Method and system for fault diagnoses of intelligent vehicles

US11780452B2 · kind B2 · utility

Assignee

• CHANG'AN UNIVERSITY · CN

Inventors

• Xiangmo Zhao · Tuji, CN
• Haigen MIN · Xi'an, CN
• Yukun Fang · Tuji, CN
• Xia Wu · Xi'an, CN
• Zhigang Xu · Tuji, CN
• Runmin Wang · Tuji, CN
• Zhanwen Liu · Tuji, CN
• Siyuan Gong · Xi'an, CN
• Yu Zhu · Nanjing, CN
• Wuqi WANG · Tuji, CN
• Chaoyi Cheng · Tuji, CN
• Pengpeng Sun · Tuji, CN
• Zhen Wang · Beijing, CN
• Yuande JIANG · Tuji, CN

Key dates

• Filing date: Mar 8, 2021
• Grant date: Oct 10, 2023
• Expiry date: Oct 23, 2041

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02T10/40
• WIPO field: Transport
• WIPO sector: Mechanical engineering

Abstract

A model of a system of an intelligent vehicle is trained and optimized using system operation data of the intelligent vehicle in a normal running state. The system operation data of the intelligent vehicle in a running state is collected in real time. Sensor data of the system operation data is de-noised, and feature extraction and screening are performed for a fatal sensor fault to reconstruct the system operation data. The reconstructed system operation data is inputted into the trained model to output system state data of the intelligent vehicle in the running state. The system state data is compared with a set threshold. If the system state data exceeds the set threshold, an actuator corresponding to the system state data is determined to have a fault. In addition, a system for a fault diagnosis of the intelligent vehicle is further provided.