Vehicle abnormality determination method and vehicle
By acquiring vehicle tire operation and noise data, and using a deep learning model to identify the degradation of the contact area caused by tread contamination, the problem of tire pressure monitoring systems being unable to identify the decrease in effective contact area is solved, thereby improving the accuracy of vehicle status determination and driving safety.
CN122402142APending Publication Date: 2026-07-17GREAT 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
- 2026-05-09
- Publication Date
- 2026-07-17
Smart Images
Figure CN122402142A_ABST
Abstract
本公开涉及车辆智能驾驶技术领域，提供了一种车辆异常确定方法及车辆，获取车辆轮胎的运行数据及车辆轮胎的噪声数据，根据运行数据及噪声数据确定目标轮胎特征向量；根据目标轮胎特征向量及目标因果标签确定目标退化值；获取车辆轮胎的实际胎压，根据目标退化值及实际胎压确定车辆轮胎的目标轮胎状态。因目标退化值为车辆轮胎的有效接地面积的退化情况，即目标退化值反映轮胎抓地力情况。因此本公开在确定轮胎是否存在异常时，综合考虑轮胎胎压及轮胎抓地力情况，并在确定车辆轮胎存在异常时输出异常提示信息以提示轮胎存在异常，避免仅确定车辆轮胎胎压，出现因抓地力下降导致轮胎处于伪安全状态，保证了行车安全性，进而提高了用户的用车体验。
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