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Fault Detection via Stability Analysis for the Hybrid Control Unit of HEVs

Authors: Kyogun Chang, Yoon Bok Lee


Fault detection determines faultexistence and detecting time. This paper discusses two layered fault detection methods to enhance the reliability and safety. Two layered fault detection methods consist of fault detection methods of component level controllers and system level controllers. Component level controllers detect faults by using limit checking, model-based detection, and data-driven detection and system level controllers execute detection by stability analysis which can detect unknown changes. System level controllers compare detection results via stability with fault signals from lower level controllers. This paper addresses fault detection methods via stability and suggests fault detection criteria in nonlinear systems. The fault detection method applies tothe hybrid control unit of a military hybrid electric vehicleso that the hybrid control unit can detect faults of the traction motor.

Keywords: Two Layered Fault Detection, Stability Analysis, Fault-Tolerant Control

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[1] Department of Defense, Electronic Reliability Design Handbook, MIL-HDBK-338B, USA, 1998.
[2] H. Yang, B. Jiang and V. Cocquempot, Fault Tolerant Control Design for Hybrid Systems. Springer-Verlag Berlin Heidelberg, 2010.
[3] R. Isermann, Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerance. New York:Springer, 2006, ch.2.
[4] S. Kim, B. Song, and H. Song, "Integrated Fault Detection and Diagnosis System for Longitudinal Control of an Autonomous All-Terrain Vehicle," Int. J. of Auto. Tech., vol. 10, no. 4, 2009, pp. 505-512.
[5] H. J. Marquez, Nonlinear Control Systems : Analysis and Design. New Jersey:Wiley& Sons, Inc. 2003.
[6] H. K. Khalil, Nonlinear Systems, 2nd Ed. New Jersey:Upper Saddle River, 1996.
[7] C.-M. Ong, Dynamic Simulation of Electric Machinery Using MATLAB/SIMULINK. New Jersey:Upper Saddle River, 1998.
[8] H. Nademi, F. Tahami, and M. Rezaei, "Fault Tolerant IPMS Motor Drive Based on Adaptive Backstepping Observer with Unknown Stator Resistance," IEEE , 2008, pp. 1785ÔÇö1790.