Battery and passenger cabin heating control method and device based on wptc, and medium

Abstract

The application discloses a battery and passenger cabin heating control method and device based on WPTC, and a medium. The method comprises the following steps: performing LSTM prediction on the influence of the temperature of an external environment of a vehicle on a battery temperature, so as to determine battery temperature change prediction data; performing temperature preference analysis on historical temperature of a passenger cabin, so as to obtain 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. The application solves the technical problems of poor vehicle heating comfort, high cost and slow heating effect.

Description

Technical Field

[0001] This application relates to the field of vehicle intelligent heating technology, and in particular to a battery and passenger compartment heating control method, device and medium based on WPTC. Background Technology

[0002] Passenger vehicle cabin heating commonly uses heat pumps combined with WPTC (Power-Only Temperature Coefficient) heating technology with a controller. Current technology employs two heating systems, resulting in higher costs. Commercial vehicle cabin heating is mostly implemented by OEMs using APTC (Action-Only Temperature Coefficient). Due to stricter cost controls in commercial vehicles, and to avoid developing new air conditioning panels, single-stage APTC is used, leading to poor user comfort due to the inability to adjust the air temperature. A few manufacturers in the commercial vehicle cabin heating sector use WPTC heating with a controller; for family use, this is generally achieved through integrated heating films or WPTC heating with a controller.

[0003] On the one hand, using a single-level APTC heating system in the passenger compartment results in high outlet air temperatures and poor passenger comfort; using a multi-level APTC heating system requires the development of a new air conditioning panel, leading to high mold costs, while battery-powered heating using a WPTC system with a controller is also costly. On the other hand, the heating needs of vehicles vary depending on the environment, and manually issuing heating signals in cold environments cannot directly meet the heating needs of users. Summary of the Invention

[0004] This application provides a battery and passenger compartment heating control method, device and medium based on WPTC, which solves the technical problems of poor vehicle heating comfort, high cost and untimely heating effect.

[0005] In a first aspect, embodiments of this application provide a battery and passenger compartment heating control method based on WPTC, characterized in that the method includes: acquiring the external ambient temperature of the vehicle and performing LSTM prediction on the impact of the external ambient temperature on battery temperature to determine battery temperature change prediction data; acquiring the historical temperature of the passenger compartment and performing temperature preference analysis on the historical temperature of the passenger compartment to obtain passenger compartment temperature preference data; based on the battery temperature change prediction data and the passenger compartment temperature preference data, obtaining passenger compartment heating signals and battery heating signals through temperature threshold monitoring; when only the passenger compartment heating signal exists, determining the passenger compartment heating mode through control of a first high-voltage heater; when only the battery heating signal exists, determining the battery heating mode through control of a second high-voltage heater; and when both the passenger compartment heating signal and the battery heating signal exist, determining the comprehensive heating mode through control of a third high-voltage heater.

[0006] In one implementation of this application, LSTM prediction of the impact of battery temperature on the external ambient temperature of the vehicle is performed to determine battery temperature change prediction data. Specifically, this includes: preprocessing the external ambient temperature data to obtain ambient temperature time series data; determining environmental impact parameters through battery temperature impact analysis based on the ambient temperature time series data; acquiring the real-time battery temperature; and determining battery temperature change prediction data through LSTM prediction based on the environmental impact parameters and the real-time battery temperature.

[0007] In one implementation of this application, a temperature preference analysis is performed on the historical temperature of the passenger cabin to obtain passenger cabin temperature preference data. Specifically, this includes: extracting user active heating behavior patterns from the historical temperature of the passenger cabin to obtain inertial feature codes; performing cluster analysis on the inertial feature codes to determine user temperature preference prototypes; and obtaining passenger cabin temperature preference data based on user temperature preference prototypes through an adaptive learning algorithm.

[0008] In one implementation of this application, based on battery temperature change prediction data and passenger cabin temperature preference data, a passenger cabin heating signal and a battery heating signal are obtained through temperature threshold monitoring. Specifically, this includes: setting a temperature threshold parameter and configuring a time delay on the temperature threshold parameter to obtain a heating advance time; wherein, the heating advance time includes: a passenger cabin heating advance time and a battery heating advance time; based on the heating advance time, performing battery temperature monitoring on the battery temperature change prediction data at the advance time to obtain a battery heating signal; and based on the heating advance time, performing passenger cabin temperature monitoring on the passenger cabin temperature preference data at the advance time to obtain a passenger cabin heating signal.

[0009] In one implementation of this application, when only a passenger compartment heating signal exists, the passenger compartment heating mode is determined by controlling the first high-pressure heater. Specifically, this includes: based on the passenger compartment heating signal, calling the vehicle controller to obtain the heater circuit water temperature; when the heater circuit water temperature is greater than or equal to a first temperature threshold, running the water pump, disabling the WPTC (Power-On-Demand Control) function, and closing the three-way water valve to determine the passenger compartment heating mode; when the heater circuit water temperature is below the first temperature threshold, running the water pump, simultaneously enabling the WPTC function, and closing the three-way water valve to determine the passenger compartment heating mode.

[0010] In one implementation of this application, when only a battery heating signal exists, the battery heating mode is determined by controlling the second high-voltage heater. Specifically, this includes: based on the battery heating signal, calling the vehicle controller to obtain the battery inlet water temperature; if the battery inlet water temperature is greater than or equal to a second temperature threshold, running the battery circuit water pump, disabling the water pump and the WPTC (Power-On-Demand Circuit), and opening the three-way water valve to determine the battery heating mode; if the battery inlet water temperature is less than the second temperature threshold, running the battery circuit water pump, simultaneously activating the water pump and the WPTC, and opening the three-way water valve to determine the battery heating mode.

[0011] In one implementation of this application, when there are passenger compartment heating signals and battery heating signals, a comprehensive heating mode is determined by controlling a third high-voltage heater. Specifically, this includes: based on the passenger compartment heating signals and battery heating signals, calling the vehicle controller to simultaneously enable the battery heating mode and the passenger compartment heating mode, and determining the comprehensive heating mode.

[0012] In one implementation of this application, after determining the integrated heating mode by controlling the third high-pressure heater in the presence of both a crew cabin heating signal and a battery heating signal, the method further includes: obtaining the crew satisfaction of the integrated heating mode, and obtaining temperature threshold update data by adjusting the temperature threshold based on the crew satisfaction.

[0013] Secondly, embodiments of this application also provide a battery and passenger compartment heating control device based on WPTC, characterized in that the device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to: acquire the external ambient temperature of the vehicle and perform LSTM prediction of the impact of the external ambient temperature on the battery temperature to determine battery temperature change prediction data; acquire the historical temperature of the passenger compartment and perform temperature preference analysis on the historical temperature of the passenger compartment to obtain passenger compartment temperature preference data; based on the battery temperature change prediction data and the passenger compartment temperature preference data, obtain passenger compartment heating signals and battery heating signals through temperature threshold monitoring; when only the passenger compartment heating signal exists, determine the passenger compartment heating mode through control of a first high-pressure heater; when only the battery heating signal exists, determine the battery heating mode through control of a second high-pressure heater; and when both the passenger compartment heating signal and the battery heating signal exist, determine the comprehensive heating mode through control of a third high-pressure heater.

[0014] Thirdly, embodiments of this application also provide a non-volatile computer storage medium for battery and passenger compartment heating control based on WPTC, storing computer-executable instructions. The computer-executable instructions are characterized by: acquiring the external ambient temperature of the vehicle and performing LSTM prediction on the impact of the external ambient temperature on battery temperature to determine predicted battery temperature change data; acquiring the historical temperature of the passenger compartment and performing temperature preference analysis on the historical passenger compartment temperature to obtain passenger compartment temperature preference data; based on the predicted battery temperature change data and the passenger compartment temperature preference data, obtaining passenger compartment heating signals and battery heating signals through temperature threshold monitoring; determining the passenger compartment heating mode by controlling a first high-voltage heater when only the passenger compartment heating signal exists; determining the battery heating mode by controlling a second high-voltage heater when only the battery heating signal exists; and determining a combined heating mode by controlling a third high-voltage heater when both passenger compartment heating signals and battery heating signals exist.

[0015] This application provides a battery and passenger compartment heating control method, device, and medium based on WPTC. By analyzing the external ambient temperature and controlling the high-pressure heater under different signals, it solves the technical problems of poor vehicle heating comfort, high cost, and untimely heating effect. It realizes brainless WPTC heating and environmentally adapted heating pre-analysis, reduces the heating cost of the passenger compartment and battery, and improves the user experience. Attached Figure Description

[0016] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0017] Figure 1 A flowchart of a battery and crew cabin heating control method based on WPTC provided in this application embodiment;

[0018] Figure 2 A diagram illustrating a WPTC-based battery and crew cabin heating control architecture is provided for embodiments of this application.

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

[0020] Figure 4 This is a schematic diagram of the internal structure of a WPTC-based battery and passenger compartment heating control device provided in an embodiment of this application. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0022] This application provides a battery and passenger compartment heating control method, device, and medium based on WPTC. By analyzing the external ambient temperature and controlling the high-pressure heater under different signals, it solves the technical problems of poor vehicle heating comfort, high cost, and untimely heating effect. It realizes brainless WPTC heating and environmentally adapted heating pre-analysis, reduces the heating cost of the passenger compartment and battery, and improves the user experience.

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

[0024] Figure 1 This is a flowchart illustrating a battery and passenger compartment heating control method based on WPTC, provided as an embodiment of this application. Figure 1 As shown in the figure, the battery and crew cabin heating control method based on WPTC provided in this application embodiment specifically includes the following steps:

[0025] Step 101: Obtain the vehicle's external ambient temperature and perform LSTM prediction on the impact of the external ambient temperature on battery temperature to determine the predicted data for battery temperature changes.

[0026] Specifically, LSTM prediction of the impact of vehicle external ambient temperature on battery temperature is used to determine battery temperature change prediction data. This includes: preprocessing the vehicle external ambient temperature data to obtain ambient temperature time series data; determining environmental impact parameters through battery temperature impact analysis based on the ambient temperature time series data; acquiring the real-time battery temperature; and determining battery temperature change prediction data through LSTM prediction based on the environmental impact parameters and the real-time battery temperature.

[0027] In one embodiment, the external ambient temperature data stream of the vehicle is acquired, and the raw temperature signal is preprocessed using multi-sensor fusion technology to eliminate noise interference and construct an ambient temperature time series.

[0028] Based on the current ambient temperature trend and the real-time battery temperature reading, the battery temperature impact is analyzed by inputting the data into a long short-term memory neural network prediction model.

[0029] By identifying the coupling relationship between ambient temperature and battery thermal behavior, a predictive dataset containing the future trend and rate of battery temperature change is output, providing data support for the heat harvesting logic.

[0030] Step 102: Obtain the historical temperature of the crew cabin and perform a temperature preference analysis on the historical temperature of the crew cabin to obtain the temperature preference data of the crew cabin.

[0031] For example, temperature preference analysis can be performed on the historical temperature of the passenger cabin to determine the temperature preference of the passenger cabin, providing a data basis for the temperature threshold requirements of automatic heating.

[0032] Specifically, a temperature preference analysis is performed on the historical temperature of the passenger cabin to obtain passenger cabin temperature preference data. This includes: extracting user active heating behavior patterns from the historical temperature of the passenger cabin to obtain inertial feature codes; performing cluster analysis on the inertial feature codes to determine user temperature preference prototypes; and obtaining passenger cabin temperature preference data based on user temperature preference prototypes through an adaptive learning algorithm.

[0033] In one embodiment, historical temperature regulation records of the passenger cabin are first collected, and the behavioral characteristics of users actively operating heating equipment are extracted to generate inertial feature codes that characterize temperature preferences.

[0034] Then, unsupervised clustering algorithm is used to perform pattern mining on the feature encoding to identify temperature preference prototypes under different usage scenarios.

[0035] By combining real-time user operation feedback, the preference model is continuously optimized through an incremental adaptive learning mechanism, and finally outputs a passenger cabin temperature preference data package containing a comfort temperature baseline range and dynamic adjustment parameters.

[0036] Step 103: Based on the predicted battery temperature change data and the passenger cabin temperature preference data, obtain the passenger cabin heating signal and the battery heating signal through temperature threshold monitoring.

[0037] Specifically, based on battery temperature change prediction data and passenger cabin temperature preference data, passenger cabin heating signals and battery heating signals are obtained through temperature threshold monitoring. This includes: setting temperature threshold parameters and configuring a time delay for the temperature threshold parameters to obtain a 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, battery temperature monitoring is performed on the battery temperature change prediction data at the advance time to obtain a battery heating signal; based on the heating advance time, passenger cabin temperature monitoring is performed on the passenger cabin temperature preference data at the advance time to obtain a passenger cabin heating signal.

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

[0039] For the passenger cabin system, tiered monitoring thresholds are set based on the comfort zones in the preference data, and heating is activated in advance in conjunction with early warning of sudden environmental changes.

[0040] The dual-channel threshold monitoring engine processes data in parallel to generate real-time battery heating start commands and passenger cabin heating intensity signals, and achieves coordinated power distribution control at the system level.

[0041] Step 104: When only the crew compartment heating signal exists, determine the crew compartment heating mode by controlling the first high-pressure heater.

[0042] Specifically, when only the passenger compartment heating signal exists, the passenger compartment heating mode is determined by controlling the first high-pressure heater, including: based on the passenger compartment heating signal, calling the vehicle controller to obtain the heater circuit water temperature; when the heater circuit water temperature is greater than or equal to a first temperature threshold, running the water pump, not activating the WPTC (Power-On-Demand Control), and closing the three-way water valve to determine the passenger compartment heating mode; when the heater circuit water temperature is below the first temperature threshold, running the water pump, simultaneously activating the WPTC, and closing the three-way water valve to determine the passenger compartment heating mode.

[0043] Figure 2 This is a diagram of a battery and crew cabin heating control architecture based on WPTC, provided for an embodiment of this application.

[0044] Figure 3 This application provides a WPTC-based battery and passenger compartment heating control logic diagram.

[0045] In one embodiment, when there is a heating request in the passenger compartment, the VCU determines whether the brainless WPTC needs to operate based on the heating request sent by the air conditioning panel and the water temperature sensor 1.

[0046] If the water temperature T1 in the heating circuit is ≥60℃, the water pump will run, the WPTC will not work, and the three-way water valve (1 and 2) will be closed.

[0047] Similarly, when there is a heating request in the passenger compartment, the VCU determines whether the brainless WPTC needs to be activated based on the heating request sent by the air conditioning panel and the water temperature sensor 1.

[0048] If the water temperature T1 in the heating circuit is less than 60℃, the water pump will run, and the multi-function semiconductor switch will be closed at the same time. The WPTC will work, and the three-way water valve (1 and 2) will be closed.

[0049] Step 105: When only a battery heating signal exists, the battery heating mode is determined by controlling the second high-voltage heater.

[0050] Specifically, when only a battery heating signal exists, the battery heating mode is determined by controlling the second high-voltage heater, including: based on the battery heating signal, calling the vehicle controller to obtain the battery inlet water temperature; if the battery inlet water temperature is greater than or equal to a second temperature threshold, running the battery circuit water pump, disabling the water pump and the WPTC (Power-On-Demand Circuit), and opening the three-way water valve to determine the battery heating mode; if the battery inlet water temperature is less than the second temperature threshold, running the battery circuit water pump, simultaneously activating the water pump and the 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 determines this based on the heating request sent by the BMS and the water temperature sensor 2.

[0052] If the VCU receives a battery inlet water temperature T2 ≥ 50℃, then the battery circuit water pump 2 will work, while water pump 1 and the brainless WPTC will not work, and the three-way water valves (1 and 3) will open.

[0053] Similarly, if the battery requests heating, the VCU will determine the heating request based on the BMS and the water temperature sensor 2.

[0054] If the VCU receives a battery inlet water temperature T2 < 50℃, the battery circuit water pump 2 will operate, and at the same time, water pump 1 and the WPTC will operate, and the three-way water valves (1 and 3) will open.

[0055] Step 106: In the presence of crew compartment heating signals and battery heating signals, determine the integrated heating mode through the control of the third high-pressure heater.

[0056] Specifically, when there are passenger compartment heating signals and battery heating signals, the comprehensive heating mode is determined by controlling the third high-voltage heater, including: based on the passenger compartment heating signals and battery heating signals, calling the vehicle controller to simultaneously activate the battery heating mode and passenger compartment heating mode, and determining the comprehensive heating mode.

[0057] In one implementation of this application, after determining the integrated heating mode by controlling the third high-pressure heater in the presence of both a crew cabin heating signal and a battery heating signal, the method further includes: obtaining the crew satisfaction of the integrated heating mode, and obtaining temperature threshold update data by adjusting the temperature threshold based on the crew satisfaction.

[0058] In one embodiment, both the passenger compartment and the battery have heating requests. The VCU determines the operation of water pump 1, water pump 2, WPTC, and three-way water valve based on the requests and water temperatures T1 and T2. The control logic follows the control logic in the battery heating mode and the passenger compartment heating mode.

[0059] This application improves the system's versatility by combining environmentally self-use heating threshold configuration with the heating configuration of the WPTC without controller. It also improves user comfort by adjusting the heating air on / off based on water temperature and analyzing heating preferences, and reduces heating energy consumption through the intermittent operation of the mindless WPTC.

[0060] The above are embodiments of the method proposed in this application. Based on the same inventive concept, embodiments of this application also provide a battery and crew cabin heating control device based on WPTC, the structure of which is as follows: Figure 4 As shown.

[0061] Figure 4 This is a schematic diagram of the internal structure of a WPTC-based battery and passenger compartment heating control device, provided as an embodiment of this application. Figure 4 As shown, the device includes:

[0062] At least one processor 401;

[0063] And a memory 402 that is communicatively connected to at least one processor;

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

[0065] The system acquires the vehicle's external ambient temperature and performs LSTM prediction on the impact of this temperature on battery temperature to determine predicted battery temperature changes. It also acquires historical passenger compartment temperatures and performs temperature preference analysis to obtain passenger compartment temperature preference data. Based on the predicted battery temperature changes and passenger compartment temperature preference data, it obtains passenger compartment heating signals and battery heating signals through temperature threshold monitoring. When only a passenger compartment heating signal is present, the system determines the passenger compartment heating mode through control of the first high-voltage heater. When only a battery heating signal is present, the system determines the battery heating mode through control of the second high-voltage heater. When both passenger compartment and battery heating signals are present, the system determines the combined heating mode through control of the third high-voltage heater.

[0066] Some embodiments of this application provide corresponding to Figure 1 A non-volatile computer storage medium based on WPTC for battery and crew cabin heating control, storing computer-executable instructions, wherein the computer-executable instructions are configured as follows:

[0067] The system acquires the vehicle's external ambient temperature and performs LSTM prediction on the impact of this temperature on battery temperature to determine predicted battery temperature changes. It also acquires historical passenger compartment temperatures and performs temperature preference analysis to obtain passenger compartment temperature preference data. Based on the predicted battery temperature changes and passenger compartment temperature preference data, it obtains passenger compartment heating signals and battery heating signals through temperature threshold monitoring. When only a passenger compartment heating signal is present, the system determines the passenger compartment heating mode through control of the first high-voltage heater. When only a battery heating signal is present, the system determines the battery heating mode through control of the second high-voltage heater. When both passenger compartment and battery heating signals are present, the system determines the combined heating mode through control of the third high-voltage heater.

[0068] The various embodiments in this application are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments for IoT devices and media are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0069] The systems, media, and methods provided in this application are one-to-one correspondences. Therefore, the systems and media also have similar beneficial technical effects as their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the systems and media will not be repeated here.

[0070] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0071] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1A device that provides the functions specified in one or more boxes.

[0072] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0073] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

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

[0075] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0076] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, 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 erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0077] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0078] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A battery and crew cabin heating control method based on WPTC, characterized in that, The method includes: The vehicle's external ambient temperature is acquired, and an LSTM prediction of the impact of the external ambient temperature on battery temperature is performed to determine the predicted data for battery temperature changes. The historical temperature of the passenger cabin is obtained, and a temperature preference analysis is performed on the historical temperature of the passenger cabin to obtain passenger cabin temperature preference data. 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. In the presence of only the crew cabin heating signal, the crew cabin heating mode is determined by controlling the first high-pressure heater; In the presence of only the battery heating signal, the battery heating mode is determined by controlling the second high-voltage heater; In the presence of both the crew cabin heating signal and the battery heating signal, a combined heating mode is determined by controlling the third high-voltage heater. LSTM prediction of the impact of the vehicle's external ambient temperature on battery temperature is performed to determine battery temperature change prediction data, specifically including: The ambient temperature outside the vehicle is preprocessed to obtain time-series ambient temperature data. Based on the ambient temperature time-series data, environmental impact parameters are determined through battery temperature influence analysis. The real-time battery temperature is obtained, and based on the environmental impact parameters and the real-time battery temperature, the predicted data of battery temperature change is determined by LSTM prediction.

2. The battery and crew cabin heating control method based on WPTC according to claim 1, characterized in that, A temperature preference analysis was performed on the historical temperature of the crew cabin to obtain crew cabin temperature preference data, specifically including: The historical temperature of the passenger cabin is analyzed to extract the user's active heating behavior pattern in order to obtain inertial feature encoding; Cluster analysis is performed on the inertial feature encoding to determine the prototype of user temperature preference; Based on the user temperature preference prototype, the passenger cabin temperature preference data is obtained through an adaptive learning algorithm.

3. The battery and crew cabin heating control method based on WPTC according to claim 1, characterized in that, Based on the battery temperature change prediction data and the passenger cabin temperature preference data, passenger cabin heating signals and battery heating signals are obtained through temperature threshold monitoring, specifically including: A temperature threshold parameter is set, and a time delay is configured for the temperature threshold parameter to obtain the heating advance time; wherein, the heating advance time includes: the crew cabin heating advance time and the battery heating advance time; Based on the heating advance time, the battery temperature is monitored by the advance time of the battery temperature change prediction data to obtain the battery heating signal; Based on the heating advance time, the crew cabin temperature is monitored by the advance time of the crew cabin temperature preference data to obtain the crew cabin heating signal.

4. The battery and crew cabin heating control method based on WPTC according to claim 1, characterized in that, In the presence of only the crew compartment heating signal, the crew compartment heating mode is determined by controlling the first high-pressure heater, specifically including: Based on the passenger compartment heating signal, the vehicle controller is invoked to obtain the heating circuit water temperature; When the water temperature in the heating circuit is greater than or equal to the first temperature threshold, the water pump is run, the WPTC is not activated, and the three-way water valve is closed to determine the crew cabin heating mode. When the water temperature in the heating circuit is lower than the first temperature threshold, the water pump is run, the brainless WPTC is activated simultaneously, and the three-way water valve is closed to determine the crew cabin heating mode.

5. The battery and crew cabin heating control method based on WPTC according to claim 4, characterized in that, In the presence of only the battery heating signal, the battery heating mode is determined by controlling the second high-voltage heater, specifically including: Based on the battery heating signal, the vehicle controller is invoked to obtain the battery inlet water temperature; When the battery inlet water temperature is greater than or equal to the second temperature threshold, the battery circuit water pump is run, the water pump and the brainless WPTC are not activated, and the three-way water valve is opened to determine the battery heating mode. When the water temperature at the pool inlet is lower than the second temperature threshold, the battery circuit water pump is operated, the water pump and the brainless WPTC are activated simultaneously, and the three-way water valve is opened to determine the battery heating mode.

6. The battery and crew cabin heating control method based on WPTC according to claim 5, characterized in that, In the presence of both the crew compartment heating signal and the battery heating signal, a combined heating mode is determined via control of the third high-voltage heater, specifically including: Based on the passenger compartment heating signal and the battery heating signal, the vehicle controller is invoked to simultaneously activate the battery heating mode and the passenger compartment heating mode, and the overall heating mode is determined.

7. The battery and crew cabin heating control method based on WPTC according to claim 1, characterized in that, In the presence of both the crew cabin heating signal and the battery heating signal, after determining the integrated heating mode via control of the third high-voltage heater, the method further includes: Obtain the passenger satisfaction level of the integrated heating mode, and based on the passenger satisfaction level, obtain the temperature threshold update data by adjusting the temperature threshold.

8. A battery and crew cabin heating control device based on WPTC, characterized in that, The device includes: At least one processor; And, a memory communicatively connected to the at least one processor; The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enable the at least one processor to: The vehicle's external ambient temperature is acquired, and an LSTM prediction of the impact of the external ambient temperature on battery temperature is performed to determine the predicted data for battery temperature changes. The historical temperature of the passenger cabin is obtained, and a temperature preference analysis is performed on the historical temperature of the passenger cabin to obtain passenger cabin temperature preference data. 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. In the presence of only the crew cabin heating signal, the crew cabin heating mode is determined by controlling the first high-pressure heater; In the presence of only the battery heating signal, the battery heating mode is determined by controlling the second high-voltage heater; In the presence of both the crew cabin heating signal and the battery heating signal, a combined heating mode is determined by controlling the third high-voltage heater. LSTM prediction of the impact of the vehicle's external ambient temperature on battery temperature is performed to determine battery temperature change prediction data, specifically including: The ambient temperature outside the vehicle is preprocessed to obtain time-series ambient temperature data. Based on the ambient temperature time-series data, environmental impact parameters are determined through battery temperature influence analysis. The real-time battery temperature is obtained, and based on the environmental impact parameters and the real-time battery temperature, the predicted data of battery temperature change is determined by LSTM prediction.

9. A non-volatile computer storage medium for battery and crew cabin heating control based on WPTC, storing computer-executable instructions, characterized in that, The computer-executable instructions are set as follows: The vehicle's external ambient temperature is acquired, and an LSTM prediction of the impact of the external ambient temperature on battery temperature is performed to determine the predicted data for battery temperature changes. The historical temperature of the passenger cabin is obtained, and a temperature preference analysis is performed on the historical temperature of the passenger cabin to obtain passenger cabin temperature preference data. 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. In the presence of only the crew cabin heating signal, the crew cabin heating mode is determined by controlling the first high-pressure heater; In the presence of only the battery heating signal, the battery heating mode is determined by controlling the second high-voltage heater; In the presence of both the crew cabin heating signal and the battery heating signal, a combined heating mode is determined by controlling the third high-voltage heater. LSTM prediction of the impact of the vehicle's external ambient temperature on battery temperature is performed to determine battery temperature change prediction data, specifically including: The ambient temperature outside the vehicle is preprocessed to obtain time-series ambient temperature data. Based on the ambient temperature time-series data, environmental impact parameters are determined through battery temperature influence analysis. The real-time battery temperature is obtained, and based on the environmental impact parameters and the real-time battery temperature, the predicted data of battery temperature change is determined by LSTM prediction.

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