用于车轮异常状态监测的方法、监测装置及车辆
By acquiring wheel acceleration signals and performing filtering and information entropy analysis, the problem of difficult detection of abnormal wheel bounce was solved, enabling real-time assessment and early warning of abnormal wheel conditions, thus improving driving safety and fuel efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- AUTOMOBILE RES INST OF TSINGHUA UNIV IN SUZHOU XIANGCHENG
- Filing Date
- 2023-10-26
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot monitor abnormal wheel movement in real time, leading to driving safety hazards. In particular, abnormal tire wear and increased vehicle fuel consumption caused by suspension assembly problems are difficult for drivers to detect.
By acquiring the vertical acceleration of the wheels, calculating the centrifugal acceleration and rotational speed, processing the acceleration signal using bandpass filtering and wavelet basis functions, evaluating tire bounce using the root mean square and power spectrum information entropy, and judging axle anomalies by combining axial acceleration, the accuracy of the whole vehicle fusion judgment is improved.
It enables real-time monitoring of abnormal wheel conditions, allowing for timely detection of abnormal tire bounce and suspension problems, thereby improving driving safety and fuel efficiency.
Smart Images
Figure CN117341610B_ABST