CN-122009214-A - Chassis control method and device, electronic equipment and storage medium

CN122009214ACN 122009214 ACN122009214 ACN 122009214ACN-122009214-A

Abstract

The invention provides a chassis control method, a chassis control device, electronic equipment and a storage medium, and relates to the technical field of vehicles. The chassis control method comprises the steps of determining driving style coefficients according to multi-source input information, correcting reference control parameters according to the driving style coefficients to determine target chassis control parameters matched with the driving style and the current driving working condition of a current driver, and uniformly and coordinately controlling at least one chassis subsystem of a vehicle according to the target chassis control parameters. The invention realizes the self-adaptive adjustment of the driving style and the real-time road condition by the driving mode, and enables the vehicle chassis control strategy to be dynamically adjusted along with the driving behavior and the driving environment change without manual intervention of a driver, thereby improving the intelligent level and the user experience in the using process of the vehicle.

Inventors

ZHU BOCHENG
ZHANG LUNWEI
SUN FULU

Assignees

浙江吉利控股集团有限公司
吉利汽车研究院（宁波）有限公司

Dates

Publication Date: 20260512
Application Date: 20260319

Claims (12)

1. A chassis control method, characterized by comprising: determining a driving style coefficient according to multi-source input information, wherein the multi-source input information is used for representing the operation behavior of a driver and the running state of a vehicle; correcting the reference control parameter according to the driving style coefficient to determine a target chassis control parameter matched with the driving style of the current driver and the current driving working condition; And uniformly and coordinately controlling at least one chassis subsystem of the vehicle according to the target chassis control parameters.
2. The chassis control method of claim 1, wherein the determining a driving style factor from the multi-source input information comprises: Determining a driving feature vector according to the multi-source input information; and determining the driving style coefficient according to the driving characteristic vector.
3. The chassis control method of claim 2, wherein the determining a driving feature vector from the multi-source input information comprises: Determining a root mean square value of the steering wheel angular velocity according to the steering wheel angular velocity in a preset time domain window, determining an average value of the accelerator pedal opening change rate according to the accelerator pedal opening change rate in the preset time domain window, determining a maximum value of the transverse acceleration according to the transverse acceleration in the preset time domain window, and determining occurrence times of sudden acceleration events and sudden deceleration events according to the accelerator pedal opening change rate and the brake pedal opening change rate in the preset time domain window, wherein the multi-source input information comprises the steering wheel angular velocity, the accelerator pedal opening change rate, the transverse acceleration and the brake pedal opening change rate; And determining the driving characteristic vector according to the root mean square value of the steering wheel angular velocity, the average value of the accelerator pedal opening change rate, the maximum value of the transverse acceleration and the occurrence times of the sudden acceleration event and the sudden deceleration event.
4. The chassis control method of claim 2, wherein the determining the driving style factor from the driving feature vector comprises: inputting the driving characteristic vector into a driving behavior analysis model; And mapping the driving characteristic vector into the driving style coefficient through a regression function of the driving behavior analysis model, wherein the driving style coefficient is used for representing the intensity or conservation degree of the driving style.
5. The chassis control method of claim 4, wherein the determining the driving style factor from the driving feature vector further comprises: Determining the scores of the driving feature vectors under different preset driving style categories based on the similarity relation between the driving feature vectors and the preset driving style category characteristics; and normalizing the scores to determine probability distribution of the driving feature vector under different preset categories, and taking the category with the highest probability as the classification label of the driving style coefficient.
6. The chassis control method of claim 1, wherein modifying the reference control parameter according to the driving style coefficient to determine a target chassis control parameter that matches the driving style of the current driver and the current driving condition comprises: determining a fine tuning coefficient according to the driving style coefficient; And processing the reference control parameters according to the fine tuning coefficients to obtain the target chassis control parameters.
7. The chassis control method according to claim 1, wherein the correcting the reference control parameter according to the driving style coefficient to determine the target chassis control parameter matching the driving style of the current driver and the current driving condition includes searching a preset chassis control parameter table according to the multidimensional index amount by using the driving style coefficient, the current vehicle speed and the lateral acceleration of the vehicle as the multidimensional index amount.
8. The chassis control method of claim 1, wherein the unified coordination control of at least one chassis subsystem of a vehicle according to the target chassis control parameter comprises: And generating control instructions of at least one chassis subsystem according to the target chassis control parameters, and cooperatively controlling the corresponding chassis subsystems according to the control instructions, wherein the at least one chassis subsystem comprises at least one of a suspension system, a steering system and a vehicle body stabilizing system.
9. The method according to any one of claims 1 to 8, further comprising obtaining cloud control reference information related to a vehicle travel section, and determining the base control parameter based on the cloud control reference information, wherein the cloud control reference information is a chassis control reference parameter generated based on historical travel data of the current driver and/or group travel data of all drivers.
10. A chassis control device, characterized by comprising: the driving style coefficient is determined according to multi-source input information, wherein the multi-source input information is used for representing the operation behavior of a driver and the running state of a vehicle; the second module is used for correcting the reference control parameters according to the driving style coefficient so as to determine target chassis control parameters matched with the driving style of the current driver and the current driving working condition; And the third module is used for carrying out unified coordination control on at least one chassis subsystem of the vehicle according to the target chassis control parameters.
11. An electronic device comprising a memory and a processor; the memory is used for storing a computer program; the processor being adapted to implement the chassis control method according to any one of claims 1 to 9 when executing the computer program.
12. A computer readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when executed by a processor, implements the chassis control method according to any one of claims 1 to 9.

Description

Chassis control method and device, electronic equipment and storage medium Technical Field The present invention relates to the field of vehicle technologies, and in particular, to a chassis control method, a device, an electronic apparatus, and a storage medium. Background With the rapid development of automobile electronic technology and intelligent control technology, a vehicle chassis system gradually evolves from traditional mechanical control to electric control and intelligent, and modern passenger vehicles are commonly provided with various chassis electronic control systems, such as a continuously adjustable damping control system, an electric power steering system and a vehicle body electronic stability system, which are used for improving the control stability, the driving safety and the riding comfort of the vehicle by adjusting parameters such as suspension damping, steering power assisting characteristics, braking force distribution and the like. In the related art, a vehicle chassis control system generally adopts a pre-calibrated fixed control strategy or a limited number of driving modes, a driver needs to manually select a required mode through a physical key or a central control interface, and the system invokes a corresponding parameter calibration value to control according to the selected mode, however, the number of the driving modes is limited, and the driving modes need to be manually operated by the driver, so that driving experience is poor. Disclosure of Invention The invention solves the problem of how to improve driving experience. In order to solve the problems, the invention provides a chassis control method, a chassis control device, electronic equipment and a storage medium. In a first aspect, the present invention provides a chassis control method, including: determining a driving style coefficient according to multi-source input information, wherein the multi-source input information is used for representing the operation behavior of a driver and the running state of a vehicle; correcting the reference control parameter according to the driving style coefficient to determine a target chassis control parameter matched with the driving style of the current driver and the current driving working condition; And uniformly and coordinately controlling at least one chassis subsystem of the vehicle according to the target chassis control parameters. Optionally, the determining the driving style coefficient according to the multi-source input information includes: Determining a driving feature vector according to the multi-source input information; and determining the driving style coefficient according to the driving characteristic vector. Optionally, the determining a driving feature vector according to the multi-source input information includes: Determining a root mean square value of the steering wheel angular velocity according to the steering wheel angular velocity in a preset time domain window, determining an average value of the accelerator pedal opening change rate according to the accelerator pedal opening change rate in the preset time domain window, determining a maximum value of the transverse acceleration according to the transverse acceleration in the preset time domain window, and determining occurrence times of sudden acceleration events and sudden deceleration events according to the accelerator pedal opening change rate and the brake pedal opening change rate in the preset time domain window, wherein the multi-source input information comprises the steering wheel angular velocity, the accelerator pedal opening change rate, the transverse acceleration and the brake pedal opening change rate; And determining the driving characteristic vector according to the root mean square value of the steering wheel angular velocity, the average value of the accelerator pedal opening change rate, the maximum value of the transverse acceleration and the occurrence times of the sudden acceleration event and the sudden deceleration event. Optionally, the determining the driving style coefficient according to the driving feature vector includes: inputting the driving characteristic vector into a driving behavior analysis model; And mapping the driving characteristic vector into the driving style coefficient through a regression function of the driving behavior analysis model, wherein the driving style coefficient is used for representing the intensity or conservation degree of the driving style. Optionally, the determining the driving style coefficient according to the driving feature vector further includes: Determining the scores of the driving feature vectors under different preset driving style categories based on the similarity relation between the driving feature vectors and the preset driving style category characteristics; and normalizing the scores to determine probability distribution of the driving feature vector under different preset categories, and taking the catego