Vehicle thermal management method, device, equipment and medium

Abstract

The invention provides a vehicle thermal management method and device, equipment and a medium, and the method comprises the steps: obtaining the current thermal management state information and thermal management dynamic characteristic information of a vehicle at the current moment, and carrying out the thermal management of the vehicle according to the current thermal management state information and the thermal management dynamic characteristic information; determining a plurality of pieces of predicted thermal management state information corresponding to different moments in the predicted time domain, acquiring thermal management deviation characteristic information of the vehicle, and determining a plurality of pieces of predicted thermal management control information corresponding to different moments in the predicted time domain according to the current thermal management state information, the plurality of pieces of predicted thermal management state information and the thermal management deviation characteristic information, and selecting the predicted heat management control information corresponding to the current moment as target heat management control information, and performing heat management on the vehicle at the current moment. The method can adapt to external disturbance and system parameter changes, measures are taken in advance to avoid errors, the dynamic response efficiency of the system is improved, and the thermal management requirement of rapid changes is met.

Description

Technical Field

[0001] This application relates to the field of vehicle thermal management, and particularly to a vehicle thermal management method, device, equipment and medium. Background Art

[0002] In the existing thermal management system architectures of hybrid and pure electric new energy vehicles, PTC (Positive Temperature Coefficient) thermal management usually adopts the traditional PID (Proportional-Integral-Derivative) method. PID control has the characteristics of simple structure and easy implementation, and has been widely used in many industrial control scenarios.

[0003] However, in the new energy vehicle thermal management system, especially when facing complex heating conditions, the limitations of PID control gradually emerge. First of all, the process of adjusting the parameters of PID control is not only complex, but also the influence of each parameter on the system performance is interrelated, and it is difficult to find the optimal parameter combination through simple trial and error. Secondly, as a linear control method, PID control cannot adjust the control strategy in real time to adapt to the changes of the system. And when facing large disturbances or drastic changes in system parameters, the robustness of PID control is relatively weak. Finally, PID control is a control method based on the current error, lacking the ability to predict the future behavior of the system. In the new energy vehicle thermal management system, the PTC heating process often has a large inertia (such as slow temperature change), while PID control can only adjust after the error occurs, and cannot take measures in advance to avoid the generation of errors. This lag may lead to a slow dynamic response of the system and cannot meet the rapidly changing thermal management requirements. Summary of the Invention

[0004] In view of the above problems, the embodiments of this application propose a vehicle thermal management method, device, equipment and medium.

[0005] In the first aspect implemented in this application, first, a vehicle thermal management method is provided, and the method includes:

[0006] Obtain the current thermal management state information and thermal management dynamic characteristic information of the vehicle at the current moment; the current moment is the starting moment of the prediction time domain;

[0007] According to the current thermal management state information and the thermal management dynamic characteristic information, determine several predicted thermal management state information corresponding to different moments in the prediction time domain;

[0008] Obtain the thermal management deviation characteristic information of the vehicle, and according to the current thermal management state information, the several predicted thermal management state information and the thermal management deviation characteristic information, determine several predicted thermal management control information corresponding to different moments in the prediction time domain;

[0009] Select the predicted thermal management control information corresponding to the current moment from the several pieces of predicted thermal management control information as the target thermal management control information;

[0010] Perform thermal management on the vehicle at the current moment by using the target thermal management control information.

[0011] Optionally, the vehicle includes a heater and a three-way valve, and the target thermal management control information includes three-way valve opening information and heater duty ratio information. The performing thermal management on the vehicle at the current moment by using the target thermal management control information includes:

[0012] Adjust the thermal management mode of the vehicle at the current moment by using the three-way valve opening information;

[0013] And / or, adjust the thermal management power of the vehicle at the current moment by using the heater duty ratio information.

[0014] Optionally, after performing thermal management on the vehicle at the current moment by using the target thermal management control information, the method further includes:

[0015] At the next moment of the current moment, obtain the updated thermal management state information of the vehicle at the next moment of the current moment, use the updated thermal management state information as the current thermal management state information, and use the next moment of the current moment as the current moment;

[0016] Repeat the steps of determining several pieces of predicted thermal management state information corresponding to different moments in the prediction time domain according to the current thermal management state information and the thermal management dynamic characteristic information, obtaining the thermal management deviation characteristic information of the vehicle, determining several pieces of predicted thermal management control information corresponding to different moments in the prediction time domain according to the current thermal management state information, the several pieces of predicted thermal management state information, and the thermal management deviation characteristic information, selecting the predicted thermal management control information corresponding to the current moment from the several pieces of predicted thermal management control information as the target thermal management control information, and performing thermal management on the vehicle at the current moment by using the target thermal management control information until the current moment reaches the termination moment of the prediction time domain.

[0017] Optionally, the current thermal management state information includes at least one of current temperature state information, current occupant state information, and current road condition state information. The vehicle includes an occupant compartment, a heater, an air conditioner, and a battery pack. The thermal management dynamic characteristic information includes a state space equation. The obtaining the current thermal management state information and the thermal management dynamic characteristic information of the vehicle at the current moment includes:

[0018] Collect the current temperature state information of the vehicle at the current moment; the current temperature state information includes at least one of the in-vehicle environment temperature information, the out-vehicle environment temperature information, the occupant compartment temperature information, the heater outlet water temperature information, the air-conditioning outlet temperature information, and the battery pack inlet water temperature information;

[0019] Collect the current occupant state information of the vehicle at the current moment; the current occupant state information includes at least one of the occupant identity information, the occupant facial temperature information, and the occupant comfort information;

[0020] Obtain the surrounding map information of the vehicle, and determine the current road condition state information of the vehicle at the current moment according to the surrounding map information; the current road condition state information includes at least one of the road geometry information, the traffic facility information, the road environment information, and the real-time dynamic information;

[0021] Obtain the state space equation of the vehicle.

[0022] Optionally, the determining the several predicted thermal management state information corresponding to different moments in the prediction horizon according to the current thermal management state information and the thermal management dynamic characteristic information includes:

[0023] For any moment in the prediction horizon, input at least one of the current temperature state information, the current occupant state information, and the current road condition state information into the state space equation to obtain the predicted thermal management state information for the any moment;

[0024] Combine the several predicted thermal management state information for the any moment to obtain the several predicted thermal management state information corresponding to different moments in the prediction horizon.

[0025] Optionally, the thermal management deviation characteristic information includes a cost function, and the obtaining the thermal management deviation characteristic information of the vehicle, and determining the several predicted thermal management control information corresponding to different moments in the prediction horizon according to the current thermal management state information, the several predicted thermal management state information, and the thermal management deviation characteristic information includes:

[0026] Obtain the thermal management control constraint range, and determine the several predicted thermal management control information corresponding to different moments in the prediction horizon according to at least one of the current temperature state information, the current occupant state information, and the current road condition state information, the several predicted thermal management state information, and the cost function; the predicted thermal management control information is within the thermal management control constraint range and makes the value of the cost function meet a preset condition.

[0027] Optionally, the vehicle thermal management system has a communication connection with a thermal management cloud platform, and the method further includes:

[0028] Store at least one of the current temperature status information, the current occupant status information, and the current road condition status information, as well as the plurality of predicted thermal management status information, the plurality of predicted thermal management control information, and the target thermal management control information in the thermal management cloud platform.

[0029] In a second aspect of the implementation of this application, a vehicle thermal management device is further provided. The device includes:

[0030] An information acquisition module, configured to acquire the current thermal management status information and thermal management dynamic characteristic information of the vehicle at the current moment; the current moment is the starting moment of the prediction time domain;

[0031] A status information prediction module, configured to determine a plurality of predicted thermal management status information corresponding to different moments in the prediction time domain according to the current thermal management status information and the thermal management dynamic characteristic information;

[0032] A control information prediction module, configured to acquire the thermal management deviation characteristic information of the vehicle, and determine a plurality of predicted thermal management control information corresponding to different moments in the prediction time domain according to the current thermal management status information, the plurality of predicted thermal management status information, and the thermal management deviation characteristic information;

[0033] A control information selection module, configured to select the predicted thermal management control information corresponding to the current moment from the plurality of predicted thermal management control information as the target thermal management control information;

[0034] A thermal management execution module, configured to perform thermal management on the vehicle at the current moment by using the target thermal management control information.

[0035] In a third aspect of the implementation of this application, an electronic device is further provided, including a processor, a memory, and a computer program stored on the memory and capable of running on the processor. When the computer program is executed by the processor, the method described above is implemented.

[0036] In a fourth aspect of the implementation of this application, a computer-readable storage medium is further provided. A computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, the method described above is implemented.

[0037] The embodiments of this application have the following advantages:

[0038] In the embodiments of the present application, by obtaining the current thermal management status information and thermal management dynamic characteristic information of the vehicle at the current moment, where the current moment is the starting moment of the prediction horizon, the present application can immediately obtain the thermal management status information of the vehicle at the current moment, providing an accurate basis for subsequent predicted status information and control information. Furthermore, the control strategy can be dynamically adjusted according to the real-time status of the thermal management system to adapt to the changes in the system. According to the current thermal management status information and thermal management dynamic characteristic information, the present application determines several predicted thermal management status information corresponding to different moments in the prediction horizon, obtains the thermal management deviation characteristic information of the vehicle, and determines several predicted thermal management control information corresponding to different moments in the prediction horizon according to the current thermal management status information, several predicted thermal management status information, and thermal management deviation characteristic information. The present application can predict the thermal management control information at each moment in the prediction horizon so as to select the target thermal management control information therefrom. The present application selects the predicted thermal management control information corresponding to the current moment from several predicted thermal management control information as the target thermal management control information. The present application does not require multiple trials and errors, nor manual parameter adjustment to obtain accurate thermal management control information. Moreover, the present application makes predictions based on the status at the current moment, with strong real-time performance and robustness, and can adapt to external disturbances and system parameter changes. The present application uses the target thermal management control information to perform thermal management on the vehicle at the current moment. Since the target thermal management control information is the thermal management control information corresponding to the current moment selected from the predicted thermal management control information and combines the predicted thermal management status information in the future time domain, it can take measures in advance to avoid the generation of errors, accelerate the dynamic response speed of the thermal management system, and thus meet the rapidly changing thermal management requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art.

[0040] Figure 1 is a flowchart of the steps of a vehicle thermal management method provided by an embodiment of the present application;

[0041] Figure 2 is a schematic structural diagram of a thermal management system provided by an embodiment of the present application;

[0042] Figure 3 is a schematic structural diagram of a vehicle thermal management device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0043] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the following will elaborate on the various embodiments of this application in conjunction with the accompanying drawings. However, those of ordinary skill in the art can understand that in the various embodiments of this application, many technical details are provided to help readers better understand this application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical solutions claimed in this application can still be implemented. The division of the following embodiments is for convenience of description and should not constitute any limitation to the specific implementation of this application. The various embodiments can be combined and cross-referenced with each other on the premise of no contradiction.

[0044] In the existing thermal management system architectures of hybrid and pure electric new energy vehicles, the PTC heating strategy mostly adopts the traditional PID control method. As a classic control algorithm, PID control has the characteristics of simple structure and easy implementation, and has been widely used in many industrial control scenarios. However, in the thermal management system of new energy vehicles, especially when facing complex PTC heating conditions, the limitations of PID control gradually emerge, mainly reflected in the following aspects:

[0045] The adjustment process is complex. The PID controller includes three parameters: proportional (P), integral (I), and derivative (D). These parameters need to be finely adjusted according to the dynamic characteristics of the system. However, in the thermal management system of new energy vehicles, the PTC heating process involves multiple state variables and control variables, and there are often strong coupling relationships between these variables. Therefore, the adjustment process of PID parameters is not only complex, but also the influence of each parameter on the system performance is interrelated, and it is difficult to find the optimal parameter combination through simple trial and error methods. In addition, the adjustment of PID parameters also depends on the experience of engineers, increasing the difficulty and time cost of debugging.

[0046] Difficult to handle complex systems. The thermal management system of new energy vehicles has characteristics such as nonlinearity, time-variation, strong coupling, and uncertain parameters and structures. For example, in the PTC dual heating condition, the heating requirements of the passenger compartment and the battery may exist simultaneously, and there may be conflicts between the thermal management objectives of the two (such as the passenger compartment needs to be quickly heated to improve comfort, while the battery needs to be slowly heated to protect its life). As a linear control method, PID control is difficult to effectively handle such complex multi-objective optimization problems. In addition, the dynamic characteristics of the system may change with factors such as ambient temperature and vehicle operating conditions, and PID control lacks adaptability and cannot adjust the control strategy in real time to adapt to the changes of the system.

[0047] Insufficient robustness. Although PID control has a certain tolerance for external disturbances (such as changes in ambient temperature) and system parameter changes (such as a decrease in PTC heating efficiency) to a certain extent, its robustness is relatively weak when facing large disturbances or drastic changes in system parameters. For example, in an extremely low-temperature environment, the thermal efficiency of the PTC heater may decrease significantly, resulting in the PID controller being unable to respond quickly and adjust the control input, thus affecting the stability and performance of the system. In addition, PID control is highly sensitive to model errors. If there are significant deviations between the actual dynamic characteristics of the system and the assumptions during design, the effectiveness of PID control may be greatly reduced.

[0048] Lack of predictive ability. PID control is a control method based on the current error and lacks the ability to predict the future behavior of the system. In the thermal management system of new energy vehicles, the PTC heating process often has a large inertia (such as slow temperature change), and PID control can only adjust after the error occurs and cannot take measures in advance to avoid the occurrence of errors. This lag may lead to a slow dynamic response of the system and cannot meet the rapidly changing thermal management requirements.

[0049] In summary, although PID control performs well in many industrial control scenarios, in the thermal management system of new energy vehicles, especially when facing complex PTC heating conditions, its limitations gradually emerge. Problems such as complex adjustment processes, difficulty in dealing with nonlinear time-varying systems, insufficient robustness, and lack of predictive ability limit the application effect of PID control in the thermal management system of new energy vehicles. Therefore, developing more advanced control strategies to overcome the deficiencies of PID control has become an important direction for improving the performance of the thermal management system of new energy vehicles.

[0050] This application provides a vehicle thermal management method, device, equipment, and medium, which can predict the thermal management control information in the prediction time domain based on the thermal management state information at the current moment, and then select the thermal management control information corresponding to the current moment to perform thermal management on the vehicle. This application can combine the state information in the prediction time domain to predict the thermal management control information corresponding to the current moment, can overcome the deficiencies of PID control, take measures in advance to avoid the occurrence of errors, accelerate the dynamic response speed of the thermal management system, and thus meet the rapidly changing thermal management requirements.

[0051] In the embodiments of this application, the dynamic management of the thermal management system of new energy vehicles can be based on the MPC (Model Predictive Control) strategy. MPC is an advanced control strategy that can predict the future behavior of the system through a dynamic model and optimize the control input to achieve the goal. In the thermal management system, MPC can achieve efficient and accurate temperature control by predicting and optimizing the control input, improving the system performance and energy efficiency.

[0052] Referring to Figure 1 , a flowchart showing the steps of a vehicle thermal management method provided by an embodiment of the present application is shown.

[0053] In an embodiment of the present application, the vehicle thermal management method can be applied to a vehicle thermal management system, which is one of the key subsystems in new energy vehicles (including pure electric vehicles and hybrid vehicles). Its main function is to manage the temperature of key components of the vehicle (such as batteries, motors, and electronic control systems) and the passenger compartment to ensure that the vehicle operates in an efficient, safe, and comfortable state.

[0054] The method can specifically include the following steps:

[0055] S101, obtaining the current thermal management state information and thermal management dynamic characteristic information of the vehicle at the current moment; the current moment is the starting moment of the prediction horizon.

[0056] It should be noted that the current thermal management state information can refer to the real-time state data of the thermal management system at the current moment, which can be obtained through the thermal management system or collected by sensors. It can reflect the operating states of various parts of the thermal management system at the current moment. In an embodiment of the present application, the predicted thermal management state information corresponding to different moments in the prediction horizon can be predicted based on the current thermal management state information.

[0057] The thermal management dynamic characteristic information can refer to the models or parameters describing the dynamic behavior of the thermal management system, which can be obtained through system modeling or experimental identification. It can reflect the dynamic response characteristics of the thermal management system and is the basis for predicting future states and optimizing control strategies. In an embodiment of the present application, the thermal management dynamic characteristic information can be at least one of a state space model, heat transfer characteristics, system inertia, nonlinear characteristics, and coupling characteristics.

[0058] In an embodiment of the present application, the current thermal management state information and thermal management dynamic characteristic information of the vehicle at the current moment can be obtained, and the current moment can be the starting moment of the prediction horizon. Among them, the prediction horizon is a period of time in the future starting from the current moment, and the prediction horizon can include several different moments. The current thermal management state information can include several different thermal management state information.

[0059] S102, determining several predicted thermal management state information corresponding to different moments in the prediction horizon according to the current thermal management state information and the thermal management dynamic characteristic information.

[0060] It should be noted that the predicted thermal management state information can refer to the state parameters and performance of the thermal management system related to thermal management during operation, which are estimated in advance through means such as analysis, modeling, and simulation. In the embodiments of the present application, the predicted thermal management control information corresponding to different moments in the prediction time domain can be predicted based on the predicted thermal management state information.

[0061] In the embodiments of the present application, a plurality of predicted thermal management state information corresponding to different moments in the prediction time domain can be determined according to the current thermal management state information and the thermal management dynamic characteristic information. Among them, the predicted thermal management state information corresponding to each moment in the prediction time domain can include a plurality of different thermal management state information.

[0062] S103, obtain the thermal management deviation characteristic information of the vehicle, and determine a plurality of predicted thermal management control information corresponding to different moments in the prediction time domain according to the current thermal management state information, the plurality of predicted thermal management state information, and the thermal management deviation characteristic information.

[0063] It should be noted that the thermal management deviation characteristic information can be information describing the specific manifestations and laws of deviations in the thermal management process. In the embodiments of the present application, the thermal management deviation characteristic information can be used to control the degree of difference between the predicted thermal management state information and the ideal state of the thermal management system.

[0064] The predicted thermal management control information can refer to information such as the control strategy and control parameters of the thermal management system estimated in advance through modeling, simulation, or data analysis. In the embodiments of the present application, the predicted thermal management control information can be used for the optimal control of the thermal management system.

[0065] In the embodiments of the present application, the thermal management deviation characteristic information of the vehicle can be obtained, and a plurality of predicted thermal management control information corresponding to different moments in the prediction time domain can be determined according to the current thermal management state information, the plurality of predicted thermal management state information, and the thermal management deviation characteristic information. Among them, the predicted thermal management control information corresponding to each moment in the prediction time domain can include a plurality of different thermal management control information.

[0066] S104, select the predicted thermal management control information corresponding to the current moment from the plurality of predicted thermal management control information as the target thermal management control information.

[0067] It should be noted that the target thermal management control information can be information such as the control strategy and expected parameters set to achieve specific thermal management goals in the thermal management system. In the embodiments of the present application, the target thermal management control information can be used to guide the design, optimization, and operation of the thermal management system to ensure that the system or device operates within a safe and efficient temperature range.

[0068] In an embodiment of the present application, the predicted thermal management control information corresponding to the current moment can be selected from a number of predicted thermal management control information as the target thermal management control information.

[0069] Since the obtained number of predicted thermal management control information corresponds to different moments in the prediction time domain, and there can be one or a set of predicted thermal management control information for each moment, therefore, one or a set of predicted thermal management control information corresponding to the nearest moment in the prediction time domain can be used to control the thermal management system, that is, one or a set of predicted thermal management control information corresponding to the current moment is used to control the current thermal management system. This can not only comprehensively consider the predicted thermal management state information in the prediction time domain but also ensure the timeliness of the target thermal management control information.

[0070] S105, perform thermal management on the vehicle at the current moment by using the target thermal management control information.

[0071] In an embodiment of the present application, the target thermal management control information can be used to perform thermal management on the vehicle at the current moment. According to the thermal state and control strategy at the current moment, the operating parameters of the thermal management system can be adjusted in real time to achieve cooling or heating of each component of the vehicle.

[0072] In the embodiments of the present application, by obtaining the current thermal management state information and the thermal management dynamic characteristic information of the vehicle at the current moment, where the current moment is the starting moment of the prediction horizon, the present application can instantaneously obtain the thermal management state information of the vehicle at the current moment, providing an accurate basis for subsequent predicted state information and control information. Furthermore, the control strategy can be dynamically adjusted according to the real-time state of the thermal management system to adapt to the changes of the system. According to the current thermal management state information and the thermal management dynamic characteristic information, the present application determines several predicted thermal management state information corresponding to different moments in the prediction horizon, obtains the thermal management deviation characteristic information of the vehicle, and determines several predicted thermal management control information corresponding to different moments in the prediction horizon according to the current thermal management state information, several predicted thermal management state information, and the thermal management deviation characteristic information. The present application can predict the thermal management control information at each moment in the prediction horizon so as to select the target thermal management control information therefrom. The present application selects the predicted thermal management control information corresponding to the current moment from several predicted thermal management control information as the target thermal management control information. The present application can obtain accurate thermal management control information without multiple trial-and-errors or manual parameter adjustment. Moreover, by predicting based on the state at the current moment, the present application has strong real-time performance and robustness and can adapt to external disturbances and system parameter changes. The present application uses the target thermal management control information to perform thermal management on the vehicle at the current moment. Since the target thermal management control information is the thermal management control information corresponding to the current moment selected from the predicted thermal management control information and combines the predicted thermal management state information in the future time domain, it can take measures in advance to avoid the generation of errors, accelerate the dynamic response speed of the thermal management system, and thus meet the rapidly changing thermal management requirements.

[0073] In the thermal management system of new energy vehicles, the PTC heating process usually involves the input of multiple control information and the output of multiple state information. The existing PID control is essentially a single-input single-output (SISO) control method and is difficult to be directly applied to a multi-input multi-output (MIMO) system. Although multiple PID controllers can be designed to control different variables respectively, this decentralized control strategy cannot fully consider the coupling relationship between variables and may lead to poor control effects or even system instability.

[0074] In the embodiments of the present application, the thermal management system of new energy vehicles can be dynamically managed based on the MPC (Model Predictive Control) strategy. It can fully consider the coupling relationship between variables and achieve accurate prediction and regulation of the target thermal management control information.

[0075] In an alternative embodiment of the present application, referring to Figure 2 , a schematic structural diagram of a thermal management system provided by an embodiment of the present application is shown.

[0076] In an embodiment of the present application, the thermal management system of a vehicle may include a battery pack 201, a water pump 202, a chiller 203, an electronic expansion valve 206, a plate heat exchanger 207, a water storage bottle 210, a heating, ventilation, and air conditioning (HVAC) unit 211, an HVAC unit 215, a thermal expansion valve 217, a thermal expansion valve 219, a stop valve 214, a stop valve 220, a three-way valve 221, a water pump 222, a heater 223, a compressor 224, and a condenser 225.

[0077] Among them, the chiller 203 may include a refrigerant side 204 and a water side 205. The plate heat exchanger includes a cold side 208 and a hot side 209. The HVAC unit 211 includes an air heater 212 and a rear evaporator 213. The HVAC unit 215 includes a front evaporator 216, a heater core 218, a thermal expansion valve 217, and a thermal expansion valve 219.

[0078] In an embodiment of the present application, the battery pack 201 may be connected to the water pump 202, the cold side 208 of the plate heat exchanger 207, and the water side 205 of the chiller 203 through a coolant pipeline. The coolant may circulate between the battery pack 201, the chiller 203, and the plate heat exchanger 207 to take away the heat generated by the battery.

[0079] The water pump 202 may drive the coolant to flow between the battery pack 201, the plate heat exchanger 207, and the chiller 203.

[0080] The water side 205 of the chiller 203 may be connected to the cold side 208 of the plate heat exchanger 207 through a coolant pipeline to transfer the cold quantity generated by the chiller 203 to the coolant. The refrigerant side 204 of the chiller 203 may be connected to the compressor 224, the condenser 225, the electronic expansion valve 206, etc. to form a refrigeration cycle.

[0081] The electronic expansion valve 206 may control the refrigerant flow rate. The refrigerant evaporates and absorbs heat on the cold side 208 of the plate heat exchanger 207 to complete the refrigeration cycle.

[0082] The cold side 208 of the plate heat exchanger 207 may be connected to the coolant pipeline of the battery pack 201 to absorb the heat of the battery. A water storage bottle 210 may also be provided between the cold side 208 of the plate heat exchanger 207 and the water pump 202.

[0083] The water storage bottle 210 may be connected to the coolant circulation system through a pipeline to store and supplement the coolant to ensure that the system always has sufficient coolant supply.

[0084] The HVAC unit 211 and the HVAC unit 215 may be connected to the compressor 224, the condenser 225, the thermal expansion valve 217, the thermal expansion valve 219, etc. through a refrigerant pipeline to form an air conditioning refrigeration cycle.

[0085] The air heater 212 can be used to heat the air entering the vehicle interior in a low-temperature environment.

[0086] The compressor 224 can compress the refrigerant into a high-temperature and high-pressure gas and deliver it to the condenser 225.

[0087] The condenser 225 can cool and liquefy the refrigerant. The refrigerant can enter the front evaporator 216 through the thermostatic expansion valve 217 via the stop valve 220, evaporate and absorb heat to cool the air in the vehicle interior. The liquefied refrigerant can also enter the rear evaporator 213 via the stop valve 214.

[0088] The stop valve 214 and the stop valve 220 can be used to cut off or allow the flow of the coolant or refrigerant, and can be installed in the key pipelines for easy maintenance or use in emergencies.

[0089] In the embodiment of the present application, a heat pump system can be constituted by connecting the heater 223, the three-way valve 221, the hot side 209 of the plate heat exchanger 207, the heater core 218, the thermostatic expansion valve 219 and the water pump 222 through pipelines.

[0090] The heater 223 can be connected to the hot side 209 of the plate heat exchanger 207 through a coolant pipeline to provide additional heat for the battery pack. The heater 223 can also be connected to the heater core 218 through the thermostatic expansion valve 219 to utilize the heater to provide warm air and provide additional heat for the occupant compartment.

[0091] The three-way valve 221 can be used to switch or control the flow path of the coolant or refrigerant, for example, to switch between battery cooling and air-conditioning refrigeration.

[0092] The hot side 209 of the plate heat exchanger 207 can be connected to the heater 223 via the three-way valve 221.

[0093] The water pump 222 can drive the flow of the heated coolant.

[0094] The following is the description of each component and its role in the thermal management system:

[0095] The battery pack 201 (Battery Pack) is the power source of a new energy vehicle and can be composed of multiple battery modules. In the thermal management system, the battery pack 201 can maintain the battery within the optimal operating temperature range through a cooling or heating system.

[0096] The water pump 202 (Water Pump) is a device used to drive the coolant to circulate in the thermal management system. In the thermal management system, the water pump 202 can be used to circulate the coolant to ensure that heat can be effectively transferred from the heat source to the radiator or other cooling devices. In the thermal management system, the water pump 202 can adjust the temperature of the system by controlling the flow of the coolant.

[0097] The chiller 203 is a device for cooling, which can achieve the cooling effect through the refrigerant cycle. In the thermal management system, the chiller 203 can be used to reduce the temperature of the system, which can be achieved by compressing and expanding the refrigerant. The refrigerant side 204 is involved in the circulation of the refrigerant, including the processes of compression, condensation, expansion, and evaporation. The water side 205 is involved in the circulation of the cooling water, which is used to transfer heat from the system to the external environment.

[0098] The electronic expansion valve 206 (EXV) is a device for regulating the refrigerant flow rate, which can achieve precise regulation through electronic control. In the thermal management system, the electronic expansion valve 206 can optimize the cooling effect by regulating the refrigerant flow rate.

[0099] The plate heat exchanger 207 is a device for heat exchange through metal plates. In the thermal management system, the plate heat exchanger 207 can be used to transfer heat between different fluids, and can be used for heat exchange between the coolant and the refrigerant. The cold side 208 can be in contact with the coolant or the refrigerant to absorb heat. The hot side 209 can be in contact with the external environment or other cooling media to release heat.

[0100] The coolant reservoir 210 is a container for storing and supplementing the coolant. In the thermal management system, the coolant reservoir 210 can ensure that the cooling system always has an adequate supply of coolant.

[0101] The heating, ventilation, and air conditioning (HVAC) 211 and 215 are used to regulate the temperature and air quality of the passenger compartment. In the thermal management system, the HVAC 211 and 215 can be used to regulate the temperature and humidity of the air inside the vehicle, providing a comfortable driving environment.

[0102] The air heater 212 can be used to heat the air entering the vehicle.

[0103] The rear evaporator 213 and the front evaporator 216 can be used to cool the air. The rear evaporator 213 in the HVAC 211 and the front evaporator 216 in the HVAC 215 can be located at different positions in the air conditioning system.

[0104] The heater core 218 can be used to heat the air and can be connected to the engine coolant or an electric heater.

[0105] The thermal expansion valves 217 and 219 (Thermal Expansion Valve, TXV) are devices that can be used to regulate the refrigerant flow rate and are automatically adjusted by a temperature sensing element. In a thermal management system, the thermal expansion valves 217 and 219 can optimize the refrigeration effect by adjusting the refrigerant flow rate.

[0106] The shut-off valves 214 and 220 (Shut-off Valve) are valves used to control the on / off of fluid. In a thermal management system, the shut-off valves 214 and 220 can be used to control the flow of coolant or refrigerant, usually used during maintenance or in emergency situations.

[0107] The three-way valve 221 (Three-way Valve) is a valve with three ports and can be used to control the flow direction of fluid. In a thermal management system, the three-way valve 221 can be used to adjust the flow direction of coolant to achieve heat distribution between different components. For example, in the PTC dual heating mode, the three-way valve can adjust the coolant flow direction to the passenger compartment or the battery pack 201.

[0108] The heater 223 (Heater) is a device used to provide heat. In the embodiments of the present application, the heater 223 can be a PTC heater. In a thermal management system, the heater 223 can be used to provide additional heat and can be used to heat the air inside the vehicle or the battery pack 201.

[0109] The compressor 224 (Compressor) is the core component of the refrigeration system and is used to compress the refrigerant, increasing its temperature and pressure. In the refrigeration cycle, the compressor 224 can compress the low-temperature and low-pressure refrigerant into a high-temperature and high-pressure gas, providing power for the refrigeration system. In a heat pump system, the compressor 224 can also be used to provide heat.

[0110] The condenser 225 (Condenser) is a device used to cool the high-temperature and high-pressure refrigerant gas into a liquid. In the refrigeration cycle, the condenser 225 can dissipate the heat of the refrigerant into the air, causing the refrigerant to change from a gaseous state to a liquid state. In a heat pump system, the condenser 225 can be used to release heat and provide warm air.

[0111] In the embodiments of the present application, the vehicle may include a heater and a three-way valve, and the target thermal management control information includes the three-way valve opening information and the heater duty cycle information. Refer to Figure 2 and the heater and the three-way valve can be Figure 2 the heater 223 and the three-way valve 221 in the thermal management system.

[0112] It should be noted that the opening degree information of the three-way valve can refer to the opening degree of the three-way valve and can be expressed as a percentage. For example, an opening degree of 50% means that the valve port of the three-way valve is half open. In the embodiments of the present application, by adjusting the opening degree of the three-way valve, the flow path and flow rate distribution of the coolant can be controlled, so as to distribute heat to different circuits (such as the occupant compartment heating circuit, the battery heating circuit, etc.).

[0113] The heater duty ratio information can be the PTC duty ratio. The PTC duty ratio refers to the ratio of the energization time of the PTC heater to the total cycle within a cycle and can be expressed as a percentage. For example, a duty ratio of 50% means that the PTC heater is energized for heating for half of the time and de-energized for the other half of the time. In the embodiments of the present application, by adjusting the PTC duty ratio, the heating power of the PTC heater can be controlled, thereby adjusting the heating effect of the system.

[0114] Step S105 further includes the following sub-steps:

[0115] S11, adjusting the thermal management mode of the vehicle at the current moment by using the opening degree information of the three-way valve;

[0116] And / or, S12, adjusting the thermal management power of the vehicle at the current moment by using the heater duty ratio information.

[0117] In the embodiments of the present application, the thermal management mode of the vehicle at the current moment can be adjusted by using the opening degree information of the three-way valve, or the thermal management power of the vehicle at the current moment can be adjusted by using the heater duty ratio information. It is also possible to simultaneously adjust the thermal management mode of the vehicle at the current moment by using the opening degree information of the three-way valve and adjust the thermal management power of the vehicle at the current moment by using the heater duty ratio information. The thermal management mode can include the PTC single occupant compartment heating mode, the PTC single battery heating mode, and the occupant compartment battery pack dual heating mode. The thermal management power can include the heating power of the heater.

[0118] In specific implementation, adjusting the thermal management mode of the vehicle at the current moment by using the opening degree information of the three-way valve can be that when the PTC heater heats water and the opening degree of the three-way valve is 100%, the flow rate of the hot water is all distributed to the occupant compartment after passing through the three-way valve, and at this time it is the PTC single occupant compartment heating mode. When the opening degree of the three-way valve is 0%, the flow rate of the hot water is all distributed to the battery pack after passing through the three-way valve, and at this time it is the PTC single battery heating mode. When the opening degree of the three-way valve is greater than 0% and less than 100%, it is the occupant compartment battery pack dual heating mode at this time. The flow rates distributed to the occupant compartment and the battery pack add up to 100%.

[0119] This application adjusts the vehicle's thermal management mode through the opening information of the three-way valve, and combines the duty cycle control of the PTC heater to achieve precise regulation of the heating of the passenger compartment and the battery pack. Precise switching of the thermal management mode can be carried out. The PTC single-passenger compartment heating mode is achieved through 100% opening of the three-way valve to quickly increase the vehicle interior temperature; the PTC single-battery heating mode is achieved through 0% opening of the three-way valve to ensure the performance and safety of the battery in a low-temperature environment; the dual heating mode of the passenger compartment and the battery pack is achieved when the opening of the three-way valve is between 0% and 100%, flexibly distributing heat to meet diverse requirements. In addition, by finely adjusting the duty cycle of the PTC, optimizing the heating power, reducing energy waste, and improving the system energy efficiency. At the same time, this solution can dynamically adjust the thermal management mode according to real-time requirements, enhance the adaptability and intelligence level of the system, ultimately maximize the energy utilization efficiency, and improve the overall performance of the vehicle and the user experience.

[0120] In an alternative embodiment of the present application, after performing thermal management on the vehicle at the current moment using the target thermal management control information, the method further includes:

[0121] S21: At the next moment of the current moment, obtain the updated thermal management state information of the vehicle at the next moment of the current moment, use the updated thermal management state information as the current thermal management state information, and use the next moment of the current moment as the current moment;

[0122] S22: Repeat the steps of determining a plurality of predicted thermal management state information corresponding to different moments in the prediction time domain according to the current thermal management state information and the thermal management dynamic characteristic information, obtaining the thermal management deviation characteristic information of the vehicle, determining a plurality of predicted thermal management control information corresponding to different moments in the prediction time domain according to the current thermal management state information, the plurality of predicted thermal management state information, and the thermal management deviation characteristic information, selecting the predicted thermal management control information corresponding to the current moment from the plurality of predicted thermal management control information as the target thermal management control information, and using the target thermal management control information to perform thermal management on the vehicle at the current moment until the current moment reaches the termination moment of the prediction time domain.

[0123] It should be noted that the updated thermal management state information is the thermal management state information collected by the vehicle at the next moment of the current moment. In the embodiments of the present application, the rolling control of the thermal management system can be achieved through the updated thermal management state information.

[0124] In an embodiment of the present application, at the next moment after the current moment, the updated thermal management state information of the vehicle at the next moment after the current moment can be obtained, the updated thermal management state information is used as the current thermal management state information, and the next moment after the current moment is used as the current moment. Among them, the next moment after the current moment is also within the prediction horizon. After using the next moment after the current moment as the current moment, the start moment of the prediction horizon will also be updated to the next moment after the current moment.

[0125] In an embodiment of the present application, the steps of determining a plurality of predicted thermal management state information corresponding to different moments in the prediction horizon according to the current thermal management state information and the thermal management dynamic characteristic information, obtaining the thermal management deviation characteristic information of the vehicle, determining a plurality of predicted thermal management control information corresponding to different moments in the prediction horizon according to the current thermal management state information, the plurality of predicted thermal management state information, and the thermal management deviation characteristic information, selecting the predicted thermal management control information corresponding to the current moment from the plurality of predicted thermal management control information as the target thermal management control information, and using the target thermal management control information to perform thermal management on the vehicle at the current moment can be repeatedly executed until the current moment reaches the termination moment of the prediction horizon.

[0126] Among them, the termination moment of the prediction horizon can be the termination moment of the last prediction horizon. And since the start moment of the prediction horizon will also be updated to the next moment after the current moment after using the next moment after the current moment as the current moment, therefore, the termination moment of the prediction horizon can also be consistent with the start moment of the last prediction horizon, and the termination moment of the prediction horizon can also be set by those skilled in the art themselves.

[0127] In a specific implementation, the target thermal management control information can be used to perform thermal management on the vehicle at the current moment and maintain it for a time unit, while the entire thermal management control system is shifted backward by one time step. When the next sampling moment arrives, the process of determining the target thermal management control information is repeated until the last prediction horizon is reached and the loop operation stops.

[0128] Among them, the time unit can be a basic time scale such as seconds or milliseconds. The time step is the interval between two adjacent moments in the prediction time domain, which can be understood as the time interval between adjacent discrete points based on the time unit. It can be the same as the time unit or a multiple of the time unit. The time step can also be understood as the frequency. The smaller the time step, the higher the degree of discretization, the more accurate the calculation of the target thermal management control information, and the longer the calculation time. The sampling moment is the time point obtained by discretizing the continuous time according to the time step or a multiple of the time step. The sampling moment can be the current moment, and the current thermal management state information can be obtained at the sampling moment. For example, if the time unit is 0.1 seconds, the time step can also be 0.1 seconds. If the starting moment of the prediction time domain is set to 0 seconds, then 0 seconds, 0.1 seconds, and 0.2 seconds can be used as the sampling moments in sequence.

[0129] In the embodiments of the present application, through iterative prediction and optimal control, the dynamic adjustment and precise control of the vehicle thermal management system are realized. By obtaining the updated thermal management state information at the next moment and using it as the current state information, combined with the update of the prediction time domain, the real-time tracking and prediction of the thermal management state are realized. By repeatedly executing the calculation of the predicted thermal management state information and control information, the thermal management strategy can be dynamically adjusted to ensure that the system is always in the optimal state; combined with the thermal management deviation characteristic information, the accuracy of prediction and the reliability of control are further improved. Through iterative optimal control, the refined control of the thermal management system is realized, and the energy utilization efficiency and system performance are improved. At the same time, this solution can adapt to complex and changeable working conditions, enhance the robustness and intelligence level of the system, and finally realize the efficient, stable and intelligent operation of the vehicle thermal management system.

[0130] In the existing thermal management methods, when heating the PTC battery pack in winter at low temperature, the outlet or inlet water temperature of the battery pack is usually used as the target temperature, which has a heat transfer delay and is likely to cause excessive water temperature on the PTC side and waste energy.

[0131] The present application does not use the single outlet or inlet water temperature of the battery pack as the target temperature, but can accurately control the working mode of the thermal management system according to the accurate map information, environmental conditions and occupant information, optimize the energy efficiency of the system, and improve the low-temperature endurance attenuation rate.

[0132] In an alternative embodiment of the present application, the current thermal management state information includes at least one of the current temperature state information, the current occupant state information, and the current road condition state information. The vehicle includes an occupant compartment, a heater, an air conditioner, and a battery pack.

[0133] It should be noted that the current temperature state information can refer to the temperature state information at the current moment, the current occupant state information can refer to the occupant state information at the current moment, and the current road condition state information can refer to the road condition information at the current moment.

[0134] The temperature status information may include but is not limited to the battery pack temperature, the in-vehicle ambient temperature, the engine temperature, the coolant temperature, etc. In the embodiments of the present application, the temperature status information can be used to represent the temperature status of each key component of the vehicle, providing data support for the regulation of the thermal management system.

[0135] The occupant status information may refer to the occupant status information of the vehicle at the current moment, including the number of occupants, the position distribution, the comfort requirements (such as temperature preferences), etc. In the embodiments of the present application, the occupant status information can be used to optimize the in-vehicle environment (such as air-conditioning temperature, ventilation mode), improving the comfort and satisfaction of the occupants.

[0136] The road condition status information may refer to the road condition status information of the vehicle at the current moment, including the road type (such as urban road, highway), the traffic condition (such as congestion, smooth), the weather condition (such as rain, snow, sunny), etc. In the embodiments of the present application, the road condition status information can be used to predict the driving demand and energy consumption of the vehicle, optimizing the thermal management strategy (such as battery cooling, air-conditioning power adjustment) to improve energy efficiency and adaptability.

[0137] The heater, the air conditioner, and the battery pack may be the heater, the air conditioner, and the battery pack in the above-mentioned thermal management system. The passenger compartment may refer to the part of the vehicle interior that provides a seating space for the driver and passengers, which may include the driver's seat, the front passenger seat, and the rear seat area. It is one of the core functional areas of the vehicle, directly affecting the driving and riding comfort and safety.

[0138] Step S101 further includes the following sub-steps:

[0139] S31, collecting the current temperature status information of the vehicle at the current moment; the current temperature status information includes at least one of the in-vehicle ambient temperature information, the out-vehicle ambient temperature information, the passenger compartment temperature information, the heater outlet temperature information, the air-conditioning outlet temperature information, and the battery pack inlet temperature information.

[0140] It should be noted that the in-vehicle ambient temperature information may refer to the current temperature of the vehicle interior space, which can be measured by an in-vehicle temperature sensor. In the embodiments of the present application, the in-vehicle ambient temperature information can be used to monitor and adjust the comfort of the passenger compartment, providing a regulation basis for the air-conditioning system (such as heating or cooling).

[0141] The out-vehicle ambient temperature information may refer to the current temperature of the vehicle external environment, which can be measured by an out-vehicle temperature sensor. In the embodiments of the present application, the out-vehicle ambient temperature information can be used to evaluate the impact of the external environment on the vehicle thermal management system, for example, adjusting the air-conditioning power or the battery cooling strategy in high-temperature or low-temperature environments.

[0142] The passenger compartment temperature information may refer to the current temperature inside the passenger compartment, which can be measured by a temperature sensor inside the passenger compartment. In the embodiments of the present application, the passenger compartment temperature information can be used to adjust the air conditioning system in real time to ensure that the temperature of the passenger compartment is within a comfortable range.

[0143] The heater outlet water temperature information may refer to the current temperature of the coolant at the heater outlet, which can be measured by a temperature sensor. In the embodiments of the present application, the heater outlet water temperature information can be used to monitor the heating effect of the heater to ensure that the coolant temperature meets the heating requirements of the passenger compartment or the battery pack.

[0144] The air conditioning outlet temperature information may refer to the current temperature at the outlet of the air conditioning system, which can be measured by a temperature sensor. In the embodiments of the present application, the air conditioning outlet temperature information can be used to monitor the cooling or heating effect of the air conditioning system to ensure that the outlet air temperature meets the comfort requirements of the passenger compartment.

[0145] The battery pack inlet water temperature information may refer to the current temperature of the coolant entering the battery pack, which can be measured by a temperature sensor. In the embodiments of the present application, the battery pack inlet water temperature information can be used to monitor the performance of the battery cooling system to ensure that the coolant temperature is within the optimal operating temperature range of the battery pack.

[0146] In the embodiments of the present application, the current temperature status information of the vehicle at the current moment can be collected. The current temperature status information includes at least one of the in-vehicle environment temperature information, the out-of-vehicle environment temperature information, the passenger compartment temperature information, the heater outlet water temperature information, the air conditioning outlet temperature information, and the battery pack inlet water temperature information.

[0147] In a specific implementation, the in-vehicle and out-of-vehicle environment temperatures, the PTC heater outlet water temperature, the passenger compartment temperature, the air conditioning outlet temperature, and the battery pack inlet water temperature can be monitored in real time by temperature sensors. Sensors can be installed on the vehicle to monitor the in-vehicle and out-of-vehicle environment temperatures, sensors can be installed on the seat backrest to monitor the passenger compartment temperature, and the air conditioning outlet temperature can be obtained through the temperature sensor at the air conditioning outlet of the cockpit. Referring to Figure 2 , sensors can be installed between the heater 223 and the three-way valve 221 to collect the PTC heater outlet water temperature. In addition, sensors can also be installed between the battery pack 201 and the water side 205 of the refrigerator 203 to collect the battery pack inlet water temperature.

[0148] S32, collect the current passenger status information of the vehicle at the current moment. The current passenger status information includes at least one of the passenger identity information, the passenger face temperature information, and the passenger comfort information.

[0149] It should be noted that the occupant identity information may refer to the identity recognition information of the occupants inside the vehicle, which can be obtained through biometric technologies (such as face recognition, fingerprint recognition) or user account login. In the embodiments of the present application, the occupant identity information can be used for personalized settings (such as seat position, air conditioning temperature preference, entertainment system configuration) to enhance the exclusive experience of the occupants.

[0150] The occupant face temperature information may refer to the current temperature of the occupant's face, which can be measured by an infrared sensor or thermal imaging technology. In the embodiments of the present application, the occupant face temperature information can be used to evaluate the occupant's perceived temperature, and in combination with the ambient temperature information, dynamically adjust the air conditioning system to enhance the comfort of the occupants.

[0151] The occupant comfort information may refer to the subjective feelings or objective evaluations of the occupants on the in-vehicle environment (such as temperature, humidity, air quality), which can be obtained through sensor data (such as temperature, humidity) or occupant feedback (such as voice input, manual adjustment). In the embodiments of the present application, the occupant comfort information can be used to optimize the in-vehicle environment (such as air conditioning temperature, ventilation mode) to ensure that the occupants are in a comfortable state.

[0152] In the embodiments of the present application, the current occupant status information of the vehicle at the current moment can be collected; the current occupant status information includes at least one of occupant identity information, occupant face temperature information, and occupant comfort information.

[0153] In specific implementation, the occupant identity information can be obtained through face recognition memory, and different temperature control schemes can be adopted for different drivers and passengers, or drivers and passengers of different ages and genders. In addition, the occupant face temperature information can be obtained through face temperature perception, and temperature control adjustment can be performed based on the passenger's face temperature. The occupant comfort information can also be obtained by integrating the occupant identity information and the occupant face temperature information.

[0154] S33, obtain the surrounding map information of the vehicle, and determine the current road condition status information of the vehicle at the current moment according to the surrounding map information; the current road condition status information includes at least one of road geometric information, traffic facility information, road environment information, and real-time dynamic information.

[0155] It should be noted that the road geometric information may include the width, curvature, slope, elevation, lane line type (solid line, dashed line, etc.), number of lanes, connection relationship between lanes, etc.

[0156] The traffic facility information may include traffic lights, traffic signs, markings, guardrails, isolation belts, toll stations, parking lots, gas stations, etc.

[0157] The road environment information may include buildings, green belts, pedestrians, non-motor vehicles, construction areas, weather conditions, visibility, etc. around the road.

[0158] Real-time dynamic information may include real-time traffic flow, congestion conditions, accident information, construction information, speed limit changes, temporary traffic control, etc.

[0159] In an embodiment of the present application, the thermal management system may be adjusted according to at least one of road geometry information, traffic facility information, road environment information, and real-time dynamic information.

[0160] In an embodiment of the present application, the surrounding map information of the vehicle may be obtained, and the current road condition state information of the vehicle at the current moment may be determined according to the surrounding map information; the current road condition state information includes at least one of road geometry information, traffic facility information, road environment information, and real-time dynamic information. Among them, the thermal management mode or thermal management power of the thermal management system may be adjusted according to at least one of road geometry information, traffic facility information, road environment information, and real-time dynamic information.

[0161] In a specific implementation, the thermal management system may obtain high-precision map information in real time through vehicle networking technology, including road geometry information, traffic facility information, road environment information, real-time dynamic information, etc. The road geometry information, traffic facility information, road environment information, and real-time dynamic information may affect the thermal management method of the vehicle thermal management system in the following ways.

[0162] The influence of road geometry information on the thermal management method of the vehicle thermal management system: For example, slope. During winter driving, when there is a heating request for the battery, when going uphill, the battery power increases and the heat dissipation demand increases. The opening of the three-way valve may be adjusted so that the flow rate given to the battery side can be correspondingly reduced, and the flow rate given to the passenger compartment side can be correspondingly increased;

[0163] The influence of traffic facility information on the thermal management method of the vehicle thermal management system: For example, when information such as a toll station or traffic light is detected ahead and a parking demand is expected, the battery power is correspondingly reduced, and the opening of the three-way valve may be adjusted so that the flow rate given to the battery side by the PTC heater is correspondingly reduced; if it is detected that the distance to the destination is very close, only a few kilometers, the opening of the three-way valve may be adjusted so that the flow rates given to the passenger compartment and the battery side by the PTC heater are both reduced to avoid energy waste.

[0164] The influence of road environment information on the thermal management method of the vehicle thermal management system: For example, atmospheric pressure (corresponding content can increase pressure). As the altitude increases, the waste heat of the engine in the range extender mode decreases, and the waste heat of the motor increases. The waste heat of the motor can be used more for heating the battery and the passenger compartment.

[0165] The impact of real-time dynamic information on the thermal management method of the vehicle thermal management system: For example, whether there is a traffic jam ahead during driving. When a traffic jam is detected, the battery power decreases and the heat generation reduces. In a low-temperature environment, when ensuring the thermal demand of the passenger compartment, the opening degree of the three-way valve can be adjusted to appropriately increase the heating on the battery side.

[0166] S34. Obtain the state space equation of the vehicle.

[0167] It should be noted that the state space equation is a mathematical model used to describe the behavior of a dynamic system and can be used in fields such as control systems, signal processing, robotics, and autonomous driving. The dynamic characteristics of the system can be represented as the relationship between state variables, input variables, and output variables. In the embodiments of the present application, the dynamic performance information of the thermal management system can be described by the state space equation.

[0168] In the embodiments of the present application, the state space equation of the vehicle can be obtained.

[0169] In the present application, by comprehensively collecting the temperature state information of the vehicle (such as the in-vehicle environment temperature, out-of-vehicle environment temperature, passenger compartment temperature, heater outlet temperature, air-conditioning outlet temperature, battery pack inlet temperature), passenger state information (such as passenger identity information, passenger facial temperature information, passenger comfort information), and road condition state information (such as road geometric information, traffic facility information, road environment information, real-time dynamic information), and combining the state space equation for dynamic prediction and optimal control of the thermal management system, precise regulation and efficient operation of the vehicle thermal management system are achieved. Through multi-dimensional data collection and fusion, the internal and external environments of the vehicle, passenger needs, and road condition changes are comprehensively perceived to ensure the accuracy and adaptability of the thermal management strategy. The dynamic characteristics of the thermal management system are modeled and predicted using the state space equation to achieve precise prediction of the thermal management state at future moments. By adjusting the opening degree of the three-way valve and the heater duty cycle in real time, heat is flexibly distributed to meet the different needs of the passenger compartment and the battery pack, improving energy utilization efficiency. Combining high-precision map information and vehicle networking technology, the thermal management mode is dynamically optimized to adapt to complex and changeable driving environments; at the same time, through personalized settings and comfort monitoring, the exclusive experience and overall comfort of passengers are improved. Finally, this solution realizes the efficient, stable, and intelligent operation of the vehicle thermal management system, improving vehicle performance, energy efficiency, and user experience.

[0170] In an alternative embodiment of the present application, step 102 further includes the following sub-steps:

[0171] S41. For any moment in the prediction time domain, input at least one of the current temperature state information, the current occupant state information, and the current road condition state information into the state space equation to obtain the predicted thermal management state information for the any moment.

[0172] S42. Combine a number of the predicted thermal management state information for the any moment to obtain a number of predicted thermal management state information corresponding to different moments in the prediction time domain.

[0173] It should be noted that the predicted thermal management state information is the thermal management state information predicted for any moment in the prediction time domain. The thermal management state information may include at least one of the in-vehicle environment temperature information, the out-vehicle environment temperature information, the occupant compartment temperature information, the heater outlet water temperature information, the air-conditioning outlet temperature information, the battery pack inlet water temperature information, the occupant identity information, the occupant face temperature information, the occupant comfort information, the road geometry information, the traffic facility information, the road environment information, and the real-time dynamic information. The predicted thermal management state information is predicted based on the current thermal management state information.

[0174] In the embodiment of the present application, for any moment in the prediction time domain, at least one of the current temperature state information, the current occupant state information, and the current road condition state information can be input into the state space equation to obtain the predicted thermal management state information for any moment, and a number of the predicted thermal management state information for any moment can be combined to obtain a number of predicted thermal management state information corresponding to different moments in the prediction time domain.

[0175] Among them, the predicted thermal management state information corresponding to the same moment in the prediction time domain may include at least one of the in-vehicle environment temperature information, the out-vehicle environment temperature information, the occupant compartment temperature information, the heater outlet water temperature information, the air-conditioning outlet temperature information, the battery pack inlet water temperature information, the occupant identity information, the occupant face temperature information, the occupant comfort information, the road geometry information, the traffic facility information, the road environment information, and the real-time dynamic information.

[0176] In a specific implementation, at least one of the in-vehicle environment temperature information, the out-vehicle environment temperature information, the occupant compartment temperature information, the heater outlet water temperature information, the air-conditioning outlet temperature information, the battery pack inlet water temperature information, the occupant identity information, the occupant face temperature information, the occupant comfort information, the road geometry information, the traffic facility information, the road environment information, and the real-time dynamic information can be used as the thermal management state information;

[0177] Obtain the three-way valve opening information and the heater duty ratio information of the vehicle, and use the three-way valve opening information and the heater duty ratio information as the thermal management control information;

[0178] Construct a state - space equation based on the thermal management status information and the thermal management control information.

[0179] In a specific implementation, the dynamic change characteristics of the system during PTC heating can be described by establishing a state - space equation.

[0180] The constructed state - space equation is as follows:

[0181] x k+1 = Ax k + Bu k + h

[0182] where k represents the current moment, x k+1 represents the thermal management status information at the next moment of the current moment, x k represents the thermal management status information at the current moment, u k represents the thermal management control information at the current moment. A is the state - transition matrix, B is the control - input matrix, and h is a constant term representing external disturbances or system deviations.

[0183] Continue to predict the thermal management status information. The formula for the thermal management status information at the second moment after the current moment is as follows:

[0184] x k+2 = Ax k+1 + Bu k+1 + h = A(Ax k + Bu k + h)+ Bu k+1 + h

[0185] = A 2 x k + ABu k + Bu k+1 + Ah + h

[0186] where x k+2 represents the thermal management status information at the second moment after the current moment, u k+1 represents the thermal management control information at the next moment of the current moment.

[0187] Continue to predict the thermal management status information. The formula for the thermal management status information at the nth moment after the current moment is as follows:

[0188] x k+n = A n x k + A n-1 Bu k + A n-2 Bu k+1 + A n-3 Bu k+2 +…+ A n-i Buk+i-1

[0189] +A n-1 h+A n-2 h+…+h

[0190] Among them, x k+n represents the thermal management status information at the nth moment after the current moment, n represents the length of the prediction horizon, and i represents the ith time step starting from the current moment.

[0191] Organize the predicted thermal management status information corresponding to different moments in the prediction horizon into a vector form to obtain several predicted thermal management status information corresponding to different moments in the prediction horizon:

[0192] X = Ax k +BU+h

[0193] Among them, X represents several predicted thermal management status information corresponding to different moments in the prediction horizon:

[0194]

[0195] Among them, U represents several predicted thermal management control information corresponding to different moments in the prediction horizon:

[0196]

[0197] Among them, A represents the State Transition Matrix:

[0198]

[0199] The state transition matrix can be used to describe how the state information x of the thermal management system k evolves to the state information x of the next moment over time k+1 . The elements of the state transition matrix can be identified through the modeling of the thermal management system or experimental data. Each element of the state transition matrix represents the dynamic relationship between state information.

[0200] Among them, B represents the Control Input Matrix:

[0201]

[0202] The control input matrix can be used to describe how the control information u of the thermal management system k affects the state x of the next moment k+1 . The elements of the control input matrix can be identified through the modeling of the thermal management system or experimental data. Each element of the control input matrix represents the influence of control information on state information.

[0203] where h is a constant term representing external interference or system deviation:

[0204]

[0205] In this application, by inputting the current temperature state information, the current occupant state information, and the current road condition state information into the state - space equation, the thermal management state information at a future moment is predicted, and a number of predicted thermal management state information corresponding to different moments in the prediction time domain are combined, realizing the dynamic prediction and optimal control of the vehicle thermal management system. The dynamic characteristics of the thermal management system can be accurately described by the state - space equation, and predictions are made by combining multi - dimensional data (such as temperature, occupant state, road condition information) to ensure the accuracy and reliability of the prediction results; by constructing the state - transition matrix and the control - input matrix, the relationship between the system state and the control input is quantified, providing a scientific basis for optimal control; at the same time, by predicting the thermal management state information at a future moment, the control strategy can be adjusted in advance, improving the response speed and stability of the system, and finally realizing the efficient, accurate, and intelligent operation of the vehicle thermal management system, ensuring occupant comfort and vehicle performance.

[0206] In an alternative embodiment of this application, the thermal management deviation characteristic information includes a cost function.

[0207] It should be noted that the thermal management deviation characteristic information can refer to the deviation between the system state and the target state during the actual operation of the vehicle thermal management system and its impact on the system performance. The cost function is an important part of the thermal management deviation characteristic information and can be used to quantify the impact of system deviation on performance. In the embodiments of this application, the cost function can be used as the objective function for optimal control.

[0208] Step S103 further includes the following sub - steps:

[0209] S51, obtain the thermal management control constraint range, and determine a number of predicted thermal management control information corresponding to different moments in the prediction time domain according to at least one of the current temperature state information, the current occupant state information, and the current road condition state information, the number of predicted thermal management state information, and the cost function; the predicted thermal management control information is within the thermal management control constraint range and satisfies a preset condition for the value of the cost function.

[0210] It should be noted that the thermal management control constraint range can refer to the allowable value range of each control variable (such as the opening of the three - way valve, the duty cycle of the heater, etc.) during the operation of the vehicle thermal management system. In the embodiments of this application, the thermal management control constraint range can be determined by factors such as system design, hardware limitations, safety requirements, and energy - efficiency optimization goals.

[0211] In the embodiments of the present application, a thermal management control constraint range can be obtained. According to at least one of the current temperature state information, the current occupant state information, and the current road condition state information, as well as a number of predicted thermal management state information and a cost function, a number of predicted thermal management control information corresponding to different moments in the prediction horizon are determined, and the predicted thermal management control information is within the thermal management control constraint range, and the value of the cost function satisfies a preset condition. The preset condition can include that the value of the cost function is the minimum value. Among them, the predicted thermal management control information corresponding to any moment in the prediction horizon can include the three-way valve opening information and the heater duty ratio information.

[0212] In a specific implementation, an optimal solution for the cost function can be solved to obtain a control sequence in a finite horizon, that is, a number of predicted thermal management control information corresponding to different moments in the prediction horizon.

[0213] In a specific implementation, the cost function can be constructed as follows:

[0214]

[0215] Among them, k represents the current moment, n represents the length of the prediction horizon, x k represents the thermal management state information at the current moment, and u k represents the thermal management control information at the current moment. Q represents a state deviation weight matrix, which is used to penalize the deviation between the state information and the reference state information. R represents a control input weight matrix, which is used to penalize the magnitude of the control input. Q n is a terminal state weight matrix, which is used to penalize the deviation between the state information at the end of the prediction horizon and the reference state information. The superscript T represents the matrix transpose.

[0216] The thermal management control constraint range can be the constraint conditions for the PTC heater duty ratio u1 and the three-way valve opening u2. For the PTC heater duty ratio u1, 0 < u1 < 100%, and for the three-way valve opening u2, 0 < u2 < 100%.

[0217] The previously obtained state space equation and the cost function are solved simultaneously. Since the cost function to a certain extent represents the deviation between the system state and the target state and its impact on the system performance, in order to reduce the deviation between the system state and the target state and at the same time reduce the impact of this deviation on the system performance, a set of predicted thermal management control information corresponding to different moments in the prediction horizon that makes the value of the cost function the smallest is taken, so as to obtain a set of thermal management control information sequences in the prediction horizon. Then, the first element of this control sequence is applied to the thermal management system and maintained for a time unit, and at the same time, the entire thermal management system is shifted backward by one time step.

[0218] This application determines a number of predicted thermal management control information corresponding to different times in the prediction horizon by obtaining the thermal management control constraint range, combining the current temperature state information, the current occupant state information, the current road condition state information, as well as the predicted thermal management state information and the cost function, ensuring that the control information is within the constraint range and the value of the cost function meets the preset conditions (such as the minimum value), thus achieving precise optimization control of the vehicle thermal management system. The dynamic characteristics of the thermal management system are accurately characterized by the state space equation, and each state quantity in the time domain is accurately calculated in combination with the prediction horizon control sequence to ensure the accuracy and stability of the control; by constructing the cost function and setting the weight matrix, the state deviation and the control input are balanced to optimize the system performance. By defining the constraint ranges of the PTC heater duty ratio and the three-way valve opening, the rationality and safety of the control strategy are ensured. At the same time, by solving the finite horizon optimization problem to obtain the optimal control sequence, the accuracy, stability and efficiency of the heating system control are greatly improved, ensuring the efficient and stable operation of the vehicle thermal management system and improving the energy efficiency and user experience.

[0219] In an alternative embodiment of this application, the vehicle thermal management system is communicatively connected to a thermal management cloud platform.

[0220] The thermal management cloud platform is a data storage, processing and analysis platform for the vehicle thermal management system constructed based on cloud computing technology. It collects the operation data of the vehicle thermal management system in real time through vehicle networking technology, and provides functions such as remote monitoring, intelligent optimization and predictive maintenance in combination with big data analysis and artificial intelligence algorithms. In the embodiment of this application, the state information and control information of the thermal management system can be stored in the thermal management cloud platform.

[0221] The method further includes the following steps:

[0222] S61, storing at least one of the current temperature state information, the current occupant state information, the current road condition state information, the number of predicted thermal management state information, the number of predicted thermal management control information, and the target thermal management control information to the thermal management cloud platform.

[0223] In the embodiment of this application, at least one of the current temperature state information, the current occupant state information, the current road condition state information, the number of predicted thermal management state information, the number of predicted thermal management control information, and the target thermal management control information can be stored in the thermal management cloud platform. In the embodiment of this application, the prediction process of the thermal management system control information can be performed by the vehicle's thermal management system or in the thermal management cloud platform.

[0224] By storing the current temperature status information, current occupant status information, current road condition status information, predicted thermal management status information, predicted thermal management control information, and target thermal management control information in the thermal management cloud platform, this application realizes the cloud management and collaborative optimization of vehicle thermal management data. It creates an integrated "human-vehicle-road-cloud" thermal management data monitoring platform, gives full play to the advantages of vehicle networking technology, realizes comprehensive and real-time monitoring of vehicle status, dynamically schedules thermal management strategies through cloud data storage and analysis, improves the intelligent level and collaborative efficiency of overall operation management. At the same time, it can promptly detect and handle anomalies in the thermal management system, ensure the comfort and safety of vehicle driving, and provide a strong guarantee for the efficient and stable operation of the vehicle.

[0225] Referring to Figure 3 , a schematic structural diagram of a vehicle thermal management device provided by an embodiment of this application is shown. The device includes:

[0226] An information acquisition module 301, configured to acquire the current thermal management status information and thermal management dynamic characteristic information of the vehicle at the current moment; the current moment is the starting moment of the prediction time domain;

[0227] A status information prediction module 302, configured to determine a plurality of predicted thermal management status information corresponding to different moments in the prediction time domain according to the current thermal management status information and the thermal management dynamic characteristic information;

[0228] A control information prediction module 303, configured to acquire the thermal management deviation characteristic information of the vehicle, and determine a plurality of predicted thermal management control information corresponding to different moments in the prediction time domain according to the current thermal management status information, the plurality of predicted thermal management status information, and the thermal management deviation characteristic information;

[0229] A control information selection module 304, configured to select the predicted thermal management control information corresponding to the current moment from the plurality of predicted thermal management control information as the target thermal management control information;

[0230] A thermal management execution module 305, configured to perform thermal management on the vehicle at the current moment by using the target thermal management control information.

[0231] In an optional embodiment of this application, the vehicle includes a heater and a three-way valve. The target thermal management control information includes three-way valve opening information and heater duty cycle information. The thermal management execution module 305 includes:

[0232] A thermal management mode adjustment sub-module, configured to adjust the thermal management mode of the vehicle at the current moment by using the three-way valve opening information;

[0233] And / or, a thermal management power adjustment sub-module, configured to adjust the thermal management power of the vehicle at the current moment by using the heater duty ratio information.

[0234] In an alternative embodiment of the present application, the device further includes:

[0235] An information update module, configured to obtain updated thermal management status information of the vehicle at the next moment of the current moment at the next moment of the current moment, use the updated thermal management status information as the current thermal management status information, and use the next moment of the current moment as the current moment;

[0236] An iterative thermal management module, configured to repeatedly execute the steps of determining a plurality of predicted thermal management status information corresponding to different moments in the prediction time domain according to the current thermal management status information and the thermal management dynamic characteristic information, obtaining the thermal management deviation characteristic information of the vehicle, and determining a plurality of predicted thermal management control information corresponding to different moments in the prediction time domain according to the current thermal management status information, the plurality of predicted thermal management status information, and the thermal management deviation characteristic information, selecting the predicted thermal management control information corresponding to the current moment from the plurality of predicted thermal management control information as the target thermal management control information, and using the target thermal management control information to perform thermal management on the vehicle at the current moment until the current moment reaches the termination moment of the prediction time domain.

[0237] In an alternative embodiment of the present application, the current thermal management status information includes at least one of current temperature status information, current occupant status information, and current road condition status information. The vehicle includes an occupant compartment, a heater, an air conditioner, and a battery pack. The thermal management dynamic characteristic information includes a state space equation. The information acquisition module 301 includes:

[0238] A temperature status acquisition sub-module, configured to collect the current temperature status information of the vehicle at the current moment; the current temperature status information includes at least one of in-vehicle ambient temperature information, out-vehicle ambient temperature information, occupant compartment temperature information, heater outlet water temperature information, air conditioner outlet air temperature information, and battery pack inlet water temperature information;

[0239] An occupant status acquisition sub-module, configured to collect the current occupant status information of the vehicle at the current moment; the current occupant status information includes at least one of occupant identity information, occupant facial temperature information, and occupant comfort information;

[0240] A road condition status acquisition sub-module, configured to acquire the surrounding map information of the vehicle, and determine the current road condition status information of the vehicle at the current moment according to the surrounding map information; the current road condition status information includes at least one of road geometric information, traffic facility information, road environment information, and real-time dynamic information;

[0241] A state space equation acquisition sub-module, configured to acquire the state space equation of the vehicle.

[0242] In an alternative embodiment of the present application, the state information prediction module 302 includes:

[0243] A state information prediction sub-module, configured to input at least one of the current temperature state information, the current occupant state information, and the current road condition status information into the state space equation for any moment in the prediction time domain, to obtain the predicted thermal management state information for the any moment;

[0244] A state information combination sub-module, configured to combine a plurality of the predicted thermal management state information for the any moment to obtain a plurality of predicted thermal management state information corresponding to different moments in the prediction time domain.

[0245] In an alternative embodiment of the present application, the thermal management deviation characteristic information includes a cost function, and the control information prediction module 303 includes:

[0246] A control information prediction sub-module, configured to obtain the thermal management control constraint range, and determine a plurality of predicted thermal management control information corresponding to different moments in the prediction time domain according to at least one of the current temperature state information, the current occupant state information, and the current road condition status information, and the plurality of predicted thermal management state information and the cost function; the predicted thermal management control information is within the thermal management control constraint range and satisfies a preset condition for the value of the cost function.

[0247] In an alternative embodiment of the present application, the vehicle thermal management system is communicatively connected to a thermal management cloud platform, and the device further includes:

[0248] A cloud platform storage module, configured to store at least one of the current temperature state information, the current occupant state information, and the current road condition status information, and the plurality of predicted thermal management state information, the plurality of predicted thermal management control information, and the target thermal management control information to the thermal management cloud platform.

[0249] For the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for the related parts, reference may be made to the partial description of the method embodiment.

[0250] An embodiment of the present application further provides an electronic device, which may include a processor, a memory, and a computer program stored on the memory and capable of running on the processor. When the computer program is executed by the processor, the above-described method is implemented.

[0251] An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above-described method is implemented.

[0252] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the same or similar parts among the various embodiments, reference may be made to each other.

[0253] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a device, or a computer program product. Therefore, the embodiments of the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the embodiments of the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0254] The embodiments of the present application are described with reference to the flowcharts and / or block diagrams of methods, terminal devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowcharts and / or block diagrams, and the combination of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing terminal devices to generate a machine, such that the instructions executed by the processors of the computer or other programmable data processing terminal devices generate a device for implementing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0255] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device implements the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0256] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device, so that a series of operation steps are executed on the computer or other programmable terminal device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable terminal device provide steps for implementing the functions specified in one process or multiple processes and / or blocks. Figure 1 one process or multiple processes and / or blocks Figure 1 steps for implementing the functions specified in one block or multiple blocks.

[0257] Although the preferred embodiments of the embodiments of the present application have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concepts. Therefore, the appended claims are intended to be construed to include the preferred embodiments and all changes and modifications falling within the scope of the embodiments of the present application.

[0258] Finally, it should also be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or terminal device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or terminal device. Without further limitation, an element defined by the statement "comprising one..." does not exclude the existence of additional identical elements in the process, method, article or terminal device comprising the above elements.

[0259] The above provides a detailed introduction to a vehicle thermal management method, device, equipment and medium. In this article, specific examples are used to elaborate on the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A vehicle thermal management method, characterized in that: The method comprises: Acquire the current thermal management state information and thermal management dynamic characteristic information of the vehicle at the current moment; the current moment is the starting moment of the prediction time domain; Determining, according to the current thermal management state information and the thermal management dynamic characteristic information, a plurality of predicted thermal management state information corresponding to different moments in the prediction time domain; Acquiring thermal management deviation characteristic information of the vehicle, and determining a plurality of predicted thermal management control information corresponding to different moments in the prediction time domain according to the current thermal management state information, the plurality of predicted thermal management state information, and the thermal management deviation characteristic information; Selecting the predicted thermal management control information corresponding to the current moment from the plurality of predicted thermal management control information as the target thermal management control information; The target thermal management control information is used to perform thermal management on the vehicle at the current moment.

2. The method according to claim 1, characterized in that The vehicle includes a heater and a three-way valve, the target thermal management control information includes three-way valve opening information and heater duty cycle information, and the use of the target thermal management control information to perform thermal management on the vehicle at the current moment includes: Using the three-way valve opening information to adjust the thermal management mode of the vehicle at the current moment; And / or, the heater duty cycle information is used to adjust the thermal management power of the vehicle at the current moment.

3. The method according to claim 1 or 2, characterized in that: After the target thermal management control information is used to perform thermal management on the vehicle at the current moment, the method further includes: At a moment next to the current moment, acquiring updated thermal management state information of the vehicle at a moment next to the current moment, using the updated thermal management state information as the current thermal management state information, and using the moment next to the current moment as the current moment; Repeat the steps of determining a plurality of predicted thermal management state information corresponding to different moments in the prediction time domain according to the current thermal management state information and the thermal management dynamic characteristic information, obtaining the thermal management deviation characteristic information of the vehicle, determining a plurality of predicted thermal management control information corresponding to different moments in the prediction time domain according to the current thermal management state information, the plurality of predicted thermal management state information and the thermal management deviation characteristic information, selecting the predicted thermal management control information corresponding to the current moment from the plurality of predicted thermal management control information as the target thermal management control information, and performing thermal management on the vehicle at the current moment using the target thermal management control information, until the current moment reaches the end moment of the prediction time domain.

4. The method according to claim 1, characterized in that: The current thermal management state information includes at least one of current temperature state information, current occupant state information, and current road condition state information; the vehicle includes a passenger compartment, a heater, an air conditioner, and a battery pack; the thermal management dynamic characteristic information includes a state space equation; and obtaining the current thermal management state information and thermal management dynamic characteristic information of the vehicle at the current moment includes: Collecting current temperature status information of the vehicle at the current moment; the current temperature status information includes at least one of the following: vehicle interior environment temperature information, vehicle exterior environment temperature information, passenger compartment temperature information, heater water outlet temperature information, air conditioner air outlet temperature information, and battery pack water inlet temperature information; Collecting current occupant status information of the vehicle at the current moment; the current occupant status information includes at least one of occupant identity information, occupant facial temperature information, and occupant comfort information; Acquire surrounding map information of the vehicle, and determine current road condition information of the vehicle at a current moment according to the surrounding map information; the current road condition information includes at least one of road geometry information, traffic facility information, road environment information and real-time dynamic information; The state-space equation of the vehicle is obtained.

5. The method according to claim 4, wherein determining a plurality of predicted thermal management state information corresponding to different moments in the prediction time domain according to the current thermal management state information and the thermal management dynamic characteristic information comprises: For any moment in the prediction time domain, at least one of the current temperature state information, the current occupant state information and the current road condition state information is input into the state space equation to obtain predicted thermal management state information for the any moment; Combining the plurality of predicted thermal management state information for any one of the moments, obtaining a plurality of predicted thermal management state information corresponding to different moments in the prediction time domain.

6. The method according to claim 4 or 5, characterized in that: The thermal management deviation characteristic information includes a cost function, and the acquiring of the thermal management deviation characteristic information of the vehicle determines, according to the current thermal management state information, the plurality of predicted thermal management state information, and the thermal management deviation characteristic information, a plurality of predicted thermal management control information corresponding to different moments in the prediction time domain, including: Obtain a thermal management control constraint range, and determine a plurality of predicted thermal management control information corresponding to different moments in the prediction time domain based on at least one of the current temperature state information, the current occupant state information and the current road condition state information, as well as the plurality of predicted thermal management state information and the cost function; the predicted thermal management control information is within the thermal management control constraint range, and the value of the cost function satisfies a preset condition.

7. The method according to claim 4 or 5, characterized in that: The vehicle thermal management system is in communication with the thermal management cloud platform, and the method further includes: The current temperature state information, the current occupant state information, at least one of the current road condition state information, the plurality of predicted thermal management state information, the plurality of predicted thermal management control information and the target thermal management control information are stored in the thermal management cloud platform.

8. A vehicle thermal management device, characterized in that: The device comprises: An information acquisition module, used to acquire the current thermal management state information and thermal management dynamic characteristic information of the vehicle at the current moment; the current moment is the starting moment of the prediction time domain; A state information prediction module, used to determine a plurality of predicted thermal management state information corresponding to different moments in the prediction time domain according to the current thermal management state information and the thermal management dynamic characteristic information; a control information prediction module, configured to obtain thermal management deviation characteristic information of the vehicle, and determine a plurality of predicted thermal management control information corresponding to different moments in the prediction time domain according to the current thermal management state information, the plurality of predicted thermal management state information, and the thermal management deviation characteristic information; A control information selection module, configured to select the predicted thermal management control information corresponding to the current moment from the plurality of predicted thermal management control information as target thermal management control information; The thermal management execution module is used to perform thermal management on the vehicle at the current moment using the target thermal management control information.

9. An electronic device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program implements the method according to any one of claims 1 to 7 when executed by the processor.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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