An Artificial Intelligence Based Fault Monitoring of Power Trains: Design & Implementation

In order to diagnose the electric vehicle’s propulsion operational conditions, an on-board health monitoring system (HMS), is necessarily proposed. For the purpose of providing many fault conditions of voltage source inverters with a reliable, efficient and simple fault detection, a proposed technique is demonstrated in this paper. The full diagnostic system oversees the whole vehicle. Based on blende clustering with artificial intelligence method, which compares the actual VSI output voltage with the reference gate-driving signal. Simulation and laboratory prototype results are presented to validate the proposed methodology.