Entropy-Based Diagnosis Method for Open-Circuit Fault of an Inverter Supplying Wound Rotor Synchronous Machine of Electric Vehicle Powertrain

This paper presents an entropy-based method for diagnosing open-circuit faults in inverters used in electric vehicle powertrains. The method is validated through simulation to assess its real-time implementation feasibility. Initially, the circuit topology of the inverter in the simulation is modified to introduce various open-circuit faults before reaching a constant speed, generating unsteady current fault signals. Subsequently, the fuzzy and slope entropy algorithms are applied to calculate the three-phase currents, and the resulting entropy values are utilized to identify and classify the four open-circuit faults and one healthy mode. The comparative analysis demonstrates the favorable performance of both entropy algorithms. Based on 120 sets of simulated data, the slope entropy algorithm achieves an accuracy rate of 98.33%, while the fuzzy entropy algorithm achieves a high accuracy rate of 100%. Moreover, online validation confirms that both algorithms exhibit sufficient runtime, with the slope entropy algorithm exhibiting faster execution speed.