Application of fault propagation model in EV equipped with SPMSM for fault detection and diagnosis 2019-01-0114
Fault detection and diagnosis (FDD) is an effective tool to guarantee the reliability of the vehicle during the whole automotive safety lifecycle (management, development, production, service and decommissioning). Before exploring the fault diagnosis strategy and fault tolerant control, it is indispensable to dig the fault propagation rule, since it can be used to detect the root reason of the malfunction phenomenon. Especially for a complex system, it will play a significant role in quickly locate the component-level fault for the subsystem-level or system-level failure phenomenon, and further distinguish the specific fault mode for component-level failure phenomenon, according to the unique characteristic of the fault. For surface-mounted permanent magnet synchronous machine (SPMSM) equipped in electric vehicle (EV), there is no lack of publications on the response of component performance in presence of SPMSM faults (such as demagnetization, turn-to-turn and phase-to-phase fault). But there is a blank on how these component faults affect the powertrain subsystem and the whole system of the vehicle, as well as the other components (for example battery) in the same system. So this paper aims to fill the gap through proposing a fault propagation model, which represents the path of fault propagation between hierarchical systems. It can not only be used to explore the propagation law of failures, but also be used to dig the failure causes through failure phenomena. Simulation results show that this model can provide sufficient basis for designing a reliable and robust FDD system.
Hu Jie, Huang Tengfei, Zhang Jiyu
Wuhan Univ. of Technology, General Motors Warren Technical Center