Method and device for adjusting drivability of vehicle and vehicle

Abstract

The invention provides a method and device for adjusting the drivability of a vehicle and the vehicle. The method comprises the steps that road condition information of a driving road section where the vehicle is located is obtained; determining corresponding drivability calibration parameters according to the road condition information; the drivability of the vehicle is adjusted based on the drivability calibration parameter. By the adoption of the method, the intelligent degree of the vehicle is high, distraction of a driver can be avoided, and therefore driving safety is improved.

Description

Technical Field

[0001] This application relates to the field of vehicle control, and more particularly to a method, apparatus, and vehicle for adjusting vehicle drivability. Background Technology

[0002] With the rapid development of the automotive industry and the increasing demands of consumers for driving experience, vehicle drivability has become one of the important indicators for evaluating vehicle performance. Vehicle drivability calibration involves setting and adjusting relevant parameters such as the powertrain. Drivability calibration determines the vehicle's comfort and sportiness, and the power response when the driver presses the accelerator / pedal pedal under any condition. A quick power response results in a high torque build-up gradient and strong sportiness, but may cause a jerking sensation in congested traffic. A moderate power response results in a low torque build-up gradient and high comfort, but may cause a "delayed feeling" when accelerating in open traffic due to the slower torque response.

[0003] To improve drivability under various road conditions, some vehicles now offer mode selection functions, allowing drivers to manually switch between Sport / Comfort modes or energy recovery levels to adjust driving performance. However, this method requires drivers to manually select and switch modes as needed, lacks automation, and can easily distract and strain the driver, reducing driving safety. Summary of the Invention

[0004] This application provides a method, apparatus, and vehicle for adjusting vehicle drivability to solve the aforementioned technical problems in the prior art.

[0005] According to a first aspect of this application, a method for adjusting vehicle drivability is provided, the method comprising:

[0006] Obtain traffic information for the section of road the vehicle is traveling on;

[0007] Determine the corresponding drivability calibration parameters based on the road condition information;

[0008] The drivability of the vehicle is adjusted based on the drivability calibration parameters.

[0009] In some embodiments, determining the corresponding drivability calibration parameters based on the road condition information further includes:

[0010] Based on the road condition information, obtain the corresponding congestion classification parameters;

[0011] Find the drivability calibration parameters corresponding to the congestion classification parameters.

[0012] In some embodiments, the step of finding the drivability calibration parameter corresponding to the congestion classification parameter further includes:

[0013] Based on the mapping relationship between congestion classification parameters and calibration charts, find the calibration chart corresponding to the congestion classification parameters;

[0014] Retrieve the drivability calibration parameters from the calibration chart you are looking for.

[0015] In some embodiments, the drivability calibration parameters include at least one of target torque, torque filter parameters, PID adjustment parameters, and transmission shift points.

[0016] In some embodiments, the congestion classification parameter includes a congestion level value that is positively correlated with the degree of congestion, and the drivability calibration parameter includes a torque filter parameter / target torque;

[0017] The congestion level value is positively correlated with the corresponding torque filtering parameter; the congestion level value is negatively correlated with the corresponding target torque.

[0018] In some embodiments, adjusting the drivability of the vehicle based on the drivability calibration parameters further includes:

[0019] The drivability calibration parameters are used to update the original drivability calibration parameters of the vehicle in order to adjust the drivability of the vehicle.

[0020] In some embodiments, before adjusting the drivability of the vehicle based on the drivability calibration parameters, the method further includes:

[0021] The vehicle's driving mode is obtained; the driving mode includes a fixed mode and an automatic adjustment mode.

[0022] When the driving mode is automatic adjustment mode, the step of adjusting the drivability of the vehicle based on the drivability calibration parameters is performed.

[0023] In some embodiments, obtaining road condition information for the road segment where the vehicle is traveling includes:

[0024] Obtain traffic information for the route the vehicle is traveling on from navigation information; or

[0025] Traffic information about the road segment where the vehicle is traveling is obtained using radar and / or camera devices.

[0026] According to a second aspect of this application, a device for adjusting vehicle drivability is provided, comprising:

[0027] The road condition information acquisition module is configured to acquire road condition information of the road segment where the vehicle is traveling;

[0028] The calibration parameter determination module is configured to determine the corresponding drivability calibration parameters based on the road condition information.

[0029] A drivability adjustment module is configured to adjust the drivability of the vehicle based on the drivability calibration parameters.

[0030] In some embodiments, the calibration parameter determination module is further configured to obtain the corresponding congestion classification parameter based on the road condition information, and to find the drivability calibration parameter corresponding to the congestion classification parameter.

[0031] In some embodiments, the drivability adjustment module is further configured to update the original drivability calibration parameters of the vehicle using the drivability calibration parameters, so as to adjust the drivability of the vehicle.

[0032] According to a third aspect of this application, a vehicle control device is provided, including a memory and a processor, wherein computer instructions are stored in the memory, and when executed by the processor, the computer instructions cause the aforementioned method for adjusting vehicle drivability to be performed.

[0033] According to a fourth aspect of this application, a vehicle is provided, including the vehicle control device described above.

[0034] According to a fifth aspect of this application, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, causes the method described above for adjusting vehicle drivability to be performed.

[0035] In summary, the method, apparatus, vehicle control device, vehicle, and computer-readable storage medium for adjusting vehicle drivability provided in this application have at least the following beneficial effects:

[0036] By determining the corresponding drivability calibration parameters based on the road condition information of the road segment in which the vehicle is driving, and then adjusting the vehicle's drivability based on the drivability calibration parameters, the adjusted drivability of the vehicle is adapted to the road conditions of the road segment in which the vehicle is driving. Thus, the drivability is automatically and timely adjusted according to the road conditions without the need for manual selection by the driver. It has a high degree of intelligence and can also avoid driver distraction, thereby improving driving safety. Attached Figure Description

[0037] To more clearly illustrate the technical solutions of the specific embodiments of this application, the accompanying drawings used in the specific embodiments will be briefly introduced below in conjunction with the accompanying drawings. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings or solutions can be obtained based on these drawings without creative effort.

[0038] Figure 1 This is a flowchart of a method for adjusting vehicle drivability in one embodiment of this application;

[0039] Figure 2 A graph showing the change in accelerator pedal opening of a vehicle over time;

[0040] Figure 3 The torque variation curves corresponding to different torque filtering parameters;

[0041] Figure 4 This is a schematic diagram showing the connection relationship between the vehicle's T-Box, vehicle infotainment controller, and powertrain controller in one embodiment.

[0042] Figure 5 This is a structural block diagram of a device for adjusting vehicle drivability in one embodiment of this application;

[0043] Figure 6 This is a structural diagram of a vehicle control device provided for an embodiment of this application. Detailed Implementation

[0044] To make the above and other features and advantages of this application clearer, the application is further described below with reference to the accompanying drawings. It should be understood that the specific embodiments given herein are for the purpose of explanation to those skilled in the art, and are exemplary only, not restrictive.

[0045] In the following description, numerous specific details are set forth to provide a thorough understanding of this application. However, it will be apparent to those skilled in the art that the specific details are not required to practice this application. In other instances, well-known steps or operations have not been described in detail to avoid obscuring this application.

[0046] The method for adjusting vehicle drivability provided in this application embodiment can be executed by the device for adjusting vehicle drivability provided in this application embodiment, which can be configured in a vehicle control device. The vehicle control device can be a vehicle control unit or a powertrain controller; for example, the powertrain controller can be an engine controller or transmission controller for a gasoline vehicle, or a motor controller for an electric vehicle.

[0047] like Figure 1 As shown, this application provides a method for adjusting vehicle drivability, including the following steps S110 to S150.

[0048] S110: Obtain road condition information for the section of road the vehicle is traveling on.

[0049] Traffic information includes data characterizing traffic congestion, such as vehicle density. Specifically, it can be obtained from real-time navigation information, environmental perception information from the vehicle's environmental perception system, or traffic information from other devices.

[0050] S130: Determine the corresponding drivability calibration parameters based on road condition information.

[0051] Among them, drivability calibration parameters are parameters used to calibrate the drivability of a vehicle. Specifically, drivability calibration parameters include at least one of the following: target torque, torque filter parameters, PID (Proportional-Integral-Derivative Control) adjustment parameters, and transmission shift points.

[0052] Among them, target torque refers to the engine target torque or motor target torque, which is the set torque that the engine / motor needs to achieve. This can be achieved by the driver operating the accelerator pedal / electric pedal. Torque filter parameters are the parameters used for torque filtering to control how quickly the target torque is reached. The smaller the torque filter parameters, the larger the established torque gradient, and the faster the target torque is reached. PID control parameters are the parameters used for the vehicle's PID control, and may include P parameters, I parameters, and D parameters. It is understood that drivability calibration parameters may also include others, and this application does not limit them.

[0053] S150: Adjusts the vehicle's drivability based on drivability calibration parameters.

[0054] The vehicle's drivability is adjusted according to the drivability calibration parameters determined in step S130, so that the adjusted drivability is suitable for the road conditions of the segment in which the vehicle is traveling. Specifically, if the vehicle driving device using this method is a powertrain controller, the powertrain controller adjusts the vehicle's drivability calibration parameters based on the currently determined drivability calibration parameters to adjust the vehicle's drivability. If the vehicle driving device using this method is a vehicle infotainment system controller, the vehicle infotainment system controller can send adjustment commands to the powertrain controller based on the drivability calibration parameters, and the powertrain controller adjusts the vehicle's drivability in response to the adjustment commands.

[0055] The above-mentioned method for adjusting vehicle drivability determines the corresponding drivability calibration parameters based on the road condition information of the road segment in which the vehicle is driving, and then adjusts the vehicle's drivability based on the drivability calibration parameters so that the adjusted vehicle drivability is suitable for the road conditions of the road segment in which the vehicle is driving. Thus, the drivability is automatically and timely adjusted according to the road conditions without the need for manual selection by the driver. It has a high degree of intelligence and can also avoid driver distraction, thereby improving driving safety.

[0056] In one embodiment, step S110 includes: obtaining road condition information of the road segment where the vehicle is traveling from the navigation information.

[0057] Navigation information can be obtained through GNSS (Global Navigation Satellite System), and this information includes traffic conditions. Obtaining traffic information from navigation data is convenient, fast, and accurate.

[0058] Specifically, navigation information can be obtained through the vehicle's T-Box (Telematics Box). The T-Box transmits the navigation information to the vehicle control unit via CAN, Ethernet, or the vehicle gateway. The vehicle control unit then obtains the road condition information of the segment where the vehicle is traveling from the navigation information.

[0059] In another embodiment, step S110 includes: acquiring road condition information of the road segment where the vehicle is traveling based on radar and / or camera devices.

[0060] Specifically, radar and / or camera devices belong to the vehicle perception system. Radar and / or camera devices are installed at the front of the vehicle body, around the vehicle body, etc. Based on the information collected by radar and / or camera devices, information about the driving environment around the vehicle can be obtained, and road condition information can be determined based on the driving environment information using known technologies.

[0061] In one embodiment, step S130 includes step (a1) and step (a2).

[0062] Step (a1): Obtain the corresponding congestion classification parameters based on road condition information.

[0063] The congestion classification parameter represents the level of congestion. For example, the congestion classification parameter can include different congestion level values, with higher values ​​indicating greater congestion. Examples include 0, 1, 2, 3, or many other levels. A value of 0 represents level 0: smooth (no congestion), a value of 1 represents level 1: moderate congestion, a value of 2 represents level 2: very congested, and a value of 3 represents level 3: extremely congested. It is understood that the congestion classification parameter can also be represented in other data formats, which this application does not limit.

[0064] Specifically, the data representing traffic congestion in the road condition information can be compared with the grading thresholds used for congestion classification to determine the corresponding congestion analysis parameters. For example, the traffic density in the road condition information can be compared sequentially with multiple grading thresholds. If the traffic density is greater than the first grading threshold used to distinguish between level 0 and level 1, and less than the second grading threshold used to distinguish between level 1 and level 2, then the congestion classification parameter is level 1, and the corresponding congestion classification parameter is the value 1.

[0065] Step (a2): Locate the drivability calibration parameters corresponding to the congestion level parameters.

[0066] By determining congestion classification parameters based on road condition information, congestion can be finely classified. Different congestion classification parameters correspond to different drivability calibration parameters. Thus, different drivability calibration parameters are used to adjust the drivability for different congestion levels, so that the vehicle's drivability is accurately adapted to the road conditions. More precise drivability adjustment can improve the driving experience.

[0067] In one embodiment, step (a2) includes: finding the calibration chart corresponding to the congestion classification parameter based on the mapping relationship between the congestion classification parameter and the calibration chart; and obtaining the drivability calibration parameter in the found calibration chart.

[0068] The mapping relationship between congestion classification parameters and calibration charts can be pre-established. For example, a table showing the relationship between congestion analysis parameters and calibration charts can be pre-stored, recording the calibration chart corresponding to each congestion analysis parameter. Specifically, the calibration charts include drivability calibration parameters. The drivability calibration parameters in the calibration charts are obtained by searching for the calibration charts corresponding to the congestion classification parameters, a simple process.

[0069] Specifically, in one embodiment, the congestion classification parameters include congestion level values ​​that are positively correlated with the degree of congestion. The greater the congestion, the higher the congestion level value. For example, there are multiple congestion level values: 0, 1, 2, and 3, representing smooth traffic, moderate congestion, very congestion, and extreme congestion, respectively. The drivability calibration parameters include torque filtering parameters and / or target torque. Specifically, the congestion level value is positively correlated with the corresponding torque filtering parameter; the congestion level value is negatively correlated with the corresponding target torque.

[0070] The congestion level is positively correlated with the corresponding torque filter parameter. That is, the higher the congestion level, the more congested the traffic, and the larger the corresponding torque filter parameter. This results in a smaller torque gradient to reach the target torque, meaning it takes longer to reach the target torque. Therefore, the drivability is adjusted according to the torque filter parameter, making the drivability more relaxed as road conditions worsen. For example... Figure 2 The curve showing the change in accelerator pedal opening over time during the driver's pressing and rebounding of the accelerator pedal. Figure 2 The torque variation curves under the torque filter parameters for two road conditions with the same accelerator pedal opening, with a congestion level of 0 (smooth) and a congestion level of 2 (very congested), are shown below. Figure 3 As shown, the curve corresponding to a congestion level of 0 (smooth flow) is the dynamic curve, and the curve corresponding to a congestion level of 2 is the comfort curve. The dynamic curve has a smaller torque filter parameter, a larger gradient to reach the target torque, and reaches the target torque faster, resulting in a more dynamic driving experience. The comfort curve has a larger torque filter parameter, a smaller gradient to reach the target torque, and reaches the target torque slower, resulting in a more comfortable driving experience.

[0071] In one embodiment, step S150 includes: updating the original driving performance calibration parameters of the vehicle using driving performance calibration parameters to adjust the driving performance of the vehicle.

[0072] Specifically, the driving performance calibration parameters determined in step S130 are used to replace the original driving performance calibration parameters of the vehicle, so that the vehicle adopts the new driving performance calibration parameters for driving performance calibration, so that the driving performance can flexibly adapt to the current road conditions and the driving experience is better.

[0073] In one embodiment, prior to step S150, the method for adjusting vehicle drivability further includes a mode analysis step: obtaining the vehicle's driving mode, wherein the driving mode includes a fixed mode and an automatic adjustment mode; when the driving mode is the automatic adjustment mode, step S150 is executed.

[0074] The vehicle's driving mode can be selected and set by the user. Selecting a fixed mode indicates that driving adjustments are not accepted, while selecting an automatic adjustment mode indicates that driving adjustments are accepted. Specifically, if the driving mode is a fixed mode, step S150 is not executed. It can be understood that the execution order of the mode analysis step with steps S110 and S130 is not limited. High flexibility is achieved through selective adjustment based on the user-set driving mode.

[0075] refer to Figure 4 The vehicle's T-Box (Telematics Box) and vehicle controller ( Figure 4 CRRC's engine control unit (ECU) and powertrain controller ( Figure 4 The vehicle's powertrain control ECUs (Electronic Control Units) are connected via CAN, Ethernet, or the vehicle gateway. In one embodiment, the method for adjusting vehicle drivability is applied to the vehicle's infotainment system controller (VDC). The vehicle's telematics box acquires navigation information and transmits it to the VDC. The VDC obtains road condition information for the route the vehicle is traveling on from the navigation information, determines corresponding drivability calibration parameters based on the road condition information, and sends adjustment commands to the powertrain controller based on the drivability calibration parameters. The powertrain controller adjusts the vehicle's drivability in response to the adjustment commands. In another embodiment, the method for adjusting vehicle drivability is applied to the powertrain controller. The vehicle's telematics box acquires navigation information and transmits it to the VDC. The VDC obtains road condition information for the route the vehicle is traveling on from the navigation information and sends it to the powertrain controller. The powertrain controller determines corresponding drivability calibration parameters and updates the vehicle's drivability calibration parameters to the currently determined drivability calibration parameters to adjust the vehicle's drivability.

[0076] This application provides a device for adjusting the drivability of a vehicle, such as... Figure 5 As shown, the device includes a road condition information acquisition module 510, a calibration parameter determination module 530, and a drivability adjustment module 550.

[0077] The road condition information acquisition module 510 is configured to acquire road condition information of the road segment where the vehicle is traveling; the calibration parameter determination module 530 is configured to determine the corresponding drivability calibration parameters based on the road condition information; and the drivability adjustment module 550 is configured to adjust the drivability of the vehicle based on the drivability calibration parameters.

[0078] In one embodiment, the drivability calibration parameters include at least one of target torque, torque filter parameters, PID (Proportional-Integral-Derivative Control) adjustment parameters, and transmission shift points.

[0079] In one embodiment, the traffic information acquisition module 510 is configured to acquire traffic information of the road segment in which the vehicle is traveling from navigation information, or to acquire traffic information of the road segment in which the vehicle is traveling based on radar and / or camera devices.

[0080] In one embodiment, the calibration parameter determination module 530 is further configured to obtain the corresponding congestion classification parameter based on road condition information and find the drivability calibration parameter corresponding to the congestion classification parameter.

[0081] In one embodiment, the calibration parameter determination module 530 searches for the drivability calibration parameters corresponding to the congestion level parameters, including: searching for the calibration chart corresponding to the congestion level parameters according to the mapping relationship between the congestion level parameters and the calibration chart; and obtaining the drivability calibration parameters in the searched calibration chart.

[0082] In one embodiment, the drivability adjustment module 550 is further configured to update the original drivability calibration parameters of the vehicle using drivability calibration parameters in order to adjust the drivability of the vehicle.

[0083] In one embodiment, the device for adjusting vehicle drivability further includes a mode analysis module for acquiring the vehicle's driving mode before the drivability adjustment module 550 adjusts the vehicle's drivability, wherein the driving mode includes a fixed mode and an automatic adjustment mode; when the driving mode is the automatic adjustment mode, the drivability adjustment module 550 performs the corresponding function.

[0084] It should be understood that the specific features, operations, and details described above with respect to the method of this application can also be similarly applied to the apparatus of this application, or vice versa. Furthermore, each step of the method of this application described above can be performed by a corresponding component or unit of the apparatus of this application.

[0085] It should be understood that the various modules / units of the device of this application can be implemented wholly or partially through software, hardware, firmware, or a combination thereof. Each module / unit can be embedded in the processor of the vehicle control device in hardware or firmware form or independent of the processor, or it can be stored in the memory of the vehicle control device in software form for the processor to call to execute the operation of each module / unit. Each module / unit can be implemented as an independent component or module, or two or more modules / units can be implemented as a single component or module.

[0086] like Figure 6 As shown, this application provides a vehicle control device 600, which is a vehicle control system controller or a powertrain controller. The vehicle control device 600 includes a memory 601 and a processor 602. The memory 601 stores computer instructions, which, when executed by the processor 602, implement the steps of the method for adjusting vehicle drivability described above.

[0087] In one embodiment, the vehicle control device 600 may include a processor, memory, network interface, communication interface, etc., connected via a system bus. The processor of the vehicle control device 600 can provide the necessary computing, processing, and / or control capabilities. The memory of the vehicle control device 600 may include non-volatile storage media and internal memory. The non-volatile storage media may store an operating system, computer programs, etc. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface and communication interface of the vehicle control device 600 can be used to connect and communicate with external devices via a network. When the computer program is executed by the processor, it performs the steps of the method of this application.

[0088] In addition, this application provides a vehicle including a vehicle control device 600.

[0089] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method for adjusting vehicle drivability.

[0090] Those skilled in the art will understand that the method steps of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-transitory computer-readable storage medium, and its execution causes the steps of this application to be performed. Depending on the context, any reference herein to memory, storage, or other media may include non-volatile or volatile memory. Examples of non-volatile memory include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid-state drive, etc. Examples of volatile memory include random access memory (RAM), external cache memory, etc.

[0091] The technical features described above can be combined arbitrarily. Although not all possible combinations of these technical features are described, any combination of these technical features should be considered to be covered by this specification, provided that such combination does not contain contradictions.

[0092] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A method for adjusting vehicle drivability, characterized in that, The method includes: Obtain traffic information for the section of road the vehicle is traveling on; Determine the corresponding drivability calibration parameters based on the road condition information; The drivability of the vehicle is adjusted based on the drivability calibration parameters.

2. The method according to claim 1, characterized in that, The step of determining the corresponding drivability calibration parameters based on the road condition information further includes: Based on the road condition information, obtain the corresponding congestion classification parameters; Find the drivability calibration parameters corresponding to the congestion classification parameters.

3. The method according to claim 2, characterized in that, The step of finding the drivability calibration parameter corresponding to the congestion classification parameter further includes: Based on the mapping relationship between congestion classification parameters and calibration charts, find the calibration chart corresponding to the congestion classification parameters; Retrieve the drivability calibration parameters from the calibration chart you are looking for.

4. The method according to claim 2, characterized in that, The drivability calibration parameters include at least one of the following: target torque, torque filter parameters, PID adjustment parameters, and transmission shift points.

5. The method according to claim 4, characterized in that, The congestion classification parameters include congestion level values ​​that are positively correlated with the degree of congestion, and the drivability calibration parameters include torque filtering parameters. The congestion level value is positively correlated with the corresponding torque filtering parameter.

6. The method according to any one of claims 1-5, characterized in that, Adjusting the drivability of the vehicle based on the drivability calibration parameters further includes: The drivability calibration parameters are used to update the original drivability calibration parameters of the vehicle in order to adjust the drivability of the vehicle.

7. The method according to claim 1, characterized in that, Before adjusting the drivability of the vehicle based on the drivability calibration parameters, the method further includes: The vehicle's driving mode is obtained; the driving mode includes a fixed mode and an automatic adjustment mode. When the driving mode is automatic adjustment mode, the step of adjusting the drivability of the vehicle based on the drivability calibration parameters is performed.

8. The method according to claim 1, characterized in that, The acquisition of road condition information for the segment where the vehicle is traveling includes: Obtain traffic information for the route the vehicle is traveling on from navigation information; or Traffic information about the road segment where the vehicle is traveling is obtained using radar and / or camera devices.

9. A device for adjusting vehicle drivability, characterized in that, The device includes: The road condition information acquisition module is configured to acquire road condition information of the road segment where the vehicle is traveling; The calibration parameter determination module is configured to determine the corresponding drivability calibration parameters based on the road condition information. A drivability adjustment module is configured to adjust the drivability of the vehicle based on the drivability calibration parameters.

10. The apparatus according to claim 9, characterized in that, The calibration parameter determination module is further configured to obtain the corresponding congestion classification parameters based on the road condition information, and to find the driving performance calibration parameters corresponding to the congestion classification parameters.

11. The apparatus according to claim 9 or 10, characterized in that, The drivability adjustment module is further configured to update the original drivability calibration parameters of the vehicle using the drivability calibration parameters, so as to adjust the drivability of the vehicle.

12. A vehicle control device, comprising a memory and a processor, wherein the memory stores computer instructions, characterized in that, When executed by the processor, the computer instructions cause the method for adjusting vehicle drivability as described in any one of claims 1-8 to be performed.

13. A vehicle, characterized in that, Includes the vehicle control device according to claim 12.

14. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program causes the method for adjusting vehicle drivability according to any one of claims 1-8 to be performed.

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