Vehicle energy management method and device, electronic equipment and storage medium
By obtaining the power consumption parameters of electrical equipment in the vehicle and user operation behavior data, combining prediction models and user portraits, and dynamically adjusting the energy classification strategy, the problem that traditional vehicle energy management systems cannot adapt to different vehicle models and user wishes is solved, and the user experience and energy utilization efficiency are improved.
Patent Information
- Application Number
- CN202510877830.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-27
- Publication Date
- 2025-09-09
AI Technical Summary
Traditional vehicle energy management systems are unable to adapt to different vehicle models and perform targeted management based on user wishes, affecting user experience.
By obtaining the power consumption parameters of the electrical equipment in the vehicle and the operating behavior data of the target user, and using the trained preset power consumption prediction model, the energy-grading energy-saving strategy is dynamically adjusted and optimized. Combined with the target user's profile and the remaining power of the vehicle, a matching graded energy-saving strategy is determined.
It realizes personalized energy management for different users and vehicle models, improves user experience, optimizes energy utilization efficiency, and reduces range anxiety.
Smart Images
Figure CN120606684A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of vehicle management technology, and in particular to a vehicle energy management method, device, electronic device and storage medium. Background Art
[0002] At present, with the development of society and the advancement of science and technology, more and more users are beginning to use new energy vehicles as their means of transportation. However, the energy management system of new energy vehicles has the problem of insufficient optimization.
[0003] However, traditional vehicle energy management needs to be implemented according to certain preset rules, and users themselves cannot participate. In addition, traditional energy management methods cannot adapt to different vehicle models, nor can they perform targeted management according to user wishes, affecting the user experience. Summary of the Invention
[0004] The embodiments of the present application provide a vehicle energy management method, device, electronic device and storage medium. The embodiments provided by the present application solve the technical problem that traditional energy management methods in the prior art cannot adapt to different vehicle models, cannot perform targeted management according to the user's wishes, and affect the user experience. The embodiments provided by the present application dynamically adjust and optimize the hierarchical energy-saving strategy of the energy of the electrical equipment in the vehicle through two parameters: the operating behavior data of the target user and the power consumption parameters of the electrical equipment in the vehicle. It can perform targeted energy management for different target users and can adapt to different types of target vehicles, thereby improving the experience of the target users.
[0005] In a first aspect of the embodiments of the present application, the embodiments of the present application provide a vehicle energy management method, the vehicle energy management method comprising:
[0006] Obtaining power consumption parameters of in-vehicle electrical devices and target user's operating behavior data on the target vehicle, wherein the operating behavior data is used to characterize the target user's operating habit data of the target vehicle;
[0007] Determining a target power consumption level of the in-vehicle electrical equipment corresponding to the target user based on the power consumption parameter, the operation behavior data, and a trained preset power consumption prediction model;
[0008] When the remaining power of the target vehicle is less than a preset remaining power threshold, a hierarchical energy-saving strategy matching the in-vehicle electrical equipment is determined based on the target power consumption level of the in-vehicle electrical equipment and the portrait of the target user.
[0009] In a feasible implementation manner, determining the target power consumption level of the in-vehicle electrical equipment corresponding to the target user based on the power consumption parameter, the operation behavior data, and a trained preset power consumption prediction model includes:
[0010] Inputting the power consumption parameters and the operation behavior data of the in-vehicle electrical equipment into the trained preset power consumption prediction model to predict power consumption and determine the predicted power consumption level of the in-vehicle electrical equipment;
[0011] Acquiring external environment data and road condition data of the target vehicle in the current driving state;
[0012] The predicted power consumption level, the external environment data and the road condition data are input into a trained large language prediction model to predict the power consumption of the target vehicle in the current driving state, and determine the target power consumption level of the electrical equipment in the vehicle.
[0013] In a feasible implementation manner, before the target power consumption level based on the in-vehicle electrical equipment and the target user's portrait, the method further includes:
[0014] Obtaining biometric information of the target user;
[0015] Based on the biometric information of the target user, a portrait of the target user that matches the biometric information is determined from the candidate user portrait library, wherein the candidate user portrait library contains portrait information of at least one candidate user.
[0016] In a feasible implementation, when the remaining power of the target vehicle is less than a preset remaining power threshold, determining a hierarchical energy-saving strategy that matches the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the profile of the target user includes:
[0017] When the remaining power of the target vehicle is less than a preset remaining power threshold, determining the power consumption priority of the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the profile of the target user;
[0018] Determining the extended cruising range of each of the in-vehicle electrical devices after shutting down based on the remaining cruising range data of the target vehicle;
[0019] Based on the respective endurance extension data and the power usage priority, a hierarchical energy-saving strategy matching the in-vehicle electrical equipment is determined.
[0020] In a feasible embodiment, when the remaining power of the target vehicle is less than a preset remaining power threshold, after determining a hierarchical energy-saving strategy matching the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the profile of the target user, the method further includes:
[0021] Obtaining an execution instruction of the target user after receiving feedback of the hierarchical energy-saving strategy;
[0022] Based on the execution instruction, it is determined whether the hierarchical energy-saving strategy needs to be updated.
[0023] In a feasible embodiment, when the remaining power of the target vehicle is less than a preset remaining power threshold, after determining a hierarchical energy-saving strategy matching the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the profile of the target user, the method further includes:
[0024] If the remaining power of the target vehicle is less than a preset emergency power threshold, the use of the electrical device with the highest power consumption in the hierarchical energy-saving strategy is forcibly restricted, and a prompt message is sent to the target user.
[0025] In a feasible implementation manner, determining the power consumption priority of the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the profile of the target user includes:
[0026] Determining a usage priority of the target user when using the in-vehicle electrical equipment based on the target user's historical electricity usage habits when using the target vehicle in the target user's profile;
[0027] Based on the usage priority and the target power consumption level of the in-vehicle electrical equipment, the power usage priority of the in-vehicle electrical equipment is determined.
[0028] According to a second aspect of the embodiments of the present application, an energy management device for a vehicle is provided. The energy management device for the vehicle includes:
[0029] A first acquisition module is used to acquire power consumption parameters of in-vehicle electrical devices and target user's operation behavior data on the target vehicle, wherein the operation behavior data is used to characterize the target user's behavior habit data of operating the target vehicle;
[0030] a first determining module, configured to determine a target power consumption level of the in-vehicle electrical device corresponding to the target user based on the power consumption parameter, the operation behavior data, and a trained preset power consumption prediction model;
[0031] The second determination module is used to determine a graded energy-saving strategy that matches the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the portrait of the target user when the remaining power of the target vehicle is less than a preset remaining power threshold.
[0032] In a third aspect of the embodiments of the present application, the embodiments of the present application provide an electronic device comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate through the bus, and the machine-readable instructions are executed by the processor to perform the steps of the vehicle energy management method as described above.
[0033] In a fourth aspect of an embodiment of the present application, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which executes the steps of the vehicle energy management method as described above when the computer program is executed by a processor.
[0034] The vehicle energy management method, device, electronic device and storage medium provided in the embodiments of the present application, compared with the existing technology, the embodiments provided by the present application determine the target power consumption level of the in-vehicle electrical equipment corresponding to the target user based on power consumption parameters, operating behavior data and a trained preset power consumption prediction model, and when the remaining power of the target vehicle is less than the preset remaining power threshold, determine the hierarchical energy-saving strategy matching the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the portrait of the target user. The present application dynamically adjusts and optimizes the hierarchical energy-saving strategy of the energy of the in-vehicle electrical equipment through two parameters: the operating behavior data of the target user and the power consumption parameters of the in-vehicle electrical equipment, thereby reducing the technical difficulty of insufficient dynamic optimization of the energy management of electrical equipment in different application scenarios. The present application can perform targeted energy management for different target users, and can adapt to different types of target vehicles, thereby improving the experience of the target users. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] Figure 1 A flowchart of a vehicle energy management method provided by an embodiment of the present application is shown;
[0036] Figure 2 A structural block diagram of an energy management device for a vehicle provided in an embodiment of the present application is shown;
[0037] Figure 3 A schematic structural diagram of an electronic device provided in an embodiment of the present application is shown.
[0038] Figure 2 and Figure 3 The corresponding relationship between the reference numerals and the names of the drawings is as follows:
[0039] 200 vehicle energy management device; 210 first acquisition module; 220 first determination module; 230 second determination module; 240 second acquisition module; 250 third determination module; 260 prompt module; 300 electronic device; 310 processor; 320 memory; 330 bus. DETAILED DESCRIPTION
[0040] In order to better understand the technical solutions provided by the embodiments of this specification, the technical solutions of the embodiments of this specification are described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of this specification and the specific features in the embodiments are detailed descriptions of the technical solutions of the embodiments of this specification, rather than limitations on the technical solutions of this specification. In the absence of conflict, the embodiments of this specification and the technical features in the embodiments can be combined with each other.
[0041] In this article, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or equipment. In the absence of further restrictions, the elements defined by the statement "comprising a ..." do not exclude the presence of other identical elements in the process, method, article or equipment comprising the elements. The term "two or more" includes two or more than two cases.
[0042] First, the applicable application scenarios of this application are introduced. The embodiments provided in this application are applicable to the field of vehicle management technology.
[0043] At present, the energy management of traditional vehicles needs to be implemented according to certain preset rules, and users themselves cannot participate. In addition, traditional energy management methods cannot adapt to different vehicle models, nor can they perform targeted management according to the user's wishes, which affects the user experience.
[0044] Based on this, the embodiments of the present application provide a vehicle energy management method, device, electronic device and storage medium. The embodiments provided by the present application solve the technical problem that the traditional energy management method in the prior art cannot adapt to different vehicle models, nor can it perform targeted management according to the user's wishes, affecting the user experience. The embodiments provided by the present application dynamically adjust and optimize the hierarchical energy-saving strategy of the energy of the electrical equipment in the vehicle through two parameters: the operating behavior data of the target user and the power consumption parameters of the electrical equipment in the vehicle. It can perform targeted energy management for different target users and can adapt to different types of target vehicles, thereby improving the experience of the target users.
[0045] Figure 1 This is a flowchart of a vehicle energy management method provided by an embodiment of the present application. Figure 1 As shown, the vehicle energy management method includes the following steps:
[0046] S101. Obtain power consumption parameters of in-vehicle electrical devices and target user's operating behavior data on a target vehicle, where the operating behavior data is used to characterize the target user's behavioral habit data for operating the target vehicle.
[0047] In this step, the vehicle energy management method provided in the embodiment provided by the present application is mainly applied to an energy management system, the hardware part of which is composed of a single-inductor multi-port converter controlled by a single-chip microcomputer (the single-inductor multi-port converter is a type of single-inductor multi-port converter disclosed on the market). In this application, the single-chip microcomputer receives power consumption parameters of in-vehicle electrical equipment collected by various sensors or in-vehicle electrical equipment, such as the power consumption parameters of air conditioners, etc., and while collecting the power consumption parameters of the user equipment, it also collects the target user's operating behavior data on the target vehicle.
[0048] Among them, the model of the single-chip microcomputer in the embodiment provided by this application can be customized and used according to different application scenarios and usage conditions. The model of the single-chip microcomputer in the embodiment provided by this application can be STM32.
[0049] It can be understood that the target user's operating behavior data on the target vehicle in the embodiments provided in this application refers to the target user's parameter operation on any electrical device on the target vehicle at the current moment, or the power demand.
[0050] Among them, the power consumption parameters of the air conditioner can be determined through the air conditioner power curve.
[0051] In the above, the target user in the embodiment provided by the present application can be the user in the main driving seat, or can be a user selected in any car with personal information such as identity information entered.
[0052] The power consumption parameters of the in-vehicle electrical equipment in the embodiments provided in this application can be collected through the vehicle-mounted CAN bus; and the target user's operating behavior data on the target vehicle can be collected through the vehicle-mounted human-computer interaction interface protocol.
[0053] In the embodiment provided in the present application, the frequency and time period distribution of manual start and stop operations of the user on the electrical equipment are recorded through the vehicle-mounted human-computer interaction interface.
[0054] S102 : Determine a target power consumption level of in-vehicle electrical equipment corresponding to a target user based on power consumption parameters, operation behavior data, and a trained preset power consumption prediction model.
[0055] In this step, after determining the power consumption parameters of each electrical device and the operating behavior data of the target user, the embodiment provided in this application will upload the above power consumption parameters, operating behavior data and other external environmental impact parameters detected by the in-vehicle sensors to the cloud, and the trained preset power consumption prediction model in the cloud will predict the above characteristics and determine the target power consumption level of the in-vehicle electrical equipment corresponding to the target user.
[0056] It can be understood that the selection of the cloud in the embodiments provided in this application can be customized and used according to different application scenarios and usage conditions. The cloud in the embodiments provided in this application can specifically be Alibaba Cloud Network.
[0057] Exemplarily, the power consumption parameters and operating behavior data of the electrical equipment in the vehicle are input into a trained preset power consumption prediction model to predict the power consumption and determine the predicted power consumption level of the electrical equipment in the vehicle; the external environment data and road condition data of the target vehicle in the current driving state are obtained; the predicted power consumption level, external environment data and road condition data are input into the trained large language prediction model to predict the power consumption of the target vehicle in the current driving state and determine the target power consumption level of the electrical equipment in the vehicle.
[0058] It should be noted that the embodiment provided in this application needs to first use the acquired power consumption parameters and operating behavior data of the in-vehicle electrical equipment as input data, and input them into the trained preset power consumption prediction model to preliminarily determine and output the predicted power consumption level of the electrical equipment. Then, the navigation data of the target vehicle in the external environmental data and road condition data, etc., are input into the trained large language prediction model again, and combined with the predicted power consumption level, the power consumption of the target vehicle in the current environment and user behavior habits are predicted again to determine the target power consumption level of the in-vehicle electrical equipment.
[0059] It can be understood that the embodiments provided in this application not only determine the power consumption level of the electrical equipment in the vehicle by simply fusing the power consumption behavior data of the target user and the power consumption parameters of the electrical equipment, but also combine the external environmental data and road condition data to more intelligently and specifically determine the target power consumption level of the electrical equipment in the vehicle.
[0060] Among them, the target power consumption level of the in-vehicle electrical equipment determined above is combined with the user behavior habits of the target user in the future period. This application can more accurately determine the target power consumption level of the in-vehicle electrical equipment, so as to facilitate the subsequent more accurate determination of the graded energy-saving strategy that matches the in-vehicle electrical equipment.
[0061] Exemplarily, before determining the target power consumption level of the electrical equipment in the vehicle and the portrait of the target user, the biometric information of the target user is obtained; based on the biometric information of the target user, a portrait of the target user that matches the biometric information is determined from a candidate user portrait library, wherein the candidate user portrait library contains portrait information of at least one candidate user.
[0062] It should be noted that, after determining the candidate user portrait library containing portrait information of at least one candidate user, the embodiment provided in this application needs to collect the biometric information corresponding to the target user on the target vehicle, and then determine the portrait of the target user based on the above biometric information.
[0063] It is understandable that the biometric information in the embodiments provided in this application may be customized and used according to different application scenarios. The biometric information in the embodiments provided in this application includes but is not limited to the target user's identity information, fingerprint information, and image information.
[0064] S103: When the remaining power of the target vehicle is less than a preset remaining power threshold, determine a hierarchical energy-saving strategy that matches the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the profile of the target user.
[0065] In this step, when it is determined that the remaining power of the target vehicle in the embodiment provided by this application is less than the preset remaining power threshold, it means that it is necessary to change or stop the power supply of some of the running electrical equipment in the vehicle, so as to extend the cruising range of the target vehicle and reduce the target user's range anxiety.
[0066] Changing or stopping the power supply mode of some running in-vehicle electrical equipment may be specifically a hierarchical energy-saving strategy that matches the in-vehicle electrical equipment.
[0067] Among them, the preset remaining power threshold in the embodiment provided by this application can be customized and used according to different application scenarios and usage conditions. The preset remaining power threshold in the embodiment provided by this application can be specifically determined to be 20%.
[0068] Exemplarily, when the remaining power of the target vehicle is less than a preset remaining power threshold, a hierarchical energy-saving strategy matching the in-vehicle electrical equipment is determined based on the target power consumption level of the in-vehicle electrical equipment and the profile of the target user, including:
[0069] When the remaining power of the target vehicle is less than the preset remaining power threshold, the power usage priority of the in-vehicle electrical equipment is determined based on the target power consumption level of the in-vehicle electrical equipment and the portrait of the target user; based on the remaining cruising range data of the target vehicle, the endurance extension data of each in-vehicle electrical equipment after being turned off is determined; based on each endurance extension data and power usage priority, a hierarchical energy-saving strategy matching the in-vehicle electrical equipment is determined.
[0070] It should be noted that when energy management needs to be activated, that is, when the remaining power of the target vehicle is less than the preset remaining power threshold, the power usage priority of the electrical equipment in the vehicle is first determined based on the target power consumption level and the portrait of the target user. Then, based on the navigation data of the target vehicle in the current navigation mode, the remaining cruising range data of the vehicle is determined. Based on the remaining cruising range data of the vehicle, the possible cruising range extension data of the target vehicle after each electrical equipment in the vehicle is turned off is calculated. Then, using the above-mentioned cruising range extension data and the power usage priority of the electrical equipment in the vehicle, a hierarchical energy-saving strategy that matches the electrical equipment in the vehicle is determined, and the hierarchical energy-saving suggestions expressed by the above-mentioned hierarchical energy-saving strategy are displayed through the on-board human-machine interface, such as "turning off the rear seat heating can extend the cruising range by 12km."
[0071] It's understandable that all electrical devices in the car need to be categorized and prioritized based on their importance and frequency of use. These can generally be divided into the following categories: High priority: safety-related and basic driver assistance systems such as anti-lock braking systems, vehicle stability control systems, and instrument cluster displays; Medium priority: comfort equipment such as air conditioning, heated seats, and audio systems; Low priority: ambient lighting and non-essential entertainment systems (such as rear passenger screens).
[0072] Among them, the trained preset electricity consumption prediction model in the embodiment provided by this application can be customized and used according to different application scenarios and usage conditions. The trained preset electricity consumption prediction model in the embodiment provided by this application can be specifically a neural network model long short-term memory network (Long Short-Term Memory, LSTM).
[0073] Exemplarily, based on the target power consumption level of the in-vehicle electrical equipment and the portrait of the target user, the power usage priority of the in-vehicle electrical equipment is determined: based on the historical power usage habits of the target user when using the target vehicle in the portrait of the target user, the usage priority of the target user when using the in-vehicle electrical equipment is determined; based on the usage priority and the target power consumption level of the in-vehicle electrical equipment, the power usage priority of the in-vehicle electrical equipment is determined.
[0074] It should be noted that the embodiment provided in this application uses two priorities (one is the usage priority of the target user when using the target vehicle based on the historical power usage habits of the target user, and the other is to determine the target power consumption level of the in-vehicle electrical equipment) to jointly determine the power usage priority of the in-vehicle electrical equipment. For example, by setting different permissions, the weight of the user's usage priority is set to 0.2; and the weight of the target power consumption level of the in-vehicle electrical equipment is set to 0.8.
[0075] It can be understood that in the embodiments provided by this application, for certain electrical equipment with low demand, it is not necessary to take them into consideration either in determining the power usage priority of the electrical equipment in the vehicle or in determining the usage priority of the user. The hierarchical energy-saving strategy that needs to be generated will directly shut down the above-mentioned electrical equipment with low demand.
[0076] For example, the embodiments provided in this application may also:
[0077] Obtaining an execution instruction of the target user after receiving feedback on the hierarchical energy-saving strategy; and determining whether the hierarchical energy-saving strategy needs to be updated based on the execution instruction.
[0078] It is understandable that after the target user receives the hierarchical energy-saving strategy, the target user can choose whether to execute it according to the corresponding hierarchical energy-saving strategy. If the target user chooses to execute it according to the corresponding hierarchical energy-saving strategy, there is no need to update the hierarchical energy-saving strategy; if the target user has his own electricity demand under the current driving state, the above-mentioned hierarchical energy-saving strategy is updated according to the target user's electricity demand, thereby improving the user experience and realizing a hierarchical energy-saving strategy based on human-machine co-control for the target vehicle.
[0079] For example, if the remaining power of the target vehicle is less than a preset emergency power threshold, the use of the highest power-consuming electrical equipment in the hierarchical energy-saving strategy is forcibly restricted, and a prompt message is sent to the target user.
[0080] It should be noted that when it is determined that the remaining power of the target vehicle is less than the preset emergency power threshold of the limit requirement, the microcontroller controller will forcibly limit the use of the electrical equipment with the highest power consumption in the hierarchical energy-saving strategy and prompt the target user to improve the target user's acceptance.
[0081] The vehicle energy management method provided in the embodiments of the present application, compared with the existing technology, the embodiments provided in the present application determine the target power consumption level of the in-vehicle electrical equipment corresponding to the target user based on power consumption parameters, operating behavior data and a trained preset power consumption prediction model, and when the remaining power of the target vehicle is less than the preset remaining power threshold, determine the hierarchical energy-saving strategy matching the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the portrait of the target user. The present application dynamically adjusts and optimizes the hierarchical energy-saving strategy of the energy of the in-vehicle electrical equipment through two parameters: the operating behavior data of the target user and the power consumption parameters of the in-vehicle electrical equipment, thereby reducing the technical difficulty of insufficient dynamic optimization of the energy management of electrical equipment in different application scenarios. The present application can perform targeted energy management for different target users, and can adapt to different types of target vehicles, thereby improving the experience of the target users.
[0082] Figure 2 This is a structural block diagram of a vehicle energy management device provided by an embodiment of the present application. Figure 2 As shown, the vehicle energy management device 200 includes:
[0083] The first acquisition module 210 is used to acquire power consumption parameters of in-vehicle electrical devices and target user's operation behavior data on the target vehicle, where the operation behavior data is used to represent the target user's behavior habit data for operating the target vehicle.
[0084] The first determination module 220 is configured to determine a target power consumption level of the in-vehicle electrical equipment corresponding to the target user based on the power consumption parameters, the operation behavior data, and the trained preset power consumption prediction model.
[0085] The second determination module 230 is used to determine a hierarchical energy-saving strategy that matches the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the profile of the target user when the remaining power of the target vehicle is less than a preset remaining power threshold.
[0086] The second acquisition module 240 is configured to acquire an execution instruction of the target user after receiving feedback on the hierarchical energy-saving strategy.
[0087] The third determining module 250 is configured to determine whether the hierarchical energy-saving strategy needs to be updated based on the execution instruction.
[0088] The prompt module 260 is used to forcibly restrict the use of the electrical equipment with the highest power consumption in the hierarchical energy-saving strategy if the remaining power of the target vehicle is less than a preset emergency power threshold, and send a prompt message to the target user.
[0089] Exemplarily, the first determining module 220 is specifically configured to:
[0090] The power consumption parameters and operating behavior data of the in-vehicle electrical equipment are input into the trained preset power consumption prediction model to predict the power consumption and determine the predicted power consumption level of the in-vehicle electrical equipment.
[0091] Obtain the external environment data and road condition data of the target vehicle in its current driving state.
[0092] The predicted power consumption level, external environment data, and road condition data are input into the trained large language prediction model to predict the power consumption of the target vehicle under the current driving state and determine the target power consumption level of the electrical equipment in the vehicle.
[0093] For example, the target user profile is determined in the following ways:
[0094] Obtain biometric information of the target user;
[0095] Based on the biometric information of the target user, a portrait of the target user that matches the biometric information is determined from a candidate user portrait library, wherein the candidate user portrait library contains portrait information of at least one candidate user.
[0096] Exemplarily, the second determining module 230 is specifically configured to:
[0097] When the remaining power of the target vehicle is less than a preset remaining power threshold, the power usage priority of the in-vehicle electrical equipment is determined based on the target power consumption level of the in-vehicle electrical equipment and the profile of the target user.
[0098] Based on the remaining cruising range data of the target vehicle, determine the cruising range extension data after each electrical device in the vehicle is turned off.
[0099] Based on the various range extension data and power usage priorities, a hierarchical energy-saving strategy is determined to match the electrical equipment in the vehicle.
[0100] Exemplarily, determining the power consumption priority of the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the profile of the target user includes:
[0101] Determine the target user's usage priority for in-vehicle electrical devices based on the target user's historical electricity usage habits when using the target vehicle in the target user's profile;
[0102] The power usage priority of the in-vehicle electrical devices is determined based on the usage priority and the target power consumption level of the in-vehicle electrical devices.
[0103] The vehicle energy management device 200 provided in the embodiment of the present application, compared with the existing technology, determines the target power consumption level of the in-vehicle electrical equipment corresponding to the target user based on power consumption parameters, operating behavior data and a trained preset power consumption prediction model, and when the remaining power of the target vehicle is less than the preset remaining power threshold, determines the hierarchical energy-saving strategy matching the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the portrait of the target user. The present application dynamically adjusts and optimizes the hierarchical energy-saving strategy of the energy of the in-vehicle electrical equipment through two parameters: the operating behavior data of the target user and the power consumption parameters of the in-vehicle electrical equipment, thereby reducing the technical difficulty of insufficient dynamic optimization of the energy management of electrical equipment in different application scenarios. The present application can perform targeted energy management for different target users, and can adapt to different types of target vehicles, thereby improving the experience of the target users.
[0104] See also Figure 3 , Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the electronic device 300 includes a processor 310 , a memory 320 , and a bus 330 .
[0105] The memory 320 stores machine-readable instructions executable by the processor 310. When the electronic device 300 is running, the processor 310 communicates with the memory 320 via the bus 330. When the machine-readable instructions are executed by the processor 310, the above-mentioned Figure 1 The specific implementation of the steps of the vehicle energy management method in the method embodiment shown can be found in the method embodiment and will not be repeated here.
[0106] The embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the computer program can execute the above-mentioned Figure 1 The specific implementation of the steps of the vehicle energy management method in the method embodiment shown can be found in the method embodiment and will not be repeated here.
[0107] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0108] It should be noted that, in the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.
[0109] 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-readable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-readable program code.
[0110] 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 computer, 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 processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0111] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.
[0112] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.
[0113] An embodiment of the present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device executes the process of the vehicle energy management method.
[0114] A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)).
[0115] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0116] In the several embodiments provided in this application, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.
[0117] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.
[0118] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.
[0119] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.
[0120] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.
[0121] Although the preferred embodiments of this specification have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concepts. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of this specification.
[0122] Obviously, those skilled in the art may make various changes and modifications to this specification without departing from the spirit and scope of this specification. Thus, if such changes and modifications fall within the scope of the claims of this specification and their equivalents, this specification is intended to include such changes and modifications.
Claims
1. A vehicle energy management method, characterized in that: The vehicle energy management method comprises: Obtaining power consumption parameters of in-vehicle electrical devices and target user's operating behavior data on the target vehicle, wherein the operating behavior data is used to characterize the target user's operating habit data of the target vehicle; Determining a target power consumption level of the in-vehicle electrical equipment corresponding to the target user based on the power consumption parameter, the operation behavior data, and a trained preset power consumption prediction model; When the remaining power of the target vehicle is less than a preset remaining power threshold, a hierarchical energy-saving strategy matching the in-vehicle electrical equipment is determined based on the target power consumption level of the in-vehicle electrical equipment and the portrait of the target user.
2. The vehicle energy management method according to claim 1, characterized in that: The determining, based on the power consumption parameter, the operation behavior data, and the trained preset power consumption prediction model, a target power consumption level of the in-vehicle electrical device corresponding to the target user includes: Inputting the power consumption parameters and the operation behavior data of the in-vehicle electrical equipment into the trained preset power consumption prediction model to predict power consumption and determine the predicted power consumption level of the in-vehicle electrical equipment; Acquiring external environment data and road condition data of the target vehicle in the current driving state; The predicted power consumption level, the external environment data and the road condition data are input into a trained large language prediction model to predict the power consumption of the target vehicle in the current driving state, and determine the target power consumption level of the electrical equipment in the vehicle.
3. The vehicle energy management method according to claim 1, characterized in that: Before the target power consumption level based on the in-vehicle electrical equipment and the target user's portrait, the method further includes: Obtaining biometric information of the target user; Based on the biometric information of the target user, a portrait of the target user that matches the biometric information is determined from the candidate user portrait library, wherein the candidate user portrait library contains portrait information of at least one candidate user.
4. The vehicle energy management method according to claim 2, characterized in that: When the remaining power of the target vehicle is less than a preset remaining power threshold, determining a hierarchical energy-saving strategy that matches the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the profile of the target user includes: When the remaining power of the target vehicle is less than a preset remaining power threshold, determining the power consumption priority of the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the profile of the target user; Determining the extended cruising range of each of the in-vehicle electrical devices after shutting down based on the remaining cruising range data of the target vehicle; Based on the respective endurance extension data and the power usage priority, a hierarchical energy-saving strategy matching the in-vehicle electrical equipment is determined.
5. The vehicle energy management method according to claim 1, characterized in that: When the remaining power of the target vehicle is less than a preset remaining power threshold, after determining a hierarchical energy-saving strategy matching the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the profile of the target user, the method further includes: Obtaining an execution instruction of the target user after receiving feedback of the hierarchical energy-saving strategy; Based on the execution instruction, it is determined whether the hierarchical energy-saving strategy needs to be updated.
6. The vehicle energy management method according to claim 1, characterized in that: When the remaining power of the target vehicle is less than a preset remaining power threshold, after determining a hierarchical energy-saving strategy matching the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the profile of the target user, the method further includes: If the remaining power of the target vehicle is less than a preset emergency power threshold, the use of the electrical device with the highest power consumption in the hierarchical energy-saving strategy is forcibly restricted, and a prompt message is sent to the target user.
7. The vehicle energy management method according to claim 4, characterized in that: The determining the power consumption priority of the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the profile of the target user includes: Determining a usage priority of the target user when using the in-vehicle electrical equipment based on the target user's historical electricity usage habits when using the target vehicle in the target user's profile; The power usage priority of the in-vehicle electrical device is determined based on the usage priority and the target power consumption level of the in-vehicle electrical device. After updating the hierarchical energy-saving strategy, determining actual energy consumption data of the target vehicle after executing the updated hierarchical energy-saving strategy and corresponding predicted extended cruising range after executing the updated hierarchical energy-saving strategy; Performing a deviation analysis on the actual energy consumption data and the predicted extended cruising range to determine a deviation result; Based on the deviation result, it is determined whether to perform parameter optimization on the preset power consumption prediction model.
8. A vehicle energy management device, characterized in that: The energy management device of the vehicle comprises: A first acquisition module is used to acquire power consumption parameters of in-vehicle electrical devices and target user's operation behavior data on the target vehicle, wherein the operation behavior data is used to characterize the target user's behavior habit data of operating the target vehicle; a first determining module, configured to determine a target power consumption level of the in-vehicle electrical device corresponding to the target user based on the power consumption parameter, the operation behavior data, and a trained preset power consumption prediction model; The second determination module is used to determine a hierarchical energy-saving strategy that matches the in-vehicle electrical equipment based on the target power consumption level of the in-vehicle electrical equipment and the portrait of the target user when the remaining power of the target vehicle is less than a preset remaining power threshold.
9. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor and the memory communicate via the bus, and the machine-readable instructions are executed by the processor to execute the steps of the vehicle energy management method as described in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the vehicle energy management method according to any one of claims 1 to 7 are executed.