WPTC-based battery and passenger compartment heating control method, equipment and medium

Abstract

The embodiment of the invention discloses a WPTC-based battery and passenger compartment heating control method and device and a medium, and the method comprises the steps: carrying out the LSTM prediction of the battery temperature influence on the external environment temperature of a vehicle, so as to determine the battery temperature change prediction data; performing temperature preference analysis on the historical temperature of the passenger compartment to obtain temperature preference data of the passenger compartment; through temperature threshold monitoring, a passenger compartment heating signal and a battery heating signal are obtained; under the condition that only the passenger compartment heating signal exists, a passenger compartment heating mode is determined through control of a first high-pressure heater; under the condition that only the battery heating signal exists, a battery heating mode is determined through control of a second high-pressure heater; and under the condition that a passenger compartment heating signal and a battery heating signal exist, a comprehensive heating mode is determined through control of a third high-pressure heater. According to the method, the technical problems that the vehicle heating comfort is poor, the cost is high, and the heating effect is not timely are solved.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of vehicle intelligent heating, in particular to a battery and passenger cabin heating control method and device based on WPTC and a medium. BACKGROUND

[0002] The passenger cabin heating of a passenger vehicle generally uses a WPTC heating technology with a heat pump controller, and the prior art adopts two sets of heating systems, which is relatively high in cost. The passenger cabin heating of a commercial vehicle is mostly performed by APTC of a host manufacturer, and a single-grade APTC is adopted without developing a new air conditioning panel, because the cost control of the commercial vehicle is relatively strict. In the use process, the user is poor in comfort due to the unadjustable air temperature. The passenger cabin heating of a commercial vehicle is performed by WPTC heating with a controller by a few manufacturers, and the battery heating is generally achieved by a self-heating film or a WPTC with a controller.

[0003] On one hand, the heating method of the passenger cabin single-grade APTC is high in air outlet temperature and poor in passenger comfort, the heating method of the passenger cabin multi-grade APTC needs to develop a new air conditioning panel, and the mold cost is high, and the heating cost of the battery heating using the WPTC with a controller is high. On the other hand, the heating demand of the vehicle is different under different environments, and the manual sending of the heating signal cannot directly meet the user's heating demand in a cold environment. SUMMARY

[0004] The application embodiment provides a battery and passenger cabin heating control method and device based on WPTC and a medium, and solves the technical problems of poor vehicle heating comfort, high cost and slow heating effect.

[0005] In a first aspect, the application embodiment provides a battery and passenger cabin heating control method based on WPTC, characterized in that the method comprises the following steps: acquiring an external environment temperature of a vehicle, and performing LSTM prediction of the influence of the battery temperature on the external environment temperature of the vehicle to determine battery temperature change prediction data; acquiring a passenger cabin historical temperature, and performing temperature preference analysis on the passenger cabin historical temperature to obtain passenger cabin temperature preference data; based on the battery temperature change prediction data and the passenger cabin temperature preference data, obtaining a passenger cabin heating signal and a battery heating signal through temperature threshold monitoring; in the case where only the passenger cabin heating signal exists, determining a passenger cabin heating mode through first high-voltage heater control; in the case where only the battery heating signal exists, determining a battery heating mode through second high-voltage heater control; and in the case where both the passenger cabin heating signal and the battery heating signal exist, determining a comprehensive heating mode through third high-voltage heater control.

[0006] In an implementation form of the present application, the vehicle external environment temperature is subjected to LSTM prediction of battery temperature influence to determine battery temperature change prediction data, specifically comprising: data preprocessing of the vehicle external environment temperature to obtain environment temperature time series data; determining environment influence parameters through battery temperature influence analysis according to the environment temperature time series data; obtaining real-time battery temperature, and determining battery temperature change prediction data through LSTM prediction based on the environment influence parameters and the real-time battery temperature.

[0007] In an implementation form of the present application, the passenger cabin historical temperature is subjected to temperature preference analysis to obtain passenger cabin temperature preference data, specifically comprising: behavior pattern extraction of user active heating of the passenger cabin historical temperature to obtain inertia feature encoding; clustering analysis of the inertia feature encoding to determine user temperature preference prototype; obtaining the passenger cabin temperature preference data through an adaptive learning algorithm based on the user temperature preference prototype.

[0008] In an implementation form of the present application, based on the battery temperature change prediction data and the passenger cabin temperature preference data, the passenger cabin heating signal and the battery heating signal are obtained through temperature threshold monitoring, specifically comprising: setting temperature threshold parameters and configuring time delay of the temperature threshold parameters to obtain heating advance time; wherein the heating advance time includes passenger cabin heating advance time and battery heating advance time; based on the heating advance time, the battery temperature change prediction data is subjected to battery temperature monitoring of the advance time to obtain the battery heating signal; according to the heating advance time, the passenger cabin temperature preference data is subjected to passenger cabin temperature monitoring of the advance time to obtain the passenger cabin heating signal.

[0009] In an implementation form of the present application, in the case where only the passenger cabin heating signal exists, the passenger cabin heating mode is determined through first high-pressure heater control, specifically comprising: based on the passenger cabin heating signal, calling the vehicle controller to obtain the heater core water temperature; in the case where the heater core water temperature is greater than or equal to the first temperature threshold, running the water pump, not enabling the brainless WPTC, and closing the three-way water valve to determine the passenger cabin heating mode; in the case where the heater core water temperature is less than the first temperature threshold, running the water pump, synchronously enabling the brainless WPTC, and closing the three-way water valve to determine the passenger cabin heating mode.

[0010] In an implementation form of the present application, in the case of only the battery heating signal, the battery heating mode is determined through the second high-pressure heater control, specifically including: calling the vehicle controller according to the battery heating signal to obtain the battery inlet water temperature; in the case of the battery inlet water temperature being greater than or equal to the second temperature threshold, running the battery loop water pump, not enabling the water pump and the brainless WPTC, and opening the three-way water valve to determine the battery heating mode; in the case of the battery inlet water temperature being less than the second temperature threshold, running the battery loop water pump, synchronously enabling the water pump and the brainless WPTC, and opening the three-way water valve to determine the battery heating mode.

[0011] In an implementation form of the present application, in the case of the passenger compartment heating signal and the battery heating signal, the comprehensive heating mode is determined through the third high-pressure heater control, specifically including: calling the vehicle controller based on the passenger compartment heating signal and the battery heating signal to synchronously enable the battery heating mode and the passenger compartment heating mode to determine the comprehensive heating mode.

[0012] In an implementation form of the present application, after the comprehensive heating mode is determined through the third high-pressure heater control in the case of the passenger compartment heating signal and the battery heating signal, the method further includes: obtaining the passenger satisfaction degree of the comprehensive heating mode, and obtaining the temperature threshold update data through temperature threshold adjustment based on the passenger satisfaction degree.

[0013] In a second aspect, the embodiments of the present application also provide a battery and passenger compartment heating control device based on WPTC, characterized in that the device comprises: at least one processor; and a memory in communication connection with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to: obtain the vehicle external environment temperature, and perform LSTM prediction of the battery temperature influence on the vehicle external environment temperature to determine the battery temperature change prediction data; obtain the passenger compartment historical temperature, and perform temperature preference analysis on the passenger compartment historical temperature to obtain the passenger compartment temperature preference data; based on the battery temperature change prediction data and the passenger compartment temperature preference data, obtain the passenger compartment heating signal and the battery heating signal through temperature threshold monitoring; in the case of only the passenger compartment heating signal, determine the passenger compartment heating mode through the first high-pressure heater control; in the case of only the battery heating signal, determine the battery heating mode through the second high-pressure heater control; in the case of the passenger compartment heating signal and the battery heating signal, determine the comprehensive heating mode through the third high-pressure heater control.

[0014] In a third aspect, the embodiments of the present application also provide a nonvolatile computer storage medium based on WPTC battery and passenger cabin heating control, which stores computer executable instructions, and the computer executable instructions are configured to: acquire the vehicle external environment temperature, and perform LSTM prediction of the battery temperature influence on the vehicle external environment temperature to determine battery temperature change prediction data; acquire the passenger cabin historical temperature, and perform temperature preference analysis on the passenger cabin historical temperature to obtain passenger cabin temperature preference data; based on the battery temperature change prediction data and the passenger cabin temperature preference data, obtain the passenger cabin heating signal and the battery heating signal through temperature threshold monitoring; in the case that only the passenger cabin heating signal exists, determine the passenger cabin heating mode through first high-voltage heater control; in the case that only the battery heating signal exists, determine the battery heating mode through second high-voltage heater control; and in the case that both the passenger cabin heating signal and the battery heating signal exist, determine the comprehensive heating mode through third high-voltage heater control.

[0015] The embodiments of the present application provide a WPTC-based battery and passenger cabin heating control method, device and medium, which solves the technical problems of poor vehicle heating comfort, high cost and slow heating effect, realizes brainless WPTC heating and heating pre-analysis adaptation to the environment, reduces the heating cost of the passenger cabin and the battery, and improves the user experience. BRIEF DESCRIPTION OF DRAWINGS

[0016] The accompanying drawings, which are included to provide a further understanding of the present application, constitute a part of the present application, illustrate the exemplary embodiments of the present application and their description serve to explain the present application, and do not constitute improper limitations on the present application. In the drawings:

[0017] Figure 1 A WPTC-based battery and passenger cabin heating control method flowchart is provided for the embodiments of the present application;

[0018] Figure 2 A WPTC-based battery and passenger cabin heating control architecture diagram is provided for the embodiments of the present application;

[0019] Figure 3 A WPTC-based battery and passenger cabin heating control logic diagram is provided for the embodiments of the present application;

[0020] Figure 4 A WPTC-based battery and passenger cabin heating control device internal structure schematic diagram is provided for the embodiments of the present application. DETAILED DESCRIPTION

[0021] In order to make the purposes, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be described clearly and completely below in combination with specific embodiments of the present application and corresponding drawings. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of protection of the present application.

[0022] The embodiments of the present application provide a battery and passenger cabin heating control method, device and medium based on WPTC. Through vehicle external environment temperature analysis and high-voltage heater control under different signals, the technical problems of poor vehicle heating comfort, high cost and slow heating effect are solved, brainless WPTC heating and heating pre-analysis suitable for the environment are realized, the heating cost of the passenger cabin and the battery is reduced, and the user experience is improved.

[0023] The technical solutions of the embodiments of the present application will be described in detail below with reference to the drawings.

[0024] Figure 1 A flowchart of a battery and passenger cabin heating control method based on WPTC is provided in the embodiments of the present application. As shown in Figure 1 The battery and passenger cabin heating control method based on WPTC provided in the embodiments of the present application specifically includes the following steps:

[0025] Step 101, acquiring the vehicle external environment temperature, and performing LSTM prediction of the battery temperature influence on the vehicle external environment temperature to determine the battery temperature change prediction data.

[0026] Specifically, the LSTM prediction of the battery temperature influence on the vehicle external environment temperature is performed to determine the battery temperature change prediction data, specifically including: data preprocessing of the vehicle external environment temperature to obtain environment temperature time series data; determining environment influence parameters through battery temperature influence analysis according to the environment temperature time series data; acquiring the real-time temperature of the battery, and determining the battery temperature change prediction data through LSTM prediction based on the environment influence parameters and the real-time temperature of the battery.

[0027] In one embodiment, the vehicle external environment temperature data stream is acquired, the original temperature signal is preprocessed through multi-sensor fusion technology, noise interference is eliminated, and an environment temperature time series sequence is constructed.

[0028] Based on the current environment temperature trend and the real-time temperature reading of the battery, a long short-term memory neural network prediction model is input for battery temperature influence analysis.

[0029] By identifying the coupling relationship between the ambient temperature and the battery thermal behavior, a prediction data set containing the future period battery temperature change trend and rate is output, providing data support for the heat collection logic.

[0030] Step 102, obtaining the passenger cabin historical temperature, and performing temperature preference analysis on the passenger cabin historical temperature to obtain passenger cabin temperature preference data.

[0031] For example, by performing temperature preference analysis on the passenger cabin historical temperature, the temperature preference of the passenger cabin is determined, providing a data basis for the temperature threshold requirement of automatic heating.

[0032] Specifically, the temperature preference analysis on the passenger cabin historical temperature to obtain the passenger cabin temperature preference data specifically includes: extracting the behavior pattern of user active heating on the passenger cabin historical temperature to obtain inertia feature encoding; performing clustering analysis on the inertia feature encoding to determine a user temperature preference prototype; based on the user temperature preference prototype, obtaining the passenger cabin temperature preference data through a self-adaptive learning algorithm.

[0033] In one embodiment, the passenger cabin historical temperature adjustment record is first collected, and the behavior characteristics of the user active operation of the heating device are extracted to generate inertia feature encoding representing temperature preference.

[0034] Then, the feature encoding is pattern mined through an unsupervised clustering algorithm to identify temperature preference prototypes in different use scenarios.

[0035] Combined with real-time user operation feedback, the preference model is continuously optimized through an incremental adaptive learning mechanism, and finally a passenger cabin temperature preference data package containing a comfortable temperature benchmark interval and dynamic adjustment parameters is output.

[0036] Step 103, based on the battery temperature change prediction data and the passenger cabin temperature preference data, obtaining the passenger cabin heating signal and the battery heating signal through temperature threshold monitoring.

[0037] Specifically, based on the battery temperature change prediction data and the passenger cabin temperature preference data, the passenger cabin heating signal and the battery heating signal are obtained through temperature threshold monitoring, specifically including: setting temperature threshold parameters and configuring time delay for the temperature threshold parameters to obtain heating advance time; wherein the heating advance time includes: passenger cabin heating advance time and battery heating advance time; based on the heating advance time, the battery temperature change prediction data is monitored for battery temperature in advance time to obtain the battery heating signal; according to the heating advance time, the passenger cabin temperature preference data is monitored for passenger cabin temperature in advance time to obtain the passenger cabin heating signal.

[0038] In one embodiment, for the battery system, a dynamic trigger threshold is set according to the predicted cooling rate, and a preset time delay heating plan is started before the critical temperature is reached.

[0039] For the passenger cabin system, hierarchical monitoring thresholds are set according to the comfort interval in the preference data, and heating is activated in advance in combination with environmental mutation early warning.

[0040] Through parallel processing of the dual-channel threshold monitoring engine, real-time battery heating start instructions and passenger cabin heating intensity signals are generated, and power distribution collaborative control is realized at the system level.

[0041] Step 104, in the case of only passenger cabin heating signal, determine the passenger cabin heating mode through the first high-voltage heater control.

[0042] Specifically, in the case of only passenger cabin heating signal, determine the passenger cabin heating mode through the first high-voltage heater control, including: based on the passenger cabin heating signal, call the vehicle controller to obtain the water temperature of the heating circuit; in the case that the water temperature of the heating circuit is greater than or equal to the first temperature threshold, run the water pump, do not use the brainless WPTC, and close the three-way water valve to determine the passenger cabin heating mode; in the case that the water temperature of the heating circuit is less than the first temperature threshold, run the water pump, simultaneously enable the brainless WPTC, and close the three-way water valve to determine the passenger cabin heating mode.

[0043] Figure 2 A battery and passenger cabin heating control architecture based on WPTC is provided for the embodiments of the present application.

[0044] Figure 3 A battery and passenger cabin heating control logic diagram based on WPTC is provided for the embodiments of the present application.

[0045] In one embodiment, when the passenger cabin has a heating request, the VCU determines whether the brainless WPTC needs to work according to the heating request sent by the air conditioning panel and the water temperature sensor 1.

[0046] If the water temperature T1 of the heating circuit is ≥60℃, the water pump is running, the WPTC is not working, and the three-way water valve is closed (1, 2 pass).

[0047] Similarly, when the passenger cabin has a heating request, the VCU determines whether the brainless WPTC needs to work according to the heating request sent by the air conditioning panel and the water temperature sensor 1.

[0048] If the water temperature T1 of the heating circuit is <60℃, the water pump is running, the multi-in-one semiconductor switch is closed, the WPTC is working, and the three-way water valve is closed (1, 2 pass).

[0049] Step 105, in the case of only battery heating signal, determine the battery heating mode through the second high-voltage heater control.

[0050] Specifically, in the case of only the battery heating signal, the battery heating mode is determined by the second high-voltage heater control, including: calling the vehicle controller according to the battery heating signal to obtain the battery inlet water temperature; in the case that the battery inlet water temperature is greater than or equal to the second temperature threshold, running the battery circuit water pump, not enabling the water pump and the brainless WPTC, and opening the three-way water valve to determine the battery heating mode; in the case that the battery inlet water temperature is less than the second temperature threshold, running the battery circuit water pump, synchronously enabling the water pump and the brainless WPTC, and opening the three-way water valve to determine the battery heating mode.

[0051] In one embodiment, the battery has a heating request, and the VCU judges according to the heating request sent by the BMS and the water temperature sensor 2.

[0052] If the VCU receives the battery inlet water temperature T2≥50℃, the battery circuit water pump 2 works, the water pump 1 and the brainless WPTC do not work, and the three-way water valve is opened (1, 3-way).

[0053] Similarly, the battery has a heating request, and the VCU judges according to the heating request sent by the BMS and the water temperature sensor 2.

[0054] If the VCU receives the battery inlet water temperature T2<50℃, the battery circuit water pump 2 works, and the water pump 1 and the brainless WPTC work, and the three-way water valve is opened (1, 3-way).

[0055] Step 106, in the case of the presence of the passenger compartment heating signal and the battery heating signal, the comprehensive heating mode is determined by the third high-voltage heater control.

[0056] Specifically, in the case of the presence of the passenger compartment heating signal and the battery heating signal, the comprehensive heating mode is determined by the third high-voltage heater control, including: based on the passenger compartment heating signal and the battery heating signal, calling the vehicle controller to synchronously enable the battery heating mode and the passenger compartment heating mode to determine the comprehensive heating mode.

[0057] In one implementation manner of the present application, after the comprehensive heating mode is determined by the third high-voltage heater control in the case of the presence of the passenger compartment heating signal and the battery heating signal, the method further includes: obtaining the passenger satisfaction degree of the comprehensive heating mode, and obtaining temperature threshold update data through temperature threshold adjustment based on the passenger satisfaction degree.

[0058] In one embodiment, the passenger compartment and the battery both have a heating request, and the VCU judges the water pump 1, the water pump 2, the brainless WPTC, and the three-way water valve work according to the request and the water temperature T1, T2, and the control logic follows the control logic in the battery heating mode and the passenger compartment heating mode.

[0059] The application improves the universality of the system by combining the heating configuration of the WPTC with the heating threshold configuration of the environment self-use, improves the user comfort by adjusting the heating and cooling of the warm air and analyzing the heating preference according to the water temperature, and reduces the heating energy consumption by the intermittent work of the brainless WPTC.

[0060] The above is the method embodiment of the application. Based on the same inventive concept, the application embodiment also provides a WPTC-based battery and passenger cabin heating control device, the structure of which is as shown in Figure 4 .

[0061] Figure 4 The application provides a WPTC-based battery and passenger cabin heating control device internal structure diagram. As shown in Figure 4 , the device comprises:

[0062] at least one processor 401;

[0063] and a memory 402 in communication connection with the at least one processor;

[0064] The memory 402 stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor 401 to enable the at least one processor 401 to:

[0065] obtain the vehicle external environment temperature and perform LSTM prediction of the influence of the battery temperature on the vehicle external environment temperature to determine the battery temperature change prediction data; obtain the passenger cabin historical temperature and perform temperature preference analysis on the passenger cabin historical temperature to obtain the passenger cabin temperature preference data; based on the battery temperature change prediction data and the passenger cabin temperature preference data, obtain the passenger cabin heating signal and the battery heating signal through temperature threshold monitoring; in the case of only the passenger cabin heating signal, determine the passenger cabin heating mode through the first high-pressure heater control; in the case of only the battery heating signal, determine the battery heating mode through the second high-pressure heater control; in the case of the passenger cabin heating signal and the battery heating signal, determine the comprehensive heating mode through the third high-pressure heater control.

[0066] Some embodiments of the application provide a non-volatile computer storage medium for WPTC-based battery and passenger cabin heating control corresponding to Figure 1 , which stores computer executable instructions, and the computer executable instructions are set to:

[0067] The vehicle's external ambient temperature is obtained, and an LSTM prediction of the battery temperature impact is performed on the vehicle's external ambient temperature to determine battery temperature change prediction data; the passenger compartment historical temperature is obtained, and a temperature preference analysis is performed on the passenger compartment historical temperature to obtain passenger compartment temperature preference data; based on the battery temperature change prediction data and the passenger compartment temperature preference data, a passenger compartment heating signal and a battery heating signal are obtained through temperature threshold monitoring; in the case where only the passenger compartment heating signal exists, the passenger compartment heating mode is determined by controlling the first high-voltage heater; in the case where only the battery heating signal exists, the battery heating mode is determined by controlling the second high-voltage heater; in the case where both the passenger compartment heating signal and the battery heating signal exist, the comprehensive heating mode is determined by controlling the third high-voltage heater.

[0068] The various embodiments in this application are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other. Each embodiment focuses on the differences from the other embodiments. In particular, the IoT device and media embodiments are generally similar to the method embodiments, so their description is relatively simple. For relevant portions, refer to the description of the method embodiments.

[0069] The system and medium provided in the embodiments of the present application correspond one-to-one to the method. Therefore, the system and medium also have similar beneficial technical effects to their corresponding methods. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the system and medium will not be repeated here.

[0070] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0071] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1an apparatus to perform each block or blocks of the flow or multiple flows and / or a function specified by each block or blocks of the flow or multiple flows.

[0072] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a Figure 1 a flow or multiple flows and / or a function specified by each block or blocks of the flow or multiple flows. Figure 1 an apparatus to perform each block or blocks of the flow or multiple flows and / or a function specified by each block or blocks of the flow or multiple flows.

[0073] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the flow or multiple flows and / or a function specified by each block or blocks of the flow or multiple flows. Figure 1 a flow or multiple flows and / or a function specified by each block or blocks of the flow or multiple flows. Figure 1 an apparatus to perform each block or blocks of the flow or multiple flows and / or a function specified by each block or blocks of the flow or multiple flows.

[0074] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0075] The memory can include non-persistent memory and / or volatile memory, such as random access memory (RAM) and / or cache memory. The memory can also include non-volatile memory, such as read-only memory (ROM), electrically programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), flash memory, or a combination of non-volatile memories. The memory is an example of computer-readable media.

[0076] Computer-readable media includes permanent and non-permanent, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD), or other optical storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer-readable media does not include transitory media, such as modulated data signals and carrier waves.

[0077] It should also be noted that the terms "comprising", "comprises" or other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0078] The above embodiments are only used to illustrate the present application, but not to limit it. Instead of the above, various modifications and changes can be made to the application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the application shall fall into the scope of the claims of the application.

Claims

1. A WPTC-based battery and passenger compartment heating control method, characterized in that: The method comprises: Obtaining the ambient temperature outside the vehicle and performing an LSTM prediction of the impact of the ambient temperature outside the vehicle on the battery temperature to determine battery temperature change prediction data; Acquiring historical temperatures of the passenger cabin and performing a temperature preference analysis on the historical temperatures of the passenger cabin to obtain passenger cabin temperature preference data; Based on the battery temperature change prediction data and the passenger compartment temperature preference data, obtaining a passenger compartment heating signal and a battery heating signal through temperature threshold monitoring; determining a passenger compartment heating mode by controlling the first high-voltage heater when only the passenger compartment heating signal is present; In a case where only the battery heating signal is present, determining a battery heating mode by controlling the second high-voltage heater; In the presence of the passenger compartment heating signal and the battery heating signal, a comprehensive heating mode is determined by controlling the third high-voltage heater.

2. A WPTC-based battery and passenger compartment heating control method according to claim 1, characterized in that: Performing an LSTM prediction of the battery temperature impact on the vehicle's external ambient temperature to determine battery temperature change prediction data, specifically including: Performing data preprocessing on the ambient temperature outside the vehicle to obtain ambient temperature time series data; Determining environmental impact parameters through battery temperature impact analysis based on the environmental temperature time series data; The real-time temperature of the battery is obtained, and based on the environmental impact parameter and the real-time temperature of the battery, the battery temperature change prediction data is determined through LSTM prediction.

3. The method for controlling heating of a battery and a passenger compartment based on WPTC according to claim 1, characterized in that: Performing a temperature preference analysis on the passenger compartment historical temperature to obtain passenger compartment temperature preference data, specifically including: Extracting a user's active heating behavior pattern from the historical temperature of the passenger cabin to obtain an inertial feature code; performing a cluster analysis on the inertial feature codes to determine a user temperature preference prototype; Based on the user temperature preference prototype, the passenger compartment temperature preference data is obtained through an adaptive learning algorithm.

4. A WPTC-based battery and passenger compartment heating control method according to claim 1, characterized in that: Based on the battery temperature change prediction data and the passenger compartment temperature preference data, obtaining a passenger compartment heating signal and a battery heating signal through temperature threshold monitoring specifically includes: Setting a temperature threshold parameter and performing a time delay configuration on the temperature threshold parameter to obtain a heating advance time; wherein the heating advance time includes: a passenger compartment heating advance time and a battery heating advance time; Based on the heating advance time, performing battery temperature monitoring for the battery temperature change prediction data in advance to obtain the battery heating signal; According to the heating advance time, the passenger compartment temperature preference data is monitored for the passenger compartment temperature at the advance time to obtain the passenger compartment heating signal.

5. The method for controlling heating of a battery and a passenger compartment based on WPTC according to claim 1, characterized in that: In the case where only the passenger compartment heating signal is present, determining the passenger compartment heating mode through the control of the first high-voltage heater specifically includes: Based on the passenger compartment heating signal, calling the vehicle controller to obtain the water temperature of the heating circuit; When the water temperature of the heating circuit is greater than or equal to a first temperature threshold, the water pump is operated, the mindless WPTC is not activated, and the three-way water valve is closed to determine the passenger compartment heating mode; When the water temperature of the warm air circuit is below the first temperature threshold, the water pump is operated, the brainless WPTC is simultaneously enabled, and the three-way water valve is closed to determine the passenger compartment heating mode.

6. A WPTC-based battery and passenger compartment heating control method according to claim 5, characterized in that: In the case where only the battery heating signal is present, determining the battery heating mode through control of the second high-voltage heater specifically includes: According to the battery heating signal, the vehicle controller is called to obtain the battery inlet water temperature; When the battery inlet water temperature is greater than or equal to a second temperature threshold, the battery circuit water pump is operated, the water pump and the brainless WPTC are disabled, and the three-way water valve is opened to determine the battery heating mode; When the pool inlet water temperature is lower than the second temperature threshold, the battery circuit water pump is operated, the water pump and the brainless WPTC are simultaneously enabled, and the three-way water valve is opened to determine the battery heating mode.

7. A WPTC-based battery and passenger compartment heating control method according to claim 6, characterized in that: In the presence of the passenger compartment heating signal and the battery heating signal, a comprehensive heating mode is determined by controlling the third high-voltage heater, specifically including: Based on the passenger compartment heating signal and the battery heating signal, the vehicle controller is called to synchronously enable the battery heating mode and the passenger compartment heating mode to determine the comprehensive heating mode.

8. The method for controlling heating of a battery and a passenger compartment based on WPTC according to claim 1, characterized in that: After determining a comprehensive heating mode by controlling the third high-voltage heater in the presence of the passenger compartment heating signal and the battery heating signal, the method further includes: The occupant satisfaction of the comprehensive heating mode is obtained, and based on the occupant satisfaction, the temperature threshold is adjusted to obtain temperature threshold update data.

9. A WPTC-based battery and passenger compartment heating control device, characterized in that: The device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to: Obtaining the ambient temperature outside the vehicle and performing an LSTM prediction of the impact of the ambient temperature outside the vehicle on the battery temperature to determine battery temperature change prediction data; Acquiring historical temperatures of the passenger cabin and performing a temperature preference analysis on the historical temperatures of the passenger cabin to obtain passenger cabin temperature preference data; Based on the battery temperature change prediction data and the passenger compartment temperature preference data, obtaining a passenger compartment heating signal and a battery heating signal through temperature threshold monitoring; determining a passenger compartment heating mode by controlling the first high-voltage heater when only the passenger compartment heating signal is present; In a case where only the battery heating signal is present, determining a battery heating mode by controlling the second high-voltage heater; In the presence of the passenger compartment heating signal and the battery heating signal, a comprehensive heating mode is determined by controlling the third high-voltage heater.

10. A non-volatile computer storage medium for WPTC-based battery and passenger compartment heating control, storing computer-executable instructions, characterized in that: The computer executable instructions are configured to: Obtaining the ambient temperature outside the vehicle and performing an LSTM prediction of the impact of the ambient temperature outside the vehicle on the battery temperature to determine battery temperature change prediction data; Acquiring historical temperatures of the passenger cabin and performing a temperature preference analysis on the historical temperatures of the passenger cabin to obtain passenger cabin temperature preference data; Based on the battery temperature change prediction data and the passenger compartment temperature preference data, obtaining a passenger compartment heating signal and a battery heating signal through temperature threshold monitoring; determining a passenger compartment heating mode by controlling the first high-voltage heater when only the passenger compartment heating signal is present; In a case where only the battery heating signal is present, determining a battery heating mode by controlling the second high-voltage heater; In the presence of the passenger compartment heating signal and the battery heating signal, a comprehensive heating mode is determined by controlling the third high-voltage heater.

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