Vehicle energy management method and device, vehicle and storage medium

Abstract

The invention relates to an energy management method and device for a vehicle, the vehicle and a storage medium, and the method comprises the steps: detecting a first historical driving mileage of the vehicle, entering an energy management mode under the condition that the first historical driving mileage is greater than a preset mileage, and obtaining historical operation parameters of the vehicle; determining a driving habit type of the user based on the first historical operation parameter, and determining a performance demand of the vehicle based on the driving habit type; and generating an energy management strategy of the vehicle according to the performance demand, and controlling the vehicle to execute the energy management strategy. Therefore, the technical problem that the actual driving experience of the user is affected due to the fact that different performance requirements of the user on the vehicle under different driving habits cannot be met at the same time in the related technology is solved.

Description

Technical Field

[0001] The present application relates to the general field of vehicle technology, and in particular to a vehicle energy management method, device, vehicle and storage medium. Background Art

[0002] Driven by both policies and markets, hybrid vehicles are gradually gaining market share, giving rise to a series of research methods for energy management strategies, most of which are mainly aimed at reducing energy consumption. However, as a consumer product, cars not only meet the needs of transportation, but also reflect people's pursuit of a higher quality of life. Studies have shown that consumers with different driving habits have different demands and tolerances for various vehicle performance. For example, users with "gentle" driving habits tend to pay more attention to the quietness, comfort and fuel-saving performance of the vehicle, while users with "aggressive" driving habits pay more attention to the dynamic response performance of the vehicle. Since the engine generally has low fuel thermal efficiency in the lower speed and larger torque area, energy management strategies that focus on low energy consumption often sacrifice NVH (Noise, Vibration, Harshness) and power conservation capabilities, and cannot simultaneously meet the different performance requirements of users with different driving habits for vehicles.

[0003] In the related art, the research method of hybrid vehicle energy management strategy taking into account user driving habits is still limited to predicting future operating condition data according to driving habits and navigation information, optimizing the energy management strategy based on the predicted operating condition data, and thus effectively reducing actual energy consumption.

[0004] However, because the engine generally has low fuel thermal efficiency in the lower speed and larger torque areas, energy management strategies that focus on low energy consumption often sacrifice NVH and power conservation capabilities. Related technologies cannot simultaneously meet the different performance requirements of users for vehicles under different driving habits, which in turn affects the user's actual driving experience and needs to be improved. Summary of the invention

[0005] The present application provides a vehicle energy management method, device, vehicle and storage medium to solve the technical problem in the related art that different performance requirements of users for the vehicle under different driving habits cannot be met at the same time, thereby affecting the actual driving experience of the users.

[0006] A first aspect of the present application provides an energy management method for a vehicle, comprising the following steps: detecting a first historical mileage of the vehicle, and when the first historical mileage is greater than a preset mileage, entering an energy management mode and acquiring first historical operating parameters of the vehicle; determining a user's driving habit type based on the first historical operating parameters, and determining performance requirements of the vehicle based on the driving habit type; generating an energy management strategy for the vehicle according to the performance requirements, and controlling the vehicle to execute the energy management strategy.

[0007] According to the above-mentioned technical means, the embodiment of the present application can control the vehicle to enter the energy management mode after the vehicle has traveled a certain mileage, so that the collected historical operating parameters can characterize the user's driving habit type, and then determine the performance requirements of the vehicle, so that the energy management strategy can fit the performance requirements of different users.

[0008] Optionally, in one embodiment of the present application, generating the energy management strategy of the vehicle according to the performance requirement and controlling the vehicle to execute the energy management strategy include: determining whether the vehicle is in navigation mode; if the vehicle is in the navigation mode, predicting the future operating condition data of the vehicle in combination with the first historical operating parameters and the navigation data of the vehicle; generating the energy management strategy according to the future operating condition data, the performance requirement and the first vehicle parameter of the vehicle, and executing the energy management strategy.

[0009] According to the above-mentioned technical means, the embodiment of the present application can determine the corresponding energy management strategy when the vehicle is in navigation mode, combining future operating condition data, performance requirements and vehicle parameters, so that the energy management strategy can meet both user needs and travel requirements.

[0010] Optionally, in one embodiment of the present application, generating the energy management strategy based on the future operating condition data, the performance requirement and the first vehicle parameter of the vehicle includes: determining a weight factor for each driving performance of the vehicle based on the performance requirement, so as to generate the energy management strategy based on the weight factor.

[0011] According to the above technical means, the embodiment of the present application can determine the weight factor of each driving performance according to the performance requirements, and then comprehensively consider the energy management strategy instead of just considering a single performance, so that the energy management strategy is more practical.

[0012] Optionally, in one embodiment of the present application, after executing the energy management strategy, it also includes: predicting the future operating condition data of the vehicle at every preset mileage by combining the second historical operating parameters of the vehicle and the navigation data of the vehicle; generating a new energy management strategy based on the future operating condition data, the performance requirements and the second vehicle parameters of the vehicle, and ending the energy management strategy, executing the new energy management strategy until exiting the navigation mode.

[0013] According to the above technical means, the embodiment of the present application can update the energy management strategy every certain mileage during the subsequent driving process, so that the energy management strategy always meets the user's needs.

[0014] Optionally, in one embodiment of the present application, the energy management strategy of the vehicle is generated according to the performance requirement, and the vehicle is controlled to execute the energy management strategy, including: if the vehicle is not in the navigation mode, matching the corresponding energy management strategy in a preset energy management mode database based on the performance requirement; executing the energy management strategy until the second historical mileage of the vehicle reaches the preset mileage to generate a new performance requirement.

[0015] According to the above technical means, the embodiment of the present application can match the built-in energy management strategy when the vehicle is not in the navigation mode to achieve the update of the energy management strategy.

[0016] The second aspect of the present application provides an energy management device for a vehicle, including: an acquisition module, used to detect a first historical mileage of the vehicle, and when the first historical mileage is greater than a preset mileage, enter an energy management mode and acquire a first historical operating parameter of the vehicle; a determination module, used to determine a user's driving habit type based on the first historical operating parameter, and determine the performance requirements of the vehicle based on the driving habit type; a control module, used to generate an energy management strategy for the vehicle according to the performance requirements, and control the vehicle to execute the energy management strategy.

[0017] Optionally, in one embodiment of the present application, the control module includes: a judgment unit, used to judge whether the vehicle is in navigation mode; a first prediction unit, used to predict the future operating condition data of the vehicle in combination with the first historical operating parameters and the navigation data of the vehicle when the vehicle is in the navigation mode; a first generation unit, used to generate the energy management strategy based on the future operating condition data, the performance requirements and the vehicle parameters of the vehicle, and execute the energy management strategy.

[0018] Optionally, in one embodiment of the present application, the generating unit includes: a generating subunit, configured to determine a weight factor of each driving performance of the vehicle based on the performance requirement, so as to generate the energy management strategy based on the weight factor.

[0019] Optionally, in one embodiment of the present application, the control module also includes: a second prediction unit, used to predict the future operating condition data of the vehicle at preset mileage intervals based on the second historical operating parameters of the vehicle and the navigation data of the vehicle; a second generation unit, used to generate a new energy management strategy based on the future operating condition data, the performance requirements and the second vehicle parameters of the vehicle, and end the energy management strategy and execute the new energy management strategy until exiting the navigation mode.

[0020] Optionally, in one embodiment of the present application, the control module includes: a matching unit, used to match the corresponding energy management strategy in a preset energy management mode database based on the performance requirement when the vehicle is not in the navigation mode; a control unit, used to execute the energy management strategy until the second historical mileage of the vehicle reaches the preset mileage to generate new performance requirements.

[0021] A third aspect of the present application provides a vehicle, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the vehicle energy management method as described in the above embodiment.

[0022] A fourth aspect of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the vehicle energy management method as described in the above embodiments.

[0023] The fifth aspect of the present application provides a computer program product, including a computer program, which, when executed, is used to implement the above-mentioned vehicle energy management method.

[0024] The embodiment of the present application can enter the energy management mode after the vehicle has traveled a certain mileage, and then determine the user's driving habit type through the historical operating parameters in the mileage traveled, and then determine the performance requirements of the vehicle. The vehicle can generate a corresponding energy management strategy based on the performance requirements and apply it to the subsequent mileage of the vehicle, so that the vehicle's energy management strategy is not only based on mileage, maximum endurance and other standards, but can be more in line with user needs, thereby improving the driving experience of different users. In this way, the technical problem in the related technology that it is impossible to simultaneously meet the different performance requirements of users for vehicles under different driving habits, thereby affecting the actual driving experience of users, is solved.

[0025] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0027] Figure 1 A flowchart of a vehicle energy management method provided according to an embodiment of the present application;

[0028] Figure 2 is a flow chart of a vehicle energy management method according to an embodiment of the present application;

[0029] Figure 3 A schematic diagram of the structure of an energy management device for a vehicle provided according to an embodiment of the present application;

[0030] Figure 4 It is a schematic diagram of the structure of a vehicle provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0031] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0032] The energy management method, device, vehicle and storage medium of the vehicle of the embodiment of the present application are described below with reference to the accompanying drawings. In view of the technical problem that the related technologies mentioned in the above background technology cannot simultaneously meet the different performance requirements of users for vehicles under different driving habits, thereby affecting the actual driving experience of users, the present application provides a vehicle energy management method, in which after the vehicle has traveled a certain mileage, it enters the energy management mode, and then determines the user's driving habit type through the historical operating parameters in the mileage traveled, and then determines the performance requirements of the vehicle. The vehicle can generate a corresponding energy management strategy based on the performance requirements and apply it to the subsequent mileage of the vehicle, so that the energy management strategy of the vehicle is not only simply formulated based on standards such as mileage and maximum endurance, but can be more in line with user needs, thereby improving the driving experience of different users. As a result, the technical problem that the related technologies cannot simultaneously meet the different performance requirements of users for vehicles under different driving habits, thereby affecting the actual driving experience of users, is solved.

[0033] Specifically, Figure 1 A schematic flow chart of a vehicle energy management method provided in an embodiment of the present application.

[0034] like Figure 1 As shown, the vehicle energy management method includes the following steps:

[0035] In step S101, a first historical mileage of the vehicle is detected, and when the first historical mileage is greater than a preset mileage, an energy management mode is entered to obtain a first historical operating parameter of the vehicle.

[0036] It is understandable that the historical operating parameters of the vehicle cannot be obtained when the vehicle is driven for the first time. Therefore, the embodiment of the present application can start recording the vehicle's mileage when the vehicle is driven for the first time, until the vehicle's first historical mileage reaches a certain mileage. The embodiment of the present application can consider that the historical operating parameters generated in this historical mileage are sufficient to provide data support for the subsequent generation of energy management strategies, thereby controlling the vehicle to enter the energy management mode and obtaining the first historical operating parameters generated in this historical mileage, i.e., the first historical mileage.

[0037] The first historical operating parameter may include the vehicle speed, vehicle longitudinal acceleration, throttle opening, brake pedal depth, cumulative mileage since the last energy management strategy adjustment, etc. in the first historical mileage.

[0038] The preset mileage may be set by those skilled in the art according to actual conditions and is not specifically limited here.

[0039] In step S102 , the user's driving habit type is determined based on the first historical operating parameter, and the performance requirement of the vehicle is determined based on the driving habit type.

[0040] As a possible implementation method, the embodiment of the present application can determine the user's driving habit type based on historical operating parameters, such as from parameters such as vehicle speed, vehicle longitudinal acceleration, throttle opening, brake pedal depth, etc., to determine the user's driving habits as speed-oriented driving habits, cautious driving habits, and energy-saving driving habits.

[0041] For example, the embodiments of the present application can analyze the absolute value of the vehicle speed, the absolute value and change rate of the longitudinal acceleration, the throttle opening size and change rate, the brake pedal depth and change rate, and select the corresponding type from the vehicle's built-in driving habit classification.

[0042] For example, when the absolute value of the vehicle speed is large, the absolute value of the longitudinal acceleration is large and the change rate is large, and the throttle opening size and change rate are large, the driving habit type may be a habit type that prioritizes power; when the longitudinal acceleration change rate is small and the change rate of the throttle opening is small, the driving habit type may be a habit type that prioritizes comfort, etc.

[0043] The embodiments of the present application can determine corresponding performance requirements, such as NVH performance requirements, power conservation performance requirements, fuel economy performance requirements, etc., based on the mapping relationship between the vehicle's built-in driving habits and performance requirements. For example, the performance requirements mapped to a driving habit type that prioritizes comfort may be NVH performance requirements, etc.

[0044] Step S103: Generate an energy management strategy for the vehicle according to performance requirements, and control the vehicle to execute the energy management strategy.

[0045] Furthermore, the embodiments of the present application can determine the energy management strategy of the vehicle according to performance requirements, thereby controlling the vehicle to use the corresponding energy management strategy in the next driving mileage, so that the actual driving experience of the vehicle can meet the needs of the user.

[0046] For example, if the performance requirement is an NVH performance requirement, the energy management strategy may be to adjust the mapping between pedal amplitude and power when the user presses the accelerator pedal to reduce the power supply at the same amplitude.

[0047] Optionally, in one embodiment of the present application, an energy management strategy for the vehicle is generated based on performance requirements, and the vehicle is controlled to execute the energy management strategy, including: determining whether the vehicle is in navigation mode; if the vehicle is in navigation mode, predicting the future operating condition data of the vehicle based on a first historical operating parameter and the vehicle's navigation data; generating an energy management strategy based on the future operating condition data, performance requirements and a first vehicle parameter of the vehicle, and executing the energy management strategy.

[0048] During actual implementation, the embodiments of the present application may generate different energy management strategies depending on whether the vehicle is in navigation mode.

[0049] In some embodiments, if the vehicle is in navigation mode, the embodiments of the present application can combine the first historical operating parameters and the vehicle's navigation data to predict the vehicle's future operating condition data to determine future energy consumption, and then combine the future operating condition data, performance requirements and the vehicle's first vehicle parameters to generate a new energy management strategy, so that the new energy management strategy is more in line with user needs and road driving requirements, and execute the new energy management strategy until the end of this navigation route.

[0050] Optionally, in one embodiment of the present application, an energy management strategy is generated based on future operating condition data, performance requirements and a first vehicle parameter of the vehicle, including: determining a weight factor for each driving performance of the vehicle based on the performance requirements to generate an energy management strategy based on the weight factor.

[0051] During the actual implementation process, the embodiments of the present application can determine the mass factors of various performances according to performance requirements, such as the weight factors of NVH performance, power conservation performance, and fuel economy performance, save the results of the weight factors of each performance, and determine the energy management strategy based on the weight factors of each performance.

[0052] The embodiment of the present application can correct the single-step cost function in the global optimal algorithm (such as the dynamic programming algorithm) based on the driving habit characteristic parameters, the future driving condition data predicted based on the navigation information, and the results of each performance weight factor to obtain the energy management control strategy based on the predicted future driving condition. Among them, taking fuel economy, power conservation performance and NVH performance as examples, the single-step cost function is as follows:

[0053] L k (x(k),u(k))=α*L fuel (k)+β*L SOC (k)+γ*L speed (k)

[0054] Among them, α, β, and γ correspond to the weight factors of fuel economy, power conservation performance, and NVH performance, respectively. fuel (k) is the fuel consumption of stage k, L SOC (k) is the penalty function for the power battery SOC, L speed (k) is the penalty function related to engine speed.

[0055] Optionally, in one embodiment of the present application, after executing the energy management strategy, it also includes: predicting the vehicle's future operating condition data at every preset mileage based on the vehicle's second historical operating parameters and the vehicle's navigation data; generating a new energy management strategy based on the future operating condition data, performance requirements and the vehicle's second vehicle parameters, and ending the energy management strategy and executing the new energy management strategy until exiting the navigation mode.

[0056] It is understandable that users' driving habits are not static. In order to adapt to changes in users' driving habits and to ensure that sufficient data is accumulated for the generation of each energy management strategy, the embodiment of the present application can generate a new round of energy management strategies at certain mileage intervals based on the second historical operating parameters of the vehicle generated within this mileage.

[0057] The embodiment of the present application can combine the second historical operating parameters and navigation data to predict the future operating condition of the vehicle, and then generate a new energy management strategy in combination with the future operating condition data, new performance requirements and the second vehicle parameters of the vehicle within this mileage, and use the new energy management strategy to replace the old energy management strategy until the navigation mode is exited, or the vehicle accumulates a certain mileage again during driving, so that the vehicle's energy management strategy can always meet the user's driving habits.

[0058] Optionally, in one embodiment of the present application, an energy management strategy for the vehicle is generated based on performance requirements, and the vehicle is controlled to execute the energy management strategy, including: if the vehicle is not in navigation mode, matching the corresponding energy management strategy in a preset energy management mode database based on performance requirements; executing the energy management strategy until the vehicle's second historical mileage reaches a preset mileage to generate new performance requirements.

[0059] In other embodiments,

[0060] When the vehicle is not in navigation mode, the embodiment of the present application can select an appropriate built-in energy management strategy based on the performance weight results and execute the built-in energy management strategy until the vehicle's cumulative mileage reaches a certain mileage, and then replace it with a new energy management strategy.

[0061] The energy management mode database may be configured accordingly by those skilled in the art according to actual conditions, and may store a mapping relationship between new energy demands and built-in energy management strategies.

[0062] Combination Figure 2 As shown, the working principle of the vehicle energy management method of the embodiment of the present application is described in detail with an embodiment.

[0063] like Figure 2 As shown, the embodiment of the present application may include the following steps:

[0064] Step S201: Obtain historical vehicle operating parameters.

[0065] The historical operating parameters may include: vehicle speed in the previous stage, vehicle longitudinal acceleration, throttle opening, brake pedal depth, cumulative mileage since the last energy management strategy adjustment, etc.

[0066] Step S202: After a certain accumulated mileage, such as 50 km, the user's driving habits are analyzed based on historical vehicle speed, longitudinal acceleration, throttle, brake and other signals, and an appropriate driving habit type is selected from the built-in categories.

[0067] When the cumulative mileage since the last energy management strategy adjustment reaches a certain threshold, the embodiment of the present application can start adjusting the energy management strategy. The absolute value of the vehicle speed, the absolute value and change rate of the longitudinal acceleration, the throttle opening and change rate, the brake pedal depth and change rate are analyzed, and the corresponding type is selected in the vehicle's built-in driving habit classification.

[0068] Step S203: Analyze vehicle performance requirements based on the user's driving habits and assign weight factors to various performance items.

[0069] The embodiment of the present application can classify driving habits and give weight factors for NVH, power conservation, and fuel economy performance according to the mapping relationship between driving habits and performance requirements built into the vehicle.

[0070] Step S204: Select an adjustment method for the energy management strategy according to whether the current mode is navigation mode.

[0071] If the vehicle is currently in navigation mode, the future operating data is predicted based on the driving habit data. Based on the predicted future operating data and the weight factors of each performance, the vehicle parameters and related dynamic parameters built into the vehicle are combined to perform global optimization calculations and generate a new energy management strategy.

[0072] If the vehicle is not in navigation mode, one of the multiple energy management strategies built into the vehicle will be selected based on the weight distribution of each performance.

[0073] Step S205: Execute the energy management strategy until the navigation ends or the accumulated mileage reaches a threshold requirement, such as 50 km as mentioned above.

[0074] In summary, the embodiment of the present application introduces the concepts of driving habits and vehicle performance requirements in the adjustment of the hybrid vehicle energy management strategy; the user's driving habits are obtained through the analysis of historical operating data, and the user's vehicle performance requirements are derived based on different driving habits. The energy management strategy is optimized and adjusted according to different performance requirements, which can ultimately improve the user's vehicle experience.

[0075] According to the vehicle energy management method proposed in the embodiment of the present application, after the vehicle has traveled a certain mileage, it enters the energy management mode, and then determines the user's driving habit type through the historical operating parameters in the mileage, and then determines the vehicle's performance requirements. The vehicle can generate a corresponding energy management strategy based on the performance requirements and apply it to the subsequent mileage of the vehicle, so that the vehicle's energy management strategy is not only based on mileage, maximum endurance and other standards, but can be more in line with user needs, thereby improving the driving experience of different users. In this way, the technical problem in the related technology that it is impossible to simultaneously meet the different performance requirements of users for vehicles under different driving habits, thereby affecting the actual driving experience of users, is solved.

[0076] Next, the energy management device for a vehicle according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0077] Figure 3 It is a block diagram of the energy management device of a vehicle according to an embodiment of the present application.

[0078] like Figure 3 As shown, the energy management device 10 of the vehicle includes: a first acquisition module 100 , a first determination module 200 and a control module 300 .

[0079] Specifically, the acquisition module 100 is used to detect a first historical driving mileage of the vehicle, and when the first historical driving mileage is greater than a preset mileage, enter an energy management mode to acquire a first historical operating parameter of the vehicle.

[0080] The determination module 200 is used to determine the user's driving habit type based on the first historical operating parameter, and determine the performance requirement of the vehicle based on the driving habit type.

[0081] The control module 300 is used to generate an energy management strategy for the vehicle according to performance requirements and control the vehicle to execute the energy management strategy.

[0082] Optionally, in one embodiment of the present application, the control module 300 includes: a judgment unit, a first prediction unit and a first generation unit.

[0083] The judging unit is used to judge whether the vehicle is in the navigation mode.

[0084] The first prediction unit is used to predict the future operating data of the vehicle by combining the first historical operating parameter and the navigation data of the vehicle when the vehicle is in the navigation mode.

[0085] The first generating unit is used to generate an energy management strategy according to future operating condition data, performance requirements and vehicle parameters of the vehicle, and execute the energy management strategy.

[0086] Optionally, in one embodiment of the present application, the generation unit includes: a generation subunit.

[0087] The generating subunit is used to determine the weight factor of each driving performance of the vehicle based on the performance requirement, so as to generate an energy management strategy based on the weight factor.

[0088] Optionally, in one embodiment of the present application, the control module 300 further includes: a second prediction unit and a second generation unit.

[0089] The second prediction unit is used to predict the future operating data of the vehicle at every preset mileage by combining the second historical operating parameter of the vehicle and the navigation data of the vehicle.

[0090] The second generating unit is used to generate a new energy management strategy according to future operating condition data, performance requirements and a second vehicle parameter of the vehicle, and to end the energy management strategy and execute the new energy management strategy until the navigation mode is exited.

[0091] Optionally, in one embodiment of the present application, the control module 300 includes: a matching unit and a control unit.

[0092] The matching unit is used to match the corresponding energy management strategy in the preset energy management mode database based on performance requirements when the vehicle is not in the navigation mode.

[0093] The control unit is used for executing the energy management strategy until the second historical driving mileage of the vehicle reaches a preset mileage to generate a new performance requirement.

[0094] It should be noted that the above explanation of the embodiment of the vehicle energy management method is also applicable to the vehicle energy management device of this embodiment, and will not be repeated here.

[0095] According to the vehicle energy management device proposed in the embodiment of the present application, after the vehicle has traveled a certain mileage, it enters the energy management mode, and then determines the user's driving habit type through the historical operating parameters in the mileage traveled, and then determines the vehicle's performance requirements. The vehicle can generate a corresponding energy management strategy based on the performance requirements and apply it to the subsequent mileage of the vehicle, so that the vehicle's energy management strategy is not only based on mileage, maximum endurance and other standards, but can be more in line with user needs, thereby improving the driving experience of different users. In this way, the technical problem in the related technology that it is impossible to simultaneously meet the different performance requirements of users for vehicles under different driving habits, thereby affecting the actual driving experience of users, is solved.

[0096] Figure 4 A schematic diagram of the structure of a vehicle provided in an embodiment of the present application. The vehicle may include:

[0097] Memory 401 , processor 402 , and a computer program stored in the memory 401 and executable on the processor 402 .

[0098] When the processor 402 executes the program, the vehicle energy management method provided in the above embodiment is implemented.

[0099] Furthermore, the vehicle also includes:

[0100] The communication interface 403 is used for communication between the memory 401 and the processor 402 .

[0101] The memory 401 is used to store computer programs that can be executed on the processor 402 .

[0102] The memory 401 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0103] If the memory 401, the processor 402 and the communication interface 403 are implemented independently, the communication interface 403, the memory 401 and the processor 402 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0104] Optionally, in a specific implementation, if the memory 401, the processor 402 and the communication interface 403 are integrated on a chip, the memory 401, the processor 402 and the communication interface 403 can communicate with each other through an internal interface.

[0105] The processor 402 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0106] This embodiment also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned vehicle energy management method is implemented.

[0107] An embodiment of the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the vehicle energy management method provided by an embodiment of the present invention.

[0108] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0109] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0110] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0111] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0112] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0113] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0114] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0115] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A vehicle energy management method, characterized in that: The following steps are involved: detecting a first historical mileage of the vehicle, and when the first historical mileage is greater than a preset mileage, entering an energy management mode, and acquiring a first historical operating parameter of the vehicle; determining a user's driving habit type based on the first historical operating parameter, and determining a performance requirement of the vehicle based on the driving habit type; An energy management strategy for the vehicle is generated according to the performance requirement, and the vehicle is controlled to execute the energy management strategy.

2. The method according to claim 1, characterized in that Generating the energy management strategy of the vehicle according to the performance requirement, and controlling the vehicle to execute the energy management strategy, includes: determining whether the vehicle is in navigation mode; If the vehicle is in the navigation mode, predicting future operating data of the vehicle by combining the first historical operating parameter and the navigation data of the vehicle; The energy management strategy is generated according to the future operating condition data, the performance requirement and a first vehicle parameter of the vehicle, and the energy management strategy is executed.

3. The method according to claim 2, characterized in that The generating the energy management strategy according to the future operating condition data, the performance requirement and the first vehicle parameter of the vehicle comprises: A weighting factor for each driving performance of the vehicle is determined based on the performance requirement to generate the energy management strategy based on the weighting factor.

4. The method according to claim 2, characterized in that: After executing the energy management strategy, the method further includes: At every preset mileage, predicting future operating data of the vehicle by combining a second historical operating parameter of the vehicle and navigation data of the vehicle; A new energy management strategy is generated according to the future operating condition data, the performance requirement and a second vehicle parameter of the vehicle, and the energy management strategy is ended and executed until the navigation mode is exited.

5. The method according to claim 2 or 4, characterized in that: Generating the energy management strategy of the vehicle according to the performance requirement, and controlling the vehicle to execute the energy management strategy, includes: If the vehicle is not in the navigation mode, matching the corresponding energy management strategy in a preset energy management mode database based on the performance requirement; The energy management strategy is executed until the second historical driving mileage of the vehicle reaches the preset mileage to generate a new performance requirement.

6. A vehicle energy management device, characterized in that: include: an acquisition module, configured to detect a first historical driving mileage of the vehicle, and enter an energy management mode to acquire a first historical operating parameter of the vehicle when the first historical driving mileage is greater than a preset mileage; a determination module, configured to determine a user's driving habit type based on the first historical operating parameter, and determine a performance requirement of the vehicle based on the driving habit type; A control module is used to generate an energy management strategy for the vehicle according to the performance requirement and control the vehicle to execute the energy management strategy.

7. The device according to claim 6, characterized in that The control module comprises: A determination unit, used to determine whether the vehicle is in a navigation mode; a prediction unit, configured to predict future operating data of the vehicle by combining the first historical operating parameter and the navigation data of the vehicle when the vehicle is in the navigation mode; A generating unit is used to generate the energy management strategy according to the future operating condition data, the performance requirement and the vehicle parameters of the vehicle, and execute the energy management strategy.

8. A vehicle, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the vehicle energy management method according to any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the vehicle energy management method as described in any one of claims 1 to 5.

10. A computer program product, comprising a computer program, wherein when the computer program is executed, the computer program is used to implement the vehicle energy management method according to any one of claims 1 to 5.

Images