Method, apparatus, device, and product for handling vehicle faults
By using multimodal sensor fusion technology, combined with existing vehicle microphones and analysis models, faults in the electric drive system of electric vehicles can be identified. This solves the problems of inaccurate identification and increased complexity in traditional methods, and achieves accurate diagnosis and proactive fault mitigation, thereby improving the driving experience and system lifespan.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- VOLKSWAGEN (CHINA) TECHNOLOGY CO LTD
- Filing Date
- 2026-06-05
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to accurately identify mechanical imbalances and electromagnetic faults in electric vehicle drive systems, leading to performance degradation and malfunctions. Furthermore, traditional methods increase system complexity and cost.
By integrating multimodal sensors that combine current, vibration, and acoustic signals, and utilizing existing vehicle microphones and sensors, along with analytical models such as neural networks, the fault types of the electric drive system can be identified, and active control strategies can be implemented to mitigate the faults.
It enables accurate diagnosis and predictive maintenance of electric drive system faults, reduces hardware changes, improves the driving experience, reduces noise interference, and extends system lifespan.
Smart Images
Figure CN122402248A_ABST