ABSTRACT
This chapter presents a signal-processing-based fault diagnosis scheme for on board fault diagnosis of rotor asymmetry at start-up and idle mode. It describes a simple on-line on-board fault diagnosis of induction motor for Hybrid Electric Vehicles (HEV) at start-up and idle conditions based on reference frame theory. In examining the condition of an electric motor integrated to a HEV, regular rotor fault detection methods become impractical. The integrity of the electric motor in work and passenger vehicles can best be maintained by monitoring its condition frequently on-board the vehicle. By diagnosing the electric machine faults as early as possible, one can prolong the lifetime of the electric machine in HEVs by performing maintenance before a catastrophic failure occurs. Mechanical vibration of the vehicle degrades the fault diagnosis of the electric motor integrated to the HEV. Drive cycle is typically used by independent emissions testing laboratories to validate HEV economy and emissions.
