Vehicle control method, device, equipment and computer-readable storage medium

Abstract

This application relates to the field of vehicle technology and provides a vehicle control method, apparatus, device, and storage medium. The method comprises: obtaining control boundaries for a user's driving scenario through learning based on historical scenario parameters; adapting a control strategy for the current driving scenario based on current scenario parameters and the control boundaries; and controlling the vehicle based on the control strategy for the current driving scenario. The scenario parameters include navigation information and at least one of usage information, weather information, driving habits information, and vehicle-side information. The application of the technical solution of this application can address the existing problem of the inability to control the vehicle according to user needs.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a vehicle control method, device, equipment, and computer-readable storage medium. Background Art

[0002] At present, the vehicle control strategy of new energy vehicles is relatively simple, and the same control strategy is used to control the vehicle in all vehicle usage scenarios. However, users have different preferences in different vehicle usage scenarios, and the control is not personalized enough. Users have complained in some scenarios, and the control cannot meet their needs.

[0003] It can be seen that the existing technology has the problem of not being able to control the vehicle according to user needs. Summary of the Invention

[0004] In view of the above problems, the present application provides a vehicle control method, device, equipment and computer-readable storage medium to solve the problem in the prior art that the vehicle cannot be controlled according to user needs.

[0005] According to a first aspect of an embodiment of the present application, a vehicle control method is provided, the method comprising: obtaining a control boundary of a user's driving scene through learning based on historical scene parameters; obtaining a control strategy for a current driving scene based on current scene parameters and the control boundary adaptation; and controlling the vehicle based on the control strategy for the current driving scene; wherein the scene parameters comprise: navigation information, and at least one of usage information, weather information, driving habit information, and vehicle-side information.

[0006] In an optional manner, the control strategy for the current scene adapted according to the current scene parameters and the control boundaries further includes: identifying the current driving scene according to the current navigation information; and adapting the control boundaries in the current driving scene to obtain the control strategy in the current driving scene according to at least one of the current navigation information, current usage information, current weather information, current driving habit information and current vehicle-side information.

[0007] In an optional manner, the control boundaries of the user driving scene are obtained by learning based on historical scene parameters, further including: if the number of historical commutes that appear in the same historical travel information in the same historical travel time period is greater than the preset commuting number, then the user driving scene is determined to be a work commuting scene, and the control boundaries under the work commuting scene are learned; wherein, the historical navigation information includes: the historical travel information, the historical travel time period corresponding to the historical travel information, and the historical commuting number corresponding to the historical travel information.

[0008] In an optional embodiment, the vehicle includes a range extender and a power battery; the control strategy for the current driving scene adapted according to the current scene parameters and the control boundary further includes: if the current trip information is the same as the historical trip information in the work commuting scene, and the trip time period of the current trip information is the same as the historical trip time period in the work scene, then determining that the current driving scene is the work commuting scene; based on the control boundary in the work commuting scene, and at least one of the current navigation information, current usage information, current weather information, current driving habit information and current vehicle-side information, the control strategy adapted is: adjusting the initial power threshold of the power battery for controlling the start of the range extender to a target power threshold; wherein, the target power threshold is less than the initial power threshold.

[0009] In an optional manner, controlling the vehicle based on the control strategy under the current driving scenario further includes: adjusting an initial power battery charge threshold for controlling the start of the range extender to a target power threshold; if it is detected that the power battery charge is less than the target power threshold, controlling the start of the range extender.

[0010] In an optional manner, the control strategy for the current driving scenario adapted according to the current scenario parameters and the control boundaries further includes: if it is detected that the current ambient temperature is lower than the preset power battery heating temperature and the commuting distance is less than the target distance threshold, the adapted control strategy is: adjusting the power battery heating condition to the current ambient temperature being lower than the preset power battery heating temperature and the commuting distance being greater than the target commuting distance; wherein the current weather information includes the current ambient temperature.

[0011] In an optional manner, the controlling the vehicle based on the control strategy under the current driving scenario further includes: adjusting the power battery heating condition to a state where the current ambient temperature is lower than a preset power battery heating temperature and the commuting distance is greater than a target commuting distance; if it is detected that the current ambient temperature is lower than the preset power battery heating temperature and the commuting distance is less than or equal to the target commuting distance, then prohibiting heating the power battery.

[0012] According to a second aspect of an embodiment of the present application, a vehicle control device is provided, comprising: a control boundary acquisition module for learning and obtaining a control boundary of a user's driving scenario based on historical scenario parameters; a control strategy generation module for obtaining a control strategy for a current driving scenario based on current scenario parameters and the control boundary adaptation; and a control module for controlling the vehicle based on the control strategy in the current driving scenario; wherein the scenario parameters include: navigation information, and at least one of usage information, weather information, driving habit information, and vehicle-side information.

[0013] According to a third aspect of an embodiment of the present application, an electronic device is provided, comprising: a controller; a memory for storing one or more programs, wherein when the one or more programs are executed by the controller, the controller implements the following steps of the vehicle control method: obtaining a control boundary of a user's driving scene through learning based on historical scene parameters; obtaining a control strategy for a current driving scene through adaptation based on current scene parameters and the control boundary; and controlling the vehicle based on the control strategy under the current driving scene; wherein the scene parameters include: navigation information, and at least one of usage information, weather information, driving habit information, and vehicle-side information.

[0014] According to a fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, characterized in that at least one executable instruction is stored in the storage medium, and when the executable instruction is run on a control device / electronic device of a vehicle, the control device / electronic device of the vehicle performs the following operations of the vehicle control method: obtaining a control boundary of a user's driving scene through learning based on historical scene parameters; obtaining a control strategy for a current driving scene through adaptation based on current scene parameters and the control boundary; and controlling the vehicle based on the control strategy under the current driving scene; wherein the scene parameters include: navigation information, and at least one of usage information, weather information, driving habit information, and vehicle-side information.

[0015] The embodiment of the present application obtains the control boundary of the user's driving scene based on historical scene parameters, and can understand the user's vehicle usage status, and then obtains the control strategy of the current driving scene according to the current scene parameters and the control boundary adaptation. According to the current scene parameters, the current user's driving scene can be determined, and the control boundary of the vehicle side under the current user's driving scene is obtained, so that the user's vehicle usage needs can be understood, and corresponding control strategies can be formulated according to the user's vehicle usage needs. The vehicle is controlled according to the control strategy under the current driving scene, so as to meet the user's vehicle usage needs in real time and enhance the user experience.

[0016] The above description is only an overview of the technical solutions of the embodiments of the present application. In order to more clearly understand the technical means of the embodiments of the present application, they can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the embodiments of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are only used to illustrate the embodiments and are not to be considered as limiting the present application. In addition, the same reference symbols are used to represent the same components throughout the drawings. In the drawings:

[0018] Figure 1A flow chart showing a first embodiment of a vehicle control method provided by the present application is shown;

[0019] Figure 2 A flow chart showing a second embodiment of a vehicle control method provided by the present application is shown;

[0020] Figure 3 A flowchart of a third embodiment of a vehicle control method provided by the present application is shown;

[0021] Figure 4 A flowchart of a fourth embodiment of a vehicle control method provided by the present application is shown;

[0022] Figure 5 A flowchart showing a fifth embodiment of a vehicle control method provided by the present application is shown;

[0023] Figure 6 A schematic structural diagram of an embodiment of a control device for a vehicle of the present application is shown;

[0024] Figure 7 A structural diagram of an embodiment of the electronic device of the present application is shown. DETAILED DESCRIPTION

[0025] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. When the following description refers to the drawings, identical numerals in different figures represent identical or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0026] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0027] The flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, while others may be combined or partially combined. Therefore, the actual execution order may vary depending on the actual situation.

[0028] In this application, "plurality" refers to two or more. "And / or" describes the relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally indicates that the related objects are in an "or" relationship.

[0029] Figure 1 The flowchart of the first embodiment of a vehicle control method provided by the present application is shown, and the method is executed by a vehicle device. Figure 1 As shown, the method includes the following steps:

[0030] Step S110: learning based on historical scene parameters to obtain the control boundary of the user's driving scene;

[0031] Among them, historical scene parameters include historical navigation information, historical usage information, historical weather information, historical driving habit information and historical vehicle-side information. By learning historical scene parameters, we can learn the user's vehicle-side control parameters in different user driving scenarios, that is, control boundaries, and thus understand the user's vehicle usage status.

[0032] Step S120: Obtaining a control strategy for the current driving scenario based on the current scenario parameters and the control boundary adaptation;

[0033] The current user's driving scenario can be determined based on the current scenario parameters. For example, the user's driving scenario can include work commuting, suburban driving, long-distance driving, mountain driving, desert driving, etc. The vehicle-side control boundaries for the current user's driving scenario are obtained to understand the user's vehicle needs and develop a corresponding control strategy based on the user's vehicle needs.

[0034] Step S130: controlling the vehicle based on the control strategy in the current driving scenario;

[0035] The vehicle is controlled according to the control strategy under the current driving scenario so as to meet the user's vehicle needs in real time and enhance the user's experience.

[0036] It should be noted that the scenario parameters include navigation information, as well as at least one of usage information, weather information, driving habits information, and vehicle-side information. Navigation information includes vehicle usage time, such as a fixed daily usage time; road slope; road type, such as urban roads, expressways, national highways, and village roads; navigation destinations, such as work, leisure venues, and home; traffic conditions, such as congested and smooth traffic; altitude; transit points, such as suburban areas, mountainous areas, service areas, and urban areas; and vehicle speed levels, such as super-high speed, high speed, medium-high speed, medium speed, low speed, and ultra-low speed. Usage information includes long-distance driving, short-distance driving, daily commuting, office transportation, and outdoor outings. Weather information includes temperature; weather type, such as sunny, rainy, foggy, and snowy; humidity; wind speed and direction. Driving habit information includes: driving type, such as aggressive, standard, and relaxed; power usage frequency, such as the number of times the car is driven on the battery in a week; charging habits, such as the number of times the car is charged in a week; cabin control habits, such as preheating, AC gear temperature and PTC gear temperature, smart driving and use of other electrical devices; vehicle usage habits, such as pure electric driving mileage, extended-range driving mileage, number of extended-range starts, lowest power consumption in a consecutive week, average power consumption in a consecutive week, highest power consumption in a consecutive week, average mileage per trip, mileage in a week, and average vehicle speed. Vehicle-side information includes: vehicle configuration information, such as power battery pack configuration, battery management unit configuration, vehicle resistance configuration, motor system configuration, air conditioning system configuration, and PTC heating module configuration; vehicle mode, such as sport mode and normal mode; remaining battery pack charge, fuel tank level, and real-world vehicle scenario recognition.

[0037] By learning the control boundaries of the user's driving scene based on historical scene parameters, it is possible to understand the user's vehicle usage status, and then adapt the control strategy of the current driving scene based on the current scene parameters and the control boundaries. According to the current scene parameters, the current user's driving scene can be determined, and the control boundaries of the vehicle side under the current user's driving scene are obtained, so that the user's vehicle usage needs can be understood, and corresponding control strategies can be formulated according to the user's vehicle usage needs. The vehicle is controlled according to the control strategy under the current driving scene, so as to meet the user's vehicle usage needs in real time and enhance the user experience.

[0038] Figure 2 A flow chart showing a second embodiment of a vehicle control method provided by the present application is shown, and the method is executed by a vehicle device. Figure 2 As shown, the control strategy for the current scene is obtained by adapting the current scene parameters and the control boundary, further comprising the following steps:

[0039] Step S210: identifying and obtaining a current driving scene based on the current navigation information;

[0040] Among them, by obtaining the current navigation information and analyzing the current navigation information, the current driving scene can be obtained. For example, based on the navigation information, the starting point and end point of the navigation, road condition characteristics (mountainous, urban, suburban and slope, etc.) and travel time can be obtained to determine the current driving scene. The current driving scene can be a work commuting scene, a suburban driving scene, a long-distance driving scene, a mountain driving scene, a desert driving scene, etc.

[0041] Step S220: The control boundary in the current driving scenario is adapted to obtain the control strategy in the current driving scenario based on at least one of the current navigation information, current usage information, current weather information, current driving habit information and current vehicle-side information.

[0042] Among them, the control boundary in the current driving scenario may obtain one or a combination of current usage information, current weather information, current driving habit information and current vehicle-side information according to the user's car usage habits. Adaptation is performed within the control boundary based on the actual information obtained to obtain the control strategy in the current driving scenario to meet the user's real-time needs.

[0043] In another embodiment of the present application, the learning based on historical scene parameters to obtain the control boundary of the user driving scene further includes:

[0044] If the number of historical commutes that appear in the same historical travel information in the same historical travel time period is greater than the preset commuting number, the user's driving scenario is determined to be a work commuting scenario, and the control boundary under the work commuting scenario is learned; wherein, the historical navigation information includes: the historical travel information, the historical travel time period corresponding to the historical travel information, and the historical commuting number corresponding to the historical travel information.

[0045] In this embodiment, if the number of historical commutes that appear in the same historical travel information in the same historical travel period is greater than the preset number of commutes, for example, the user navigates the distance from home to the company between 7 and 9 in the morning every day, and the number of historical commutes exceeds 10 times, then it can be determined that the user's driving scenario is a work commuting scenario, and the control boundaries under the work commuting scenario are learned, such as whether to start the range extender, the charging frequency, etc.

[0046] Figure 3 A flow chart of a third embodiment of a vehicle control method provided by the present application is shown, and the method is executed by a vehicle device. Figure 3 As shown, the vehicle includes a range extender and a power battery; the control strategy for the current driving scenario is obtained based on the current scenario parameters and the control boundary adaptation, further comprising the following steps:

[0047] Step S310: If the current travel information is identical to the historical travel information in the work commuting scenario, and the travel period of the current travel information is identical to the historical travel period in the work scenario, then the current driving scenario is determined to be the work commuting scenario;

[0048] It should be noted that the travel time period of the current travel information and the historical travel time period do not have to be completely consistent. Users may work overtime or arrive early. It is only necessary to make sure that the current travel time period is similar or in the same time period. For example, 7 to 9 am every day is the travel time period for work commuting scenarios.

[0049] Step S320: Based on the control boundaries in the work commuting scenario, and at least one of the current navigation information, current usage information, current weather information, current driving habit information and current vehicle-side information, the adapted control strategy is: adjusting the initial power threshold of the power battery that controls the start of the range extender to a target power threshold; wherein the target power threshold is less than the initial power threshold.

[0050] Among them, according to at least one of the current navigation information, current usage information, current weather information, current driving habit information and current vehicle-side information, it can be analyzed that the user does not start the range extender in the work commuting scenario, and when the power drops to a certain level, the power battery is charged. The control strategy obtained through adaptation is: the initial power threshold of the power battery that controls the start of the range extender is adjusted to the target power threshold; the target power threshold is less than the initial power threshold, so that the trigger condition for starting the range extender and the remaining power value of the power battery are reduced, the power battery power is used for driving as much as possible, and the use of oil-generated electricity for driving is reduced, thereby achieving good economy.

[0051] It should be noted that the adapted control strategy also includes: if the power level is detected to be less than the target power level threshold, the range extender is controlled to generate electricity according to the maximum oil-to-electricity conversion rate. Even if the range extender is started, the range extender is controlled to start according to the maximum oil-to-electricity conversion rate to maximize the power generation of the range extender, thereby further achieving good economic efficiency.

[0052] Figure 4 A flowchart of a fourth embodiment of a vehicle control method provided by the present application is shown, and the method is executed by a vehicle device. Figure 4 As shown, controlling the vehicle based on the control strategy in the current driving scenario further includes:

[0053] Step S410: adjusting the initial power threshold of the power battery for controlling the start of the range extender to the target power threshold;

[0054] Among them, according to the control strategy, the initial power threshold of the power battery for controlling the start of the range extender is adjusted to the target power threshold, so that the range extender is started after the power is less than the target power threshold.

[0055] Step S420: If it is detected that the power battery power is less than the target power threshold, the range extender is controlled to start.

[0056] Among them, if it is detected that the power battery power is less than the target power threshold, the range extender is controlled to start, and the range extender can be controlled to generate electricity according to the maximum oil-to-electricity conversion rate to generate as much electricity as possible, thereby further achieving good economy.

[0057] In another embodiment of the present application, the control strategy for the current driving scene is obtained by adapting the current scene parameters and the control boundary, further comprising:

[0058] If it is detected that the current ambient temperature is lower than the preset power battery heating temperature and the commuting distance is less than the target distance threshold, the adapted control strategy is: adjust the power battery heating condition to the current ambient temperature being lower than the preset power battery heating temperature and the commuting distance being greater than the target commuting distance; wherein, the current weather information includes the current ambient temperature.

[0059] In this embodiment, if it is detected that the current ambient temperature is lower than the preset power battery heating temperature and the commuting distance is less than the target distance threshold, it means that the current ambient temperature is lower than the preset power battery heating temperature, which means that the power battery temperature needs to be heated. However, since the commuting distance is less than the target distance threshold, if the power battery is heated, the power battery will not reach the target heating temperature when arriving at the commuting destination. At this time, controlling the power battery heating cannot achieve the preset heating effect.

[0060] Figure 5 A flowchart of a fifth embodiment of a vehicle control method provided by the present application is shown, and the method is executed by a vehicle device. Figure 5 As shown, controlling the vehicle based on the control strategy in the current driving scenario further includes the following steps:

[0061] Step S510: adjusting the power battery heating condition to the current ambient temperature being lower than the preset power battery temperature and the commuting distance being greater than the target commuting distance;

[0062] Step S520: If it is detected that the current ambient temperature is lower than the preset power battery heating temperature and the commuting distance is less than or equal to the target commuting distance, heating of the power battery is prohibited.

[0063] Among them, if it is detected that the current temperature is lower than the preset power battery heating temperature and the commuting distance is less than or equal to the target commuting distance, heating of the power battery is prohibited. When the commuting distance is short, the commuting destination can be reached without heating the power battery. By preventing the heating module from consuming electrical energy when heating the power battery, the endurance of the power battery is increased, the economy is further improved, and a good experience is brought to users.

[0064] Figure 6 Schematic diagram showing the structure of an embodiment of the vehicle control device of the present application. Figure 6 As shown, the device 600 includes: a control boundary acquisition module 610 , a control strategy generation module 620 and a control module 630 .

[0065] A control boundary acquisition module 610 is configured to learn and obtain the control boundary of the user's driving scene based on historical scene parameters;

[0066] A control strategy generation module 620 is configured to adapt the control strategy for the current driving scenario based on the current scenario parameters and the control boundary;

[0067] A control module 630 is configured to control the vehicle based on a control strategy in the current driving scenario;

[0068] The scenario parameters include: navigation information, and at least one of usage information, weather information, driving habit information and vehicle-side information.

[0069] It should be noted that the vehicle control device provided in the above embodiment and the vehicle control method provided in the above embodiment belong to the same concept, and the specific manner in which each module and unit performs operations has been described in detail in the method embodiment and will not be repeated here.

[0070] Figure 7 A structural diagram of an embodiment of the electronic device of the present application is shown, which shows a structural diagram of a computer system suitable for implementing the electronic device of the embodiment of the present application. The specific embodiment of the present application is not limited to the specific implementation of the electronic device.

[0071] See also Figure 7 As shown, the electronic device includes: a controller; a memory for storing one or more programs, and when the one or more programs are executed by the controller, the above-mentioned vehicle control method is executed.

[0072] Please continue reading Figure 7As shown, the computer system 700 of the electronic device includes a central processing unit (CPU) 701, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 702 or the program loaded from the storage part 708 into the random access memory (RAM) 703, such as executing the method in the above embodiment. In the RAM 703, various programs and data required for system operation are also stored. The CPU 701, ROM 702 and RAM 703 are connected to each other via a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0073] The following components are connected to the I / O interface 705: an input section 706 including a keyboard, a mouse, and the like; an output section 707 including devices such as a cathode ray tube (CRT), a liquid crystal display (LCD), and a speaker; a storage section 708 including a hard disk and the like; and a communication section 709 including a network interface card such as a LAN (Local Area Network) card or a modem. The communication section 709 performs communication processing via a network such as the Internet. A drive 710 is also connected to the I / O interface 705 as needed. A removable medium 711, such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, is installed in the drive 710 as needed, so that a computer program read therefrom can be installed into the storage section 708 as needed.

[0074] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via the communication section 709, and / or installed from a removable medium 711. When the computer program is executed by the central processing unit (CPU) 701, the various functions defined in the system of the present application are executed.

[0075] Another aspect of the present application provides a computer-readable storage medium having a computer program stored thereon. When executed by a processor, the computer program implements the vehicle control method described above. The computer-readable storage medium may be included in the electronic device described in the above embodiments, or may exist independently and not be incorporated into the electronic device.

[0076] Another aspect of the present application also provides a computer program product or computer program, which includes at least one executable instruction. When the executable instruction is run on the control device / electronic device of the vehicle, the control device / equipment of the vehicle executes the vehicle control method as described above.

[0077] The executable instructions can be used to cause the vehicle's control device / electronic device to perform the following operations:

[0078] The control boundary of the user's driving scene is obtained by learning based on historical scene parameters;

[0079] Adapting the control strategy for the current driving scene based on the current scene parameters and the control boundary;

[0080] controlling the vehicle based on the control strategy in the current driving scenario;

[0081] The scenario parameters include: navigation information, and at least one of usage information, weather information, driving habit information and vehicle-side information.

[0082] It should be noted that the computer-readable medium shown in the embodiments of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, which carries a computer-readable computer program. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. A computer program embodied on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wired, or any suitable combination thereof.

[0083] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. Among them, each box in the flowchart or block diagram can represent a module, program segment, or part of the code, and the above-mentioned module, program segment, or part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0084] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. In some cases, the names of these units do not constitute limitations on the units themselves.

[0085] According to one aspect of an embodiment of the present application, a computer system is further provided, including a central processing unit (CPU), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) or a program loaded from a storage portion into a random access memory (RAM), such as executing the method in the above embodiment. Various programs and data required for system operation are also stored in the RAM. The CPU, ROM, and RAM are connected to each other via a bus. An input / output (I / O) interface is also connected to the bus.

[0086] The following components are connected to the I / O interface: an input section including a keyboard, mouse, etc.; an output section including a cathode ray tube (CRT), liquid crystal display (LCD), and speakers; a storage section including a hard disk; and a communication section including a network interface card such as a LAN (Local Area Network) card and a modem. The communication section performs communication processing via a network such as the Internet. A drive is also connected to the I / O interface as needed. Removable media such as magnetic disks, optical disks, magneto-optical disks, semiconductor memories, etc. are installed in the drive as needed so that computer programs read from them can be installed into the storage section as needed.

[0087] The above content is only a preferred exemplary embodiment of the present application and is not intended to limit the implementation scheme of the present application. Ordinary technicians in this field can easily make corresponding changes or modifications based on the main ideas and spirit of the present application. Therefore, the scope of protection of the present application shall be based on the scope of protection required by the claims.

Claims

1. A vehicle control method, characterized in that: The vehicle includes a range extender and a power battery; the method includes: The control boundary of the user's driving scene is obtained by learning based on historical scene parameters; Adapting the control strategy for the current driving scene based on the current scene parameters and the control boundary; controlling the vehicle based on the control strategy in the current driving scenario; The scenario parameters include: navigation information, and at least one of usage information, weather information, driving habit information, and vehicle-side information; The adapting the control strategy for the current driving scene according to the current scene parameters and the control boundary further includes: If the current travel information is the same as the historical travel information in the work commuting scenario, and the travel period of the current travel information is the same as the historical travel period in the work commuting scenario, then the current driving scenario is determined to be the work commuting scenario; Based on the control boundaries in the work commuting scenario, and at least one of current navigation information, current usage information, current weather information, current driving habit information, and current vehicle-side information, the adapted control strategy is: adjusting the initial power threshold of the power battery that controls the start of the range extender to a target power threshold; wherein the target power threshold is less than the initial power threshold.

2. The vehicle control method according to claim 1, characterized in that: The adapting of the control strategy for the current scene according to the current scene parameters and the control boundary further includes: Identify the current driving scene based on the current navigation information; The control boundary in the current driving scenario is adapted to obtain the control strategy in the current driving scenario based on at least one of current navigation information, current usage information, current weather information, current driving habit information and current vehicle-side information.

3. The vehicle control method according to claim 1, characterized in that: The learning based on the historical scene parameters to obtain the control boundary of the user driving scene further includes: If the number of historical commutes that appear in the same historical travel information in the same historical travel time period is greater than the preset commuting number, the user's driving scenario is determined to be a work commuting scenario, and the control boundary under the work commuting scenario is learned; wherein, the historical navigation information includes: the historical travel information, the historical travel time period corresponding to the historical travel information, and the historical commuting number corresponding to the historical travel information.

4. The vehicle control method according to claim 1, wherein: The controlling the vehicle based on the control strategy in the current driving scenario further includes: Adjust the initial power threshold of the power battery that controls the start of the range extender to the target power threshold; If it is detected that the power battery power is less than the target power threshold, the range extender is controlled to start.

5. The vehicle control method according to claim 1, characterized in that: The control strategy for the current driving scene is obtained by adapting the current scene parameters and the control boundary, further comprising: If it is detected that the current ambient temperature is lower than the preset power battery heating temperature and the commuting distance is less than the target distance threshold, the adapted control strategy is: adjust the power battery heating condition to the current ambient temperature being lower than the preset power battery heating temperature and the commuting distance being greater than the target commuting distance; wherein, the current weather information includes the current ambient temperature.

6. The vehicle control method according to claim 1, characterized in that: The controlling the vehicle based on the control strategy in the current driving scenario further includes: The power battery heating condition is adjusted to the current ambient temperature being lower than the preset power battery heating temperature and the commuting distance being greater than the target commuting distance; If it is detected that the current ambient temperature is lower than the preset power battery heating temperature and the commuting distance is less than or equal to the target commuting distance, heating of the power battery is prohibited.

7. A vehicle control device, characterized in that: The vehicle includes a range extender and a power battery; the device includes: The control boundary acquisition module is used to learn the control boundary of the user's driving scene based on historical scene parameters; a control strategy generation module, configured to adapt a control strategy for the current driving scenario based on the current scenario parameters and the control boundary, and determine that the current driving scenario is the work commuting scenario if the current trip information is identical to the historical trip information for the work commuting scenario, and if the travel time period of the current trip information is identical to the historical travel time period for the work commuting scenario; Based on the control boundary in the work commuting scenario and at least one of current navigation information, current usage information, current weather information, current driving habit information, and current vehicle-side information, a control strategy is adapted to: adjust an initial power battery charge threshold for controlling activation of the range extender to a target power battery charge threshold; wherein the target power battery charge threshold is less than the initial power battery charge threshold; a control module, configured to control the vehicle based on a control strategy in the current driving scenario; The scenario parameters include: navigation information, and at least one of usage information, weather information, driving habit information and vehicle-side information.

8. An electronic device, characterized in that: include: Controller; The memory is used to store one or more programs, and when the one or more programs are executed by the controller, the controller implements the vehicle control method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The storage medium stores at least one executable instruction. When the executable instruction is executed on the control device / electronic device of the vehicle, the control device / electronic device of the vehicle executes the operation of the vehicle control method according to any one of claims 1 to 6.

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