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Proceedings Paper

Fault self-diagnosis designing method of the automotive electronic control system
Author(s): Yangyan Ding; Zhigang Yang; Xiaolin Fu
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Paper Abstract

The fault self-diagnosis system is an important component of an the automotive electronic control system. Designers of automotive electronic control systems urgently require or need a complete understanding of the self-diagnosis designing method of the control system in order to apply it in practice. Aiming at this exigent need, self-diagnosis methods of designing sensors, electronic control unit (ECU), and actuators, which are the three main parts of automotive electronic control systems, are discussed in this paper. According to the fault types and characteristics of commonly used sensors, self-diagnosis designing methods of the sensors are discussed. Then fault diagnosis techniques of sensors utilizing signal detection and analytical redundancy are analysed and summarized respectively, from the viewpoint of the self-diagnosis designing method. Also, problems about failure self-diagnosis of ECU are analyzed here. For different fault types of an ECU, setting up a circuit monitoring method and a self-detection method of the hardware circuit are adopted respectively. Using these two methods mentioned above, a real-time and on-line technique of failure self-diagnosis is presented. Furthermore, the failure self-diagnosis design method of ECU are summarized. Finally, common faults of actuators are analyzed and the general design method of the failure self-diagnosis system is presented. It is suggested that self-diagnosis design methods relative to the failure of automotive electronic control systems can offer a useful approach to designers of control systems.

Paper Details

Date Published: 2 May 2006
PDF: 6 pages
Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60421V (2 May 2006); doi: 10.1117/12.664633
Show Author Affiliations
Yangyan Ding, Chongqing Jiaotong Univ. (China)
Zhigang Yang, Chongqing Jiaotong Univ. (China)
Xiaolin Fu, Chongqing Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 6042:
ICMIT 2005: Control Systems and Robotics

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