Marian Kazimierczuk (Committee Member), Kuldip Rattan (Committee Member), Xiaodong Zhang (Advisor)
Master of Science in Engineering (MSEgr)
Automotive vehicles are becoming increasingly dependent on electric power, and this trend will accelerate. The health of the vehicular electric power generation and storage (EPGS) system is crucial to enhance vehicle safety, fuel economy, and customer satisfaction.
In this research, a state-of-health (SOH) monitoring method is developed for automotive EPGS system, focusing on alternator related faults. Parity relations, characterizing the correlation among EPGS system signals under normal operating conditions, are generated using principal/minor component analysis techniques. Based on a design of structured residuals, the faults under consideration, including shorted diodes, belt slippage, and regulator fault, are successfully detected and isolated. The effectiveness of the diagnostic algorithm is illustrated by using Matlab/Simulink based EPGS Simulation model.
Department or Program
Department of Electrical Engineering
Year Degree Awarded
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