Open Phases Fault Diagnosis of IGBT-based DC-AC Inverter of Electric Vehicle

Nowadays, the power electronic converters play a crucial and undeniable role on electric vehicles propulsion system. One type of this converters are voltage source inverter (VSI) that use a lot in electric motor drives. In electric vehicles, due to the tense environment that is also associated with turbulence, Inverters are always at risk of failure that occasionally caused to irreparable damages. This paper focuses on diagnosis and detection of open phases fault on IGBT based VSI inverter. In order to extract the fault index, an open-circuit fault detection model presented in this work and the results obtained have been satisfactory. In continue, for fault diagnosis and classification, it is used a multilayer perceptron artificial neural network (MPANN) algorithm. The system is investigated under 5 different torque and speed level in static state, that all fault conditions have been identified successfully with the help of MPANN.