is obtained in response to the automobile thermal management system starting instruction, and finally the automobile thermal management system of the target vehicle is controlled to start according to the current time, the starting time and the predicted user getting-on time. By responding to the automobile thermal management system starting instruction generated according to the predicted starting time, the subsequent starting of the automobile thermal management system is executed, the timeliness of system control is ensured, the in-vehicle environment is optimized by the pre-system control, and the comfort of the user using the vehicle is improved.

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

[0220] The threshold construction submodule is configured to construct a time length threshold according to the current time and the predicted user getting-on time.

[0221] The system control submodule is configured to control the starting of the automobile thermal management system of the target vehicle when the starting time is less than or equal to the time length threshold, and return the vehicle use behavior information of the target vehicle to the cloud server.

[0222] In an example embodiment, the system control module 1203 is further configured to, in a case where the starting duration is greater than the duration threshold, obtain a delayed starting duration of the automobile thermal management system based on the current time, the predicted user getting-in time, and the starting duration; send the delayed starting duration to the vehicle-mounted telematics processor, and receive a new automobile thermal management system starting instruction re-sent by the vehicle-mounted telematics processor after the current time elapses the delayed starting duration; control the automobile thermal management system of the target vehicle in response to the new automobile thermal management system starting instruction, and return the vehicle usage behavior information of the target vehicle to the cloud server.

[0223] In an example embodiment, the automobile thermal management system comprises a passenger compartment air conditioning system, and the control device 1200 of the automobile thermal management system is further configured to receive a passenger compartment air conditioning system starting instruction carrying a predicted user getting-in time sent by the vehicle-mounted telematics processor of the target vehicle; wherein the automobile thermal management system starting instruction is sent by the vehicle-mounted telematics processor to the vehicle controller in a case where the current time reaches a predicted first starting time of the passenger compartment air conditioning system; the predicted first starting time is predicted by the cloud server based on the predicted user getting-in time, the environmental state information, and the system starting information of the passenger compartment air conditioning system; in response to the passenger compartment air conditioning system starting instruction, the control device 1200 is configured to obtain sensor data collected by an image sensor, a temperature sensor, a humidity sensor, a sunlight sensor, and a rainfall sensor of the target vehicle; based on the sensor data and the system starting information of the passenger compartment air conditioning system, the control device 1200 is configured to obtain a first starting duration required for an 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; and based on the current time, the first starting duration, and the predicted user getting-in time, the control device 1200 is configured to control the passenger compartment air conditioning system of the target vehicle to start.

[0224] In an example embodiment, after controlling the passenger compartment air conditioning system of the target vehicle to start, the control device 1200 of the automobile thermal management system further comprises a temperature obtaining module and a judgment module, wherein:

[0225] The temperature obtaining module is configured to, in a case where an unlocking signal or an opening door signal is received within a preset time window, obtain a current internal temperature of the passenger compartment of the target vehicle.

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

[0227] In an example embodiment, the determining module is further configured to, in a case where the current internal temperature reaches the preset first temperature, control the passenger cabin air conditioning system to stop running and return to a last start state; and in a case where the current internal temperature does not reach the preset first temperature, initiate an inquiry to a user through a large screen of a vehicle machine of the target vehicle, and control the passenger cabin air conditioning system to continue running or return to the last start state according to an inquiry result.

[0228] In an example embodiment, after the passenger cabin air conditioning system returns to the last start state, the determining module is further configured to, in a case where the last start state does not match a current environment in which the target vehicle is located, control the passenger cabin air conditioning system to keep a current start state.

[0229] In an example embodiment, after the passenger cabin air conditioning system is controlled to start, the control device of the automobile thermal management system is further configured to, in a case where an ambient temperature of the environment in which the target vehicle is located is greater than a first ambient temperature, control the passenger cabin air conditioning system to enter an automatic running mode; in a case where the ambient temperature is less than a second ambient temperature, control the passenger cabin air conditioning system to enter a defogging mode if it is determined according to 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 fogging; the second ambient temperature is lower than the first ambient temperature; in a case where the ambient temperature is greater than or equal to the second ambient temperature and less than or equal to the first ambient temperature, control the passenger cabin air conditioning system to enter a ventilation mode, and control the passenger cabin air conditioning system to start the compressor to perform refrigeration or dehumidification in a case where it is determined according to 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 fogging and the temperature sensor collects an indoor temperature greater than the first ambient temperature.

[0230] In an exemplary embodiment, the vehicle thermal management system includes a battery thermal management system and a control device 1200 for the vehicle thermal management system. The control device 1200 is further configured to receive a battery thermal management system start command sent by the on-board telematics processor of the target vehicle, carrying a prediction of the user's boarding time. The battery thermal management system start command is sent by the on-board telematics processor to the vehicle controller when the predicted start time of the battery thermal management system is reached at the current time. The predicted start time is predicted by a cloud server based on the predicted user boarding time, environmental status information, and the system start information of the battery thermal management system. In response to the battery thermal management system start command, sensor data collected by the vehicle's external temperature sensor and battery cell temperature sensor are acquired. Based on the sensor data and the system start information of the battery thermal management system, a second start time is obtained for the battery cell temperature of the target vehicle to reach a preset second temperature during the operation of the battery thermal management system. Based on the current time, the second start 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 cell temperature of the battery of the target vehicle; if the current cell temperature reaches a preset second temperature, the control device controls the battery thermal management system to stop operating; if the current cell temperature does not reach the preset second temperature, the control device controls the battery thermal management system to continue operating.

[0232] In one exemplary embodiment, such as Figure 13 As shown, a control device 1300 for an automotive thermal management system is provided, applied to a cloud server, including: an acquisition module 1301, a prediction module 1302, and a system time transmission module 1303, wherein:

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

[0234] The prediction module 1302 is used to make predictions 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.

[0235] The time transmission module 1303 is used to send the predicted user boarding time and predicted start time to the on-board telematics processor of the target vehicle; when the current time reaches the predicted start time, the on-board telematics processor generates and sends a vehicle thermal management system start command to the vehicle controller of the target vehicle; the vehicle thermal management system start command carries the predicted user boarding time.

[0236] The vehicle controller is configured to, in response to the automobile thermal management system starting instruction, acquire, according to sensor data collected by a vehicle sensor of the target vehicle and system starting information of the automobile thermal management system, a starting duration required for the automobile thermal management system of the target vehicle to reach a preset condition, and control starting of the automobile thermal management system of the target vehicle based on the current time, the starting duration and the predicted user getting-in time.

[0237] In one of the embodiments, the acquisition module 1301 is further configured to acquire historical vehicle use behavior information associated with the target vehicle, and obtain the predicted user getting-in time of the target vehicle according to the historical vehicle use behavior information; or acquire vehicle use behavior information set by a user for the target vehicle from a large screen of a vehicle machine of the target vehicle or a user terminal associated with the target vehicle, and obtain the predicted user getting-in time of the target vehicle based on the vehicle use behavior information; or obtain the predicted user getting-in time of the target vehicle according to the historical vehicle use behavior information associated with the target vehicle and the vehicle use behavior information set for the target vehicle.

[0238] In one of the embodiments, the acquisition module 1301 is further configured to acquire historical vehicle use behavior information associated with the target vehicle, and obtain the predicted user getting-in time of the target vehicle according to the historical vehicle use behavior information; or acquire vehicle use behavior information set by a user for the target vehicle from a large screen of a vehicle machine of the target vehicle or a user terminal associated with the target vehicle, and obtain the predicted user getting-in time of the target vehicle based on the vehicle use behavior information; or obtain the predicted user getting-in time of the target vehicle according to the historical vehicle use behavior information associated with the target vehicle and the vehicle use behavior information set for the target vehicle. Figure 14 As shown in FIG. 13, a control device 1400 of an automobile thermal management system is provided, which is applied to a vehicle-mounted telematics processor of a target vehicle and includes 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 getting-in time and the predicted starting time of the automobile thermal management system sent by the cloud server; the predicted starting time is obtained by the cloud server according to the predicted user getting-in time, the environmental state information and the system starting information of the automobile thermal management system.

[0240] The instruction sending module 1402 is configured to send, in a case where the current time reaches the predicted starting time, an automobile thermal management system starting instruction carrying the predicted user getting-in time to a vehicle controller of the target vehicle; the vehicle controller is configured to, in response to the automobile thermal management system starting instruction, acquire, according to sensor data collected by a vehicle sensor of the target vehicle and system starting information of the automobile thermal management system, a starting duration required for the automobile thermal management system of the target vehicle to reach a preset condition, and control starting of the automobile thermal management system of the target vehicle based on the current time, the starting duration and the predicted user getting-in time.

[0241] The modules in the control device of the automobile thermal management system described above can be realized by software, hardware and combinations thereof in whole or in part. The modules described above can be embedded in or independent of a processor in the vehicle in hardware form, or stored in a memory in the vehicle in software form, so as to be called and executed by the processor to perform the operations corresponding to the modules.

[0242] In an exemplary embodiment, a vehicle is provided, an internal structure diagram of which can be as shown in Figure 15 The vehicle includes a processor and a memory, an input / output interface (I / O) and a communication interface. The processor and the memory are connected through a system bus. The processor of the vehicle is configured 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 running the operating system and the computer program in the non-volatile storage medium. The database of the vehicle is configured to store a predicted user boarding time, a current time, a start duration, and a vehicle thermal management system start instruction. The input / output interface of the vehicle is configured to exchange information between the processor and external devices. The communication interface of the vehicle is configured to communicate with external terminals through network connection. The computer program is executed by the processor to implement a control method of a vehicle thermal management system.

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

[0244] In an exemplary embodiment, a vehicle is provided, including a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the control method of the vehicle thermal management system of the above-mentioned embodiment.

[0245] In an exemplary embodiment, a computer readable storage medium is provided, storing a computer program, and the computer program is executed by the processor to implement the control method of the vehicle thermal management system of the above-mentioned embodiment.

[0246] In an exemplary embodiment, a computer program product is provided, including a computer program, and the computer program is executed by the processor to implement the control method of the vehicle thermal management system of the above-mentioned embodiment.

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

[0248] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. The non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. The volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., without being limited thereto.

[0249] The technical features of the above embodiments can be combined in any manner. To make the description concise, all possible combinations of the technical features in the above embodiments are not described, but as long as the combinations of the technical features do not exist contradictions, they should be considered as the scope of the present application.

[0250] The above-described embodiments are merely illustrative of several embodiments of the present application, and the description is relatively specific and detailed, but should not be understood as a limitation on the scope of the patent. It should be noted that for those skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the scope of the present application. Therefore, the scope of protection of the present application should be subject to the appended claims.

Claims

1. A control method for an automotive thermal management system, characterized in that, A vehicle controller applied to a target vehicle, the method comprising: The system receives a vehicle thermal management system start command sent by the vehicle's onboard telematics processor, which carries a prediction of the user's boarding time. The vehicle thermal management system start command is sent by the vehicle telematics processor to the vehicle controller when the current time reaches the predicted start time of the vehicle thermal management system. The predicted start time is predicted by the cloud server based on the predicted user boarding time, environmental status information, and the system start information of the vehicle thermal management system. In response to the start command of the vehicle thermal management system, the start time required for the vehicle thermal management system of the target vehicle to reach the preset conditions is obtained 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. Based on the current time, the startup duration, and the predicted user boarding time, the vehicle thermal management system of the target vehicle is activated; the vehicle thermal management system includes a passenger compartment air conditioning system. If an unlock signal or door opening signal is received within a preset time window, the current internal temperature of the passenger compartment of the target vehicle is obtained; When the current internal temperature reaches a preset first temperature, the passenger cabin air conditioning system is controlled to stop operating and return to the last start-up state. If the current internal temperature does not reach the preset first temperature, an inquiry is sent to the user through the vehicle's infotainment screen, and the passenger cabin air conditioning system is controlled to continue operating or return to the last start state based on the inquiry result.

2. The method according to claim 1, characterized in that, The method of controlling the activation of 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 and the predicted user boarding time, a duration threshold is constructed; If the startup duration is less than or equal to the duration threshold, the vehicle thermal management system of the target vehicle is started, 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 includes: If the startup duration exceeds the duration threshold, the delayed startup duration of the vehicle thermal management system is obtained based on the current time, the predicted user boarding time, and the startup duration. Send the delayed start duration to the vehicle telematics processor, and receive a new vehicle thermal management system start command resent by the vehicle telematics processor after the delayed start duration has elapsed in the current time; In response to the new vehicle thermal management system start command, the vehicle thermal management system of the target vehicle is 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 1-3, characterized in that, The vehicle thermal management system includes a passenger compartment air conditioning system; The step of receiving the vehicle thermal management system start command carrying a prediction of the user's boarding time sent by the on-board telematics processor of the target vehicle includes: The system receives a command from the vehicle's onboard telematics processor carrying a predicted user boarding time and an instruction to start the passenger compartment air conditioning system. The vehicle thermal management system start instruction is sent by the onboard telematics processor to the vehicle controller when the current time reaches the predicted first start time of the passenger compartment air conditioning system. The predicted first start time is predicted by a cloud server based on the predicted user boarding time, environmental status information, and the system start information of the passenger compartment air conditioning system. In response to the vehicle thermal management system start command, the method obtains the start time required for the vehicle thermal management system of the target vehicle to reach preset conditions based on sensor data collected by the on-board sensors of the target vehicle and the system start information of the vehicle thermal management system, including: In response to the start command of the passenger compartment air conditioning system, the sensor data collected by the image sensor, temperature sensor, humidity sensor, sunlight sensor and rain sensor of the target vehicle are acquired. Based on the sensor data and the system startup information of the passenger compartment air conditioning system, the first startup time required for the internal temperature of the passenger compartment of the target vehicle to reach the preset first temperature when the passenger compartment air conditioning system of the target vehicle is running is obtained. The method of controlling the activation of 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, the passenger cabin air conditioning system of the target vehicle is controlled to start.

5. The method according to claim 1, characterized in that, After the passenger cabin air conditioning system returns to its last activated state, the following steps are included: If the previous 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.

6. The method according to claim 4, characterized in that, After controlling the activation of the passenger compartment air conditioning system of the target vehicle, the following is also included: When the ambient temperature of the environment where the target vehicle is located is greater than the first ambient temperature, the passenger compartment air conditioning system is controlled to enter automatic operation mode. If, when the ambient temperature is lower than the second ambient temperature, it is determined, based on the sensor data collected by the image sensor, humidity sensor, temperature sensor, and rain sensor, that the windshield of the target vehicle is fogged up, then the passenger compartment air conditioning system is controlled to enter the 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 the ventilation mode. And when it is determined that the windshield of the target vehicle is fogged up based on the sensor data collected by the image sensor, humidity sensor, temperature sensor and rain sensor respectively, and the 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.

7. The method according to any one of claims 1-3, characterized in that, The vehicle thermal management system includes a battery thermal management system; The step of receiving the vehicle thermal management system start command carrying a prediction of the user's boarding time sent by the on-board telematics processor of the target vehicle includes: The system receives a battery thermal management system startup command sent by the vehicle's onboard telematics processor, which carries a prediction of the user's boarding time. The battery thermal management system startup command is sent by the vehicle's onboard 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 a cloud server based on the predicted user boarding time, environmental status information, and the system startup information of the battery thermal management system. In response to the vehicle thermal management system start command, the method obtains the start time required for the vehicle thermal management system of the target vehicle to reach preset conditions based on sensor data collected by the on-board sensors of the target vehicle and the system start information of the vehicle thermal management system, including: In response to the start command of the battery thermal management system, the sensor data collected by the external temperature sensor and the cell temperature sensor of the target vehicle are acquired respectively. 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 the preset second temperature when the battery thermal management system of the target vehicle is running is obtained. The method of controlling the activation of 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, the battery thermal management system of the target vehicle is activated.

8. A control method for an automotive thermal management system, characterized in that, Applied to a cloud server, the method includes: Obtain the predicted user boarding time of the target vehicle, the system startup information of the vehicle's thermal management system, and the environmental status information; Based on the predicted user boarding time, environmental status information, and system startup information of the vehicle thermal management system, the predicted startup time of the vehicle thermal management system is obtained. The predicted user boarding time and the predicted start time are sent to the onboard telematics processor of the target vehicle; if the current time reaches the predicted start time, the onboard telematics processor generates and sends a vehicle thermal management system start command to the vehicle controller of the target vehicle; the vehicle thermal management system start command carries the predicted user boarding time. The vehicle controller is used to respond to the start command of the vehicle thermal management system. 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, it obtains the start time required for the vehicle thermal management system of the target vehicle to reach the preset conditions. Based on the current time, the start time, and the predicted user boarding time, it controls the start of the vehicle thermal management system of the target vehicle. The vehicle thermal management system includes a passenger compartment air conditioning system. When an unlock signal or door opening signal is received within a preset time window, the controller obtains the current interior temperature of the passenger compartment of the target vehicle. When the current interior temperature reaches a preset first temperature, the controller controls the passenger compartment air conditioning system to stop operating and returns to the last start state. When the current interior temperature does not reach the preset first temperature, the controller initiates an inquiry to the user through the vehicle's infotainment screen and controls the passenger compartment air conditioning system to continue operating or return to the last start state based on the inquiry result.

9. A control method for an automotive thermal management system, characterized in that, The method, applied to an onboard telematics processor for a target vehicle, includes: The system receives the predicted user boarding time and the predicted start-up time of the vehicle thermal management system from the cloud server. The predicted start-up time is predicted by the cloud server based on the predicted user boarding time, environmental status information, and the system start-up information of the vehicle thermal management system. When the predicted start time is reached at the current time, a vehicle thermal management system start command carrying the predicted user boarding time is sent to the vehicle controller of the target vehicle. The vehicle controller responds to the start command by obtaining the required start time for the vehicle thermal management system to reach preset conditions based on sensor data collected by the vehicle's onboard sensors and the system start information of the vehicle thermal management system. Based on the current time, the start time, and the predicted user boarding time, it controls the start of the vehicle thermal management system. The vehicle thermal management system includes a passenger compartment air conditioning system. Upon receiving an unlock signal or door opening signal within a preset time window, the current interior temperature of the passenger compartment of the target vehicle is obtained. If the current interior temperature reaches a preset first temperature, the passenger compartment air conditioning system is stopped and returned to its previous start state. If the current interior temperature does not reach the preset first temperature, an inquiry is sent to the user via the vehicle's infotainment screen, and based on the inquiry result, the passenger compartment air conditioning system is either allowed to continue operating or returned to its previous start state.

10. A control device for an automotive thermal management system, characterized in that, A vehicle controller applied to a target vehicle, the device comprising: The instruction receiving module is used to receive a vehicle thermal management system start instruction sent by the vehicle telematics processor of the target vehicle, which carries a prediction of the user's boarding time; wherein, the vehicle thermal management system start instruction is sent by the vehicle telematics processor to the vehicle controller when the current time reaches the predicted start time of the vehicle thermal management system; the predicted start time is predicted by the cloud server based on the predicted user boarding time, environmental status information, and the system start information of the vehicle thermal management system; The instruction response module is used to respond to the start instruction of the vehicle thermal management system and obtain the start 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 start information of the vehicle thermal management system. The system control module is used to control the activation of the vehicle's thermal management system based on the current time, the activation duration, and the predicted user boarding time. The vehicle thermal management system includes a passenger compartment air conditioning system. Upon receiving an unlock signal or door opening signal within a preset time window, the module acquires the current interior temperature of the passenger compartment of the target vehicle. If the current interior temperature reaches a preset first temperature, the module controls the passenger compartment air conditioning system to stop operating and returns to its previous activation state. If the current interior temperature does not reach the preset first temperature, the module initiates an inquiry to the user via the vehicle's infotainment screen and, based on the inquiry result, controls the passenger compartment air conditioning system to continue operating or returns to its previous activation state.

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