Vehicle control method and vehicle

By acquiring information on the vehicle's inertial motion, wheel motion, and suspension height, and by removing interference components to generate a gravity direction representation, the problem of inaccurate road slope estimation is solved, and stable and safe control under slope conditions is achieved.

CN122354484APending Publication Date: 2026-07-10GREAT WALL MOTOR CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GREAT WALL MOTOR CO LTD
Filing Date
2026-06-09
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

In existing technologies, road slope estimation methods are easily affected by sensor noise and vehicle motion interference, resulting in inaccurate and unstable slope estimation, especially under intense driving conditions where accuracy decreases.

Method used

By acquiring information on the vehicle's inertial motion state, wheel motion state, and suspension height state, the vehicle's own motion interference components are removed, generating a pure gravity direction representation quantity, which is used to accurately estimate road slope and control the vehicle.

Benefits of technology

Without increasing hardware costs, it improves the accuracy and stability of road gradient estimation, thereby enhancing the vehicle's driving stability, safety, and ride comfort under incline conditions.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application discloses a vehicle control method and a vehicle, relating to the field of vehicle control technology. The method includes: acquiring perception information of the target vehicle while it is in motion, the perception information including first information representing the vehicle's inertial motion state, second information representing the wheel motion state, and third information representing the suspension height state; based on the first, second, and third information, removing interference components generated by the vehicle's own motion from the first information to obtain a gravity direction representation quantity; generating a slope estimate of the road where the target vehicle is located based on the first information and the gravity direction representation quantity; and controlling the target vehicle based on the slope estimate to adapt to the current road slope conditions. This application can improve the accuracy of obtaining road slope.
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