Vehicle torque self-adaptive adjusting method and device, electronic equipment and medium

Abstract

The invention provides a vehicle torque self-adaptive adjusting method and device, electronic equipment and a medium, and the method comprises the steps: monitoring the driving data of a vehicle, judging whether the vehicle is in a preset driving state or not according to the slip rate, the road adhesion coefficient and the weather parameter in the driving data, and when the vehicle is not in the preset driving state, adjusting the torque of the vehicle. The multiple pre-adjusting torques are generated based on the driving data of the vehicle and the current torque, and then the target adjusting torque is generated according to the multiple pre-adjusting torques and the user operation torque to adjust the current torque of the vehicle, so that the vehicle outputs the optimal torque, and the safety of the vehicle is improved. The driving state of the vehicle is monitored from multiple aspects of the driving data, the multiple pre-adjusting torques are generated based on the driving data and the current torque when the vehicle driving does not reach the ideal state, and then the optimal adjusting torque of the vehicle is determined according to the multiple pre-adjusting torques so as to adjust the torque of the vehicle in the driving process. The risk of vehicle accidents is reduced, and the safety of vehicle driving is improved.

Description

Technical Field

[0001] The present invention relates to the field of vehicle control, and in particular to a vehicle torque adaptive adjustment method, device, electronic equipment and medium. Background Art

[0002] With the rapid development of the new energy vehicle industry, the requirements for vehicle performance are getting higher and higher, especially in terms of power distribution and driving safety. The torque of a vehicle is directly related to the safety of the vehicle and its passengers. During driving, if the driver's driving experience is insufficient and the road information is not accurately judged, vehicle safety accidents are prone to occur. In related technologies, new energy vehicles usually use a single sensor or a simple algorithm to adjust the output of the vehicle's torque. If the torque and chassis of the vehicle are adjusted by the parameters collected by a single sensor in a complex environment, the environmental parameters are not fully identified. During adjustment, there is a certain deviation between the adjusted torque and the actual distance the vehicle moves, and there are safety hazards such as vehicle rollover, skidding, and rear-end collision. The driving safety of the vehicle needs to be improved.

[0003] Therefore, how to provide a technical solution for comprehensively identifying the vehicle driving environment and adaptively adjusting the vehicle torque to improve the safety of the vehicle is a technical problem that urgently needs to be solved. Summary of the invention

[0004] In view of the above-mentioned shortcomings of the prior art, the present invention provides a vehicle torque adaptive adjustment method, device, electronic device and medium to solve at least one of the above-mentioned technical problems.

[0005] In order to achieve the above-mentioned purpose and other related purposes, the technical solution provided by this application is as follows.

[0006] According to one aspect of an embodiment of the present application, a vehicle torque adaptive adjustment method is provided, comprising:

[0007] Monitoring driving data of the vehicle, the driving data including slip rate, road adhesion coefficient and weather parameters;

[0008] determining whether the vehicle driving state is in a preset driving state according to the slip rate, the road adhesion coefficient, the weather parameter and corresponding preset threshold conditions;

[0009] If the vehicle driving state is not in the preset driving state, multiple pre-adjustment torques are generated according to the driving data and the current torque of the vehicle, and then a target adjustment torque is generated according to the multiple pre-adjustment torques and the user operation torque to adjust the current torque according to the target adjustment torque.

[0010] In one embodiment of the present application, the multiple pre-adjustment torques include a first pre-adjustment torque, a second pre-adjustment torque and a third pre-adjustment torque, and the multiple pre-adjustment torques are generated according to the driving data and the current torque of the vehicle, including: generating the first pre-adjustment torque based on the slip rate, the current torque and the slip rate adjustment coefficient; generating the second pre-adjustment torque based on the road adhesion coefficient, the current torque and the road adhesion adjustment coefficient; generating the third pre-adjustment torque according to the weather parameters and the current torque.

[0011] In one embodiment of the present application, monitoring the driving data of a vehicle includes: obtaining the vehicle's driving data and environmental data; determining the slip rate based on the vehicle body speed and wheel speed in the driving data; performing scene recognition on the environmental data to obtain a recognition result of the vehicle driving scene; and determining the road adhesion coefficient and weather parameters of the vehicle's driving road based on the recognition result and the driving data.

[0012] In one embodiment of the present application, feature extraction is performed on the environmental data to obtain environmental features of multiple dimensions; the environmental features of different dimensions are matched with corresponding preset environmental features to obtain matching results of multiple dimensions, and the recognition result of the vehicle driving scene is determined based on the matching results of multiple dimensions.

[0013] In one embodiment of the present application, the adjustment method of the slip ratio adjustment coefficient and the road adhesion adjustment coefficient includes: adjusting the slip ratio adjustment coefficient according to the change of the slip ratio within a preset slip ratio range, wherein the slip ratio adjustment coefficient changes in the opposite direction to the slip ratio; adjusting the road adhesion adjustment coefficient according to the change of the road adhesion coefficient, wherein the road adhesion adjustment coefficient changes in the same direction as the road adhesion coefficient.

[0014] In one embodiment of the present application, the third pre-adjustment torque is generated according to the weather parameters and the current torque, including: updating the slip rate and the road adhesion coefficient according to the weather parameters, and generating a weather adjustment coefficient based on the updated slip rate and road adhesion coefficient; determining the third pre-adjustment torque according to the current torque and the weather adjustment coefficient.

[0015] In one embodiment of the present application, a target adjustment torque is generated based on multiple pre-adjustment torques and a user-operated torque, including: determining the values ​​of the multiple pre-adjustment torques based on the driving data; traversing the first pre-adjustment torque, the second pre-adjustment torque, and the third pre-adjustment torque, and using one of the multiple pre-adjustment torques as a reference adjustment torque according to a preset torque adjustment condition; and determining the target adjustment torque based on the reference adjustment torque, the user-operated torque, and a vehicle torque distribution coefficient.

[0016] According to one aspect of an embodiment of the present application, a vehicle torque adaptive adjustment device is also provided, including: a monitoring module, used to monitor the driving data of the vehicle, the driving data including slip rate, road adhesion coefficient and weather parameters; a state determination module, used to determine whether the vehicle driving state is in a preset driving state based on the slip rate, the road adhesion coefficient and the weather parameters and corresponding preset threshold conditions; a torque adjustment module, used to generate a plurality of pre-adjustment torques according to the driving data and the current torque of the vehicle if the vehicle driving state is not in the preset driving state, and then generate a target adjustment torque according to the plurality of pre-adjustment torques and the user operation torque, so as to adjust the current torque according to the target adjustment torque.

[0017] According to one aspect of an embodiment of the present application, an electronic device is provided, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device implements the vehicle torque adaptive adjustment method as described above.

[0018] According to one aspect of an embodiment of the present application, a computer-readable storage medium is provided, on which computer-readable instructions are stored. When the computer-readable instructions are executed by a processor of a computer, the computer executes the vehicle torque adaptive adjustment method as described above.

[0019] The present application provides a method, device, electronic device and medium for adaptively adjusting vehicle torque, the method comprising monitoring the driving data of the vehicle, judging whether the vehicle is in a preset driving state from the slip rate, road adhesion coefficient and weather parameters in the driving data, and when the vehicle is not in the preset driving state, generating multiple pre-adjustment torques based on the driving data and current torque of the vehicle, and then generating a target adjustment torque based on the multiple pre-adjustment torques and user operation torque to adjust the current torque of the vehicle so that the vehicle outputs the best torque and improves the safety of the vehicle. The present application monitors the driving state of the vehicle from multiple aspects of the driving data, and when the vehicle driving does not reach the ideal state, generates multiple pre-adjustment torques based on the driving data and the current torque, and then determines the best adjustment torque of the vehicle based on the multiple pre-adjustment torques to adjust the torque of the vehicle during driving, reduce the risk of vehicle accidents and improve the safety of vehicle driving.

[0020] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present invention, and together with the specification, are used to explain the principles of the present invention. Obviously, the drawings described below are only some embodiments of the present invention, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0022] Figure 1 is a flow chart of a vehicle torque adaptive adjustment method shown in an exemplary embodiment of the present invention;

[0023] Figure 2 is a schematic diagram showing a vehicle torque collection method and whether the torque needs to be adjusted according to an exemplary embodiment of the present invention;

[0024] Figure 3 is a schematic diagram of parameters collected from various parts in a vehicle according to an exemplary embodiment of the present invention;

[0025] Figure 4 is a schematic diagram of a vehicle torque adaptive adjustment device shown in an exemplary embodiment of the present invention;

[0026] Figure 5 It is a schematic diagram of the structure of a computer system suitable for implementing the electronic device of the present invention, shown in an exemplary embodiment of the present invention. DETAILED DESCRIPTION

[0027] The following will describe the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, not for limiting the scope of protection of the present invention.

[0028] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0029] In the following description, numerous details are discussed to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0030] Controller Area Network (CAN) is a serial communication protocol bus used for real-time applications, which can use twisted pair cables to transmit signals.

[0031] Mid-engine, the center of gravity of the engine falls between the front and rear axles. Mid-engine rear wheel drive (MR: English full name Middle-engine Rear wheel drive) is a mid-engine rear-wheel drive. Mid-engine, Front-wheel drive (MF: Mid-engine, Front-wheel drive layout) is a mid-engine front-wheel drive.

[0032] With the rapid development of the new energy vehicle industry, the requirements for vehicle performance are getting higher and higher, especially in terms of power distribution and driving safety. The torque of a vehicle is directly related to the safety of the vehicle and its passengers. During driving, if the driver's driving experience is insufficient and the road information is not accurately judged, vehicle safety accidents are prone to occur. In related technologies, new energy vehicles usually use a single sensor or a simple algorithm to adjust the output of the vehicle's torque. If the torque and chassis of the vehicle are adjusted by the parameters collected by a single sensor in a complex environment, the environmental parameters are not fully identified. During adjustment, there is a certain deviation between the adjusted torque and the actual distance the vehicle moves, and there are safety hazards such as vehicle rollover, skidding, and rear-end collision. The driving safety of the vehicle needs to be improved.

[0033] Based on this, the present application provides a technical solution for adaptive adjustment of vehicle torque: monitoring the driving data of the vehicle, judging the driving state of the vehicle based on the slip rate, road adhesion coefficient, and weather data in the driving data; when the driving state of the vehicle is not within the preset driving state, first generate multiple pre-adjustment torques based on the driving data and the current torque of the vehicle, and then determine the target adjustment torque through the multiple pre-adjustment torques and the user operation torque to adjust the current torque.

[0034] See also Figure 1 , Figure 1 The figure is a flow chart of a vehicle torque adaptive adjustment method according to an exemplary embodiment of the present invention.

[0035] like Figure 1As shown, in an exemplary embodiment, a vehicle torque adaptive adjustment method includes at least steps S110 to S130, which are described in detail as follows:

[0036] In step S110 , driving data of the vehicle is monitored, where the driving data includes slip rate, road adhesion coefficient and weather parameters.

[0037] Specifically, the vehicle's driving data mainly includes three aspects: the slip rate during vehicle driving, the road adhesion coefficient and the weather during vehicle driving. Monitoring the vehicle's driving data can be real-time monitoring of the current vehicle driving section, or pre-collection of environmental data of the road on which the vehicle is about to travel.

[0038] It should be noted that the road adhesion coefficient is the friction between the vehicle and the road. The greater the friction between the vehicle and the road, the greater the road adhesion coefficient, and the smaller the friction between the vehicle and the road, the smaller the road adhesion coefficient. That is, the smoother the road, the smaller the road adhesion coefficient, and the rougher the road, the greater the road adhesion coefficient.

[0039] In an exemplary embodiment of the present application, monitoring the driving data of a vehicle includes: obtaining the driving data and environmental data of the vehicle; determining the slip rate according to the vehicle body speed and wheel speed in the driving data; performing scene recognition on the environmental data to obtain a recognition result of the vehicle driving scene; and determining the road adhesion coefficient and weather parameters of the vehicle driving road based on the recognition result and the driving data. Specifically, Figure 2 As shown, the vehicle's driving data is obtained through the vehicle's four wheel speed sensors. The vehicle's driving data includes the vehicle's overall speed and the actual output speed of the wheels, such as Figure 3 As shown, the driving data is sent to the vehicle controller through MR, MF and CAN bus respectively. The controller calculates the slip rate of the wheel according to the vehicle body speed and wheel speed. The slip rate determination expression is shown in (1):

[0040] S=(V-Vc) / V*100%(1)

[0041] In the expression (1), S is the slip ratio, V is the vehicle body speed, and Vc represents the wheel speed.

[0042] Combination Figure 2 and Figure 3 It can be seen that the vehicle's environmental data is obtained through the vehicle's external temperature sensor, panoramic camera, lidar and tire pressure sensor, weather system and weather sensor, such as Figure 3As shown, the outside temperature sensor is used to obtain the external environment temperature of the vehicle; the weather sensor is used to obtain the real-time weather conditions of the vehicle, such as the amount of rain, snow, and light during the driving process of the vehicle; the panoramic camera and lidar are used to obtain the road conditions of the vehicle; the weather system is used to obtain the weather conditions of the area where the vehicle is located; the obtained environmental data is input into the controller through the CAN bus for scene recognition, and the road adhesion coefficient and weather parameters of the vehicle's driving road are determined according to the vehicle's driving environment recognition results and driving data.

[0043] In an exemplary embodiment of the present application, scene recognition is performed on environmental data to obtain recognition results of vehicle driving scenes, including: feature extraction of environmental data to obtain environmental features of multiple dimensions; matching environmental features of different dimensions with corresponding preset environmental features to obtain matching results of multiple dimensions, based on the matching results of multiple dimensions. Specifically, the driving scene of the vehicle includes multiple environmental factors, and the multiple environmental factors are in different dimensions, so it is necessary to perform feature recognition on the acquired environmental data. During the driving of the vehicle, the driving road directly affects the driving of the vehicle. Road recognition is performed on the images collected by the panoramic camera, and radar detection is performed on the surface of the road based on the laser radar. The road information in the image is fused with the radar detection data to obtain the road features of the first dimension. Because the driving scenes of the vehicle include sunny days, cloudy days, rainy days, snowy days and other scenes, the external temperature sensor, weather sensor and weather system are used to determine which driving scene the vehicle is in. Weather, the weather conditions of the previous 6 hours, the current weather conditions, and the weather conditions of the next 6 hours at the location of the vehicle are obtained according to the weather system, and then the weather characteristics of the second dimension of the vehicle are determined according to the collected ambient temperature and weather sensors, and the road characteristics of the first dimension are matched with the preset road characteristics in the preset environmental characteristics to determine that the road characteristics of the vehicle are in a certain road scene, and the weather characteristics of the second dimension are matched with the preset weather characteristics in the preset environmental characteristics to determine the specific weather conditions of the environment in which the vehicle is located, and then the matching results of the road characteristics and the matching results of the weather characteristics are merged to determine the recognition result of the vehicle driving scene. For example: if the road feature matching result is an urban road and the weather matching result is a light rain weather, then the recognition result of the vehicle driving scene is an urban road light rain scene; if the road feature matching result is a mountain road and the weather matching result is a sunny weather, then the recognition result of the vehicle driving scene is a mountain road sunny scene. It should be noted that the weather of the time period before and after the location of the vehicle obtained by the weather system can be determined according to the actual situation, and there is no restriction on this.

[0044] It should be noted that if the vehicle is driven for the first time or is driving to a certain area for the first time, the preset environmental characteristics can be obtained from the vehicle's cloud server. The cloud server provides corresponding preset environmental characteristics based on the vehicle's driving location. For example, in areas in the south where it does not snow, road characteristics such as road icing and snow accumulation are not provided. The preset environmental characteristics can be updated according to the actual driving environment during the vehicle's driving journey.

[0045] In step S120, it is determined whether the vehicle driving state is in a preset driving state according to the slip ratio, the road adhesion coefficient and the weather parameters and the corresponding preset threshold conditions.

[0046] Specifically, Figure 2 As shown, the preset threshold conditions include preset slip rate conditions, preset road adhesion conditions, and preset weather conditions. The conditions for determining whether the driving state of the vehicle is in the preset driving state include whether the slip rate exceeds the preset slip rate condition, whether the road adhesion coefficient meets the preset road adhesion condition, and whether the weather parameter exceeds the preset weather condition. If at least one of the conditions of the vehicle does not meet the preset threshold condition, it is determined that the vehicle is not in the preset driving state and the torque of the vehicle needs to be adjusted. If the slip rate of the vehicle does not exceed the preset slip rate threshold, the road adhesion coefficient meets the preset road adhesion condition, and the weather parameter does not exceed the preset weather condition, it is determined that the driving state of the vehicle is in the preset driving state and the vehicle is driving normally. The preset driving state of the vehicle can be the vehicle driving state on a sunny day on an urban road, the vehicle accelerating, constant speed, decelerating, etc. on a highway.

[0047] In step S130, if the vehicle driving state is not in the preset driving state, multiple pre-adjustment torques are generated according to the driving data and the current torque of the vehicle, and then a target adjustment torque is generated according to the multiple pre-adjustment torques and the user operation torque to adjust the current torque according to the target adjustment torque.

[0048] In an exemplary embodiment of the present application, multiple pre-adjustment torques include a first pre-adjustment torque, a second pre-adjustment torque and a third pre-adjustment torque. The multiple pre-adjustment torques are generated according to driving data and a current torque of the vehicle, including: generating a first pre-adjustment torque based on a slip rate, a current torque and a slip rate adjustment coefficient; generating a second pre-adjustment torque based on a road adhesion coefficient, a current torque and a road adhesion adjustment coefficient; generating a third pre-adjustment torque based on weather parameters and the current torque.

[0049] Specifically, the first pre-adjustment torque is generated according to the current torque, the slip ratio and the slip ratio adjustment coefficient; the determination expression of the first pre-adjustment torque is as follows (2):

[0050] T1=T*(1-S)*K1 (2)

[0051] In the expression (2), T1 represents the first pre-adjustment torque, T represents the current torque, S represents the slip ratio, and K1 represents the slip ratio adjustment coefficient.

[0052] The second pre-adjustment torque is calculated by the current torque, the road adhesion coefficient and the road adhesion adjustment coefficient. The expression of the second pre-adjustment torque is shown in (3):

[0053] T2=T*K2*μ (3)

[0054] In the expression (3), T2 represents the second pre-adjustment torque, T represents the current torque, μ represents the road adhesion adjustment coefficient, and K2 represents the road adhesion adjustment coefficient.

[0055] In an exemplary embodiment of the present application, the slip ratio adjustment coefficient and the road adhesion adjustment coefficient are adjusted in a manner including: adjusting the slip ratio adjustment coefficient according to the change of the slip ratio within a preset slip ratio range, wherein the slip ratio adjustment coefficient is opposite to the change direction of the slip ratio; adjusting the road adhesion adjustment coefficient according to the change of the road adhesion coefficient, wherein the road adhesion adjustment coefficient is in the same direction as the change of the road adhesion coefficient. Specifically, as shown in expression (2), if the preset slip ratio range of the vehicle is 5% to 60%, the larger the slip ratio, the smaller the slip ratio adjustment coefficient of the vehicle, the smaller the first pre-adjusted torque output, and the vehicle is prone to slippage, so the torque output by the vehicle should be smaller; the smaller the slip ratio, the larger the slip ratio adjustment coefficient of the vehicle, the larger the first pre-adjusted torque output, and the vehicle needs a larger torque to drive the vehicle. As shown in expression (3), when the road adhesion coefficient of the vehicle increases, that is, the friction of the driving road increases and the road condition deteriorates, in order to ensure that the vehicle maintains its original vehicle state, the road adhesion adjustment coefficient is increased to obtain a larger second pre-adjustment torque. When the road adhesion coefficient of the vehicle decreases, that is, the friction of the driving road decreases, the road condition improves or the weather deteriorates, in order to reduce the risk of vehicle abnormality, the road adhesion adjustment coefficient is reduced to obtain a smaller second pre-adjustment torque.

[0056] In an exemplary embodiment of the present application, the third pre-adjustment torque is generated according to the weather parameters and the current torque, including: updating the slip ratio and the road adhesion coefficient according to the weather parameters, and generating the weather adjustment coefficient based on the updated slip ratio and the road adhesion coefficient; determining the third pre-adjustment torque according to the current torque and the weather adjustment coefficient. Specifically, because the slip ratio and the road adhesion coefficient change due to the weather parameters when it rains or snows, the slip ratio and the road adhesion coefficient are updated according to the weather parameters, and then the relevant weather adjustment coefficient is generated according to the updated slip ratio and the road adhesion coefficient, and the third pre-adjustment torque is calculated according to the current torque and the weather adjustment coefficient. The third pre-adjustment torque determination expression is shown in (4):

[0057] T3=T*K3 (4)

[0058] In expression (4), T3 represents the third pre-adjustment torque, T represents the current torque, and K3 represents the weather adjustment coefficient.

[0059] In an exemplary embodiment of the present application, a target adjustment torque is generated based on multiple pre-adjustment torques and user-operated torques, including: determining the values ​​of multiple pre-adjustment torques based on driving data; traversing the first pre-adjustment torque, the second pre-adjustment torque, and the third pre-adjustment torque, and taking one of the multiple pre-adjustment torques as a reference adjustment torque according to a preset torque adjustment condition; determining the target adjustment torque according to the reference adjustment torque, the user-operated torque, and the vehicle torque distribution coefficient. Specifically, the values ​​of the first pre-adjustment torque, the second pre-adjustment torque, and the third pre-adjustment torque are determined based on the specific driving data of the vehicle. For example, when the throttle is started, the multiple pre-adjustment torques are all positive numbers, and when the throttle is not started, the multiple pre-adjustment torques are all negative numbers. The absolute values ​​of the first pre-adjustment torque, the second pre-adjustment torque, and the third pre-adjustment torque are calculated. If the preset torque adjustment condition is to take the minimum value, the minimum value of the multiple pre-adjustment torques is set as the reference adjustment torque, such as Figure 3 As shown, the opening degree of the vehicle's accelerator pedal, the braking torque of the brake pedal, the steering angle output by the steering controller, the driving mode and other information are sent to the controller to determine the user operation torque of the vehicle, and then the target adjustment torque is calculated based on the reference adjustment torque, the user operation torque and the vehicle torque distribution coefficient, and the target adjustment torque is output to the drive motor to adjust the current torque of the vehicle.

[0060] Specifically, the target adjustment torque is determined by the expression (5):

[0061] Tout=(|T1|, |T2|, |T3|)min*Tin*Kp (5)

[0062] In expression (5), Tout represents the target adjustment torque, T1 represents the first pre-adjustment torque, T2 represents the second pre-adjustment torque, T3 represents the third pre-adjustment torque, Tin represents the user operation torque, Kp represents the vehicle torque distribution coefficient, and min represents taking the minimum value.

[0063] In order to improve the customer experience, the vehicle's display device displays that the vehicle is in a torque adaptive adjustment state, and a torque adaptive adjustment switch is provided to the customer.

[0064] The present application provides a method, device, electronic device and medium for adaptive adjustment of vehicle torque, which includes monitoring the driving data of the vehicle, judging whether the vehicle is in a preset driving state from the slip rate, road adhesion coefficient and weather parameters in the driving data, adding torque adjustment parameters, and being applicable to a variety of vehicle driving scenarios; when the vehicle is not in the preset driving state, multiple pre-adjustment torques are generated based on the driving data and current torque of the vehicle, and then a target adjustment torque is generated based on the multiple pre-adjustment torques and user-operated torque to adjust the current torque of the vehicle so that the vehicle outputs the optimal torque and improves the safety of vehicle driving. The present application monitors the driving state of the vehicle from multiple aspects of the driving data, and when the driving state of the vehicle does not reach the ideal state, the optimal torque is generated based on the driving data and the user-operated torque to adjust the torque of the vehicle during driving, reduce the risk of vehicle accidents, and improve the safety of vehicle driving.

[0065] See also Figure 4 , is a vehicle torque adaptive adjustment device shown as an exemplary embodiment of the present invention. Figure 4 As shown, the exemplary vehicle torque adaptive adjustment device includes:

[0066] A monitoring module 410 is used to monitor driving data of the vehicle, the driving data including slip rate, road adhesion coefficient and weather parameters;

[0067] A state determination module 420 is used to determine whether the vehicle driving state is in a preset driving state according to the slip rate, the road adhesion coefficient and the weather parameters and the corresponding preset threshold conditions;

[0068] The torque adjustment module 430 is used to generate a plurality of pre-adjustment torques according to the driving data and the current torque of the vehicle if the vehicle driving state is not in the preset driving state, and then generate a target adjustment torque according to the plurality of pre-adjustment torques and the user operation torque, so as to adjust the current torque according to the target adjustment torque.

[0069] It should be noted that the vehicle torque adaptive adjustment device provided in the above embodiment and the vehicle torque adaptive adjustment method provided in the above embodiment belong to the same concept, wherein the specific manner in which each module and unit performs the operation has been described in detail in the method embodiment, and will not be repeated here. In practical applications, the vehicle torque adaptive adjustment device provided in the above embodiment can allocate the above functions to different functional modules as needed, that is, divide the internal structure of the device into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0070] An embodiment of the present invention also provides an electronic device, comprising: one or more processors; a storage device for storing one or more programs, when the one or more programs are executed by one or more processors, the electronic device implements the vehicle torque adaptive adjustment method provided in the above-mentioned embodiments.

[0071] See also Figure 5 , shows a schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present invention. It should be noted that, Figure 5 The computer system 500 of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0072] like Figure 5 As shown, the computer system 500 includes a central processing unit (CPU) 501, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 502 or the program loaded from the storage part 508 to the random access memory (RAM) 503, such as executing the method in the above embodiment. In the RAM 503, various programs and data required for system operation are also stored. The CPU 501, ROM 502 and RAM 503 are connected to each other through a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0073] The following components are connected to the I / O interface 505: an input section 506 including a keyboard, a mouse, etc.; an output section 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the I / O interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 510 as needed so that a computer program read therefrom is installed into the storage section 508 as needed.

[0074] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention 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 through a communication part 509, and / or installed from a removable medium 511. When the computer program is executed by a central processing unit (CPU) 501, various functions defined in the system of the present invention are executed.

[0075] Another aspect of the present application further provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the vehicle torque adaptive adjustment method described above is implemented. The computer-readable storage medium may be included in the electronic device described in the above embodiment, or may exist independently without being assembled into the electronic device.

[0076] It should be noted that the computer-readable medium shown in the embodiment 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 signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. This propagated data signal can take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. A computer program contained on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0077] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order 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 a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0078] 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. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0079] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by a person of ordinary skill in the art without departing from the spirit and technical ideas disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A vehicle torque adaptive adjustment method, characterized in that: include: Monitoring driving data of the vehicle, the driving data including slip rate, road adhesion coefficient and weather parameters; determining whether the vehicle driving state is in a preset driving state according to the slip rate, the road adhesion coefficient, the weather parameter and corresponding preset threshold conditions; If the vehicle driving state is not in the preset driving state, multiple pre-adjustment torques are generated according to the driving data and the current torque of the vehicle, and then a target adjustment torque is generated according to the multiple pre-adjustment torques and the user operation torque to adjust the current torque according to the target adjustment torque.

2. The vehicle torque adaptive adjustment method according to claim 1, characterized in that: The plurality of pre-adjustment torques include a first pre-adjustment torque, a second pre-adjustment torque, and a third pre-adjustment torque. The plurality of pre-adjustment torques are generated according to the driving data and the current torque of the vehicle, including: generating the first pre-adjustment torque based on the slip ratio, the current torque and a slip ratio adjustment coefficient; generating the second pre-adjustment torque based on the road adhesion coefficient, the current torque and a road adhesion adjustment coefficient; The third pre-adjusted torque is generated according to the weather parameter and the current torque.

3. The vehicle torque adaptive adjustment method according to claim 2, characterized in that: Monitor vehicle driving data, including: Obtain vehicle driving data and environmental data; determining the slip ratio according to the vehicle body speed and the wheel speed in the driving data; Performing scene recognition on the environmental data to obtain a recognition result of the vehicle driving scene; A road adhesion coefficient and weather parameters of the vehicle driving road are determined based on the recognition result and the driving data.

4. The vehicle torque adaptive adjustment method according to claim 3, characterized in that: Performing scene recognition on the environmental data to obtain a recognition result of the vehicle driving scene includes: Extracting features from the environmental data to obtain environmental features in multiple dimensions; Environmental features in different dimensions are matched with corresponding preset environmental features respectively to obtain matching results in multiple dimensions, and the recognition result of the vehicle driving scene is determined according to the matching results in multiple dimensions.

5. The vehicle torque adaptive adjustment method according to claim 2, characterized in that: The adjustment method of the slip rate adjustment coefficient and the road adhesion adjustment coefficient includes: adjusting the slip ratio adjustment coefficient according to a change of the slip ratio within a preset slip ratio range, wherein the slip ratio adjustment coefficient is opposite to the change direction of the slip ratio; The road adhesion adjustment coefficient is adjusted according to the change of the road adhesion coefficient, wherein the road adhesion adjustment coefficient and the road adhesion coefficient change in the same direction.

6. The vehicle torque adaptive adjustment method according to claim 2, characterized in that: Generating the third pre-adjusted torque according to the weather parameter and the current torque includes: updating the slip ratio and the road adhesion coefficient according to the weather parameter, and generating a weather adjustment coefficient based on the updated slip ratio and the road adhesion coefficient; The third pre-adjustment torque is determined according to the current torque and the weather adjustment factor.

7. The vehicle torque adaptive adjustment method according to claim 5, characterized in that: The target adjustment torque is generated according to a plurality of pre-adjustment torques and the user operation torque, including: determining the plurality of pre-adjustment torque values ​​based on the driving data; Traversing the first pre-adjustment torque, the second pre-adjustment torque, and the third pre-adjustment torque, and taking one of the plurality of pre-adjustment torques as a reference adjustment torque according to a preset torque adjustment condition; The target adjustment torque is determined according to the reference adjustment torque, the user operation torque and a vehicle torque distribution coefficient.

8. A vehicle torque adaptive adjustment device, characterized in that: include: A monitoring module, used to monitor driving data of the vehicle, wherein the driving data includes slip rate, road adhesion coefficient and weather parameters; a state determination module, for determining whether the vehicle driving state is in a preset driving state according to the slip rate, the road adhesion coefficient and the weather parameter and corresponding preset threshold conditions; The torque adjustment module is used to generate a plurality of pre-adjustment torques according to the driving data and the current torque of the vehicle if the vehicle driving state is not in the preset driving state, and then generate a target adjustment torque according to the plurality of pre-adjustment torques and the user operation torque, so as to adjust the current torque according to the target adjustment torque.

9. An electronic device, characterized in that: It comprises a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor, the electronic device is triggered to execute the vehicle torque adaptive adjustment method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the vehicle torque adaptive adjustment method according to any one of claims 1 to 7.

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