Early Intermittent Interturn Fault Detection and Localization for a Permanent Magnet Synchronous Motor of Electrical Vehicles Using Wavelet Transform

Najla Haje Obeid (1) , Alexandre Battiston (1) , Thierry Boileau (2) , Babak Nahid-Mobarakeh (2)

1 IFPEN - IFP Energies nouvelles
2 GREEN - Groupe de Recherche en Electrotechnique et Electronique de Nancy

In order to improve hybrid and electrical vehicles functional safety and to avoid sudden failures, it is important to develop reliable and robust on-board diagnostics (OBD). This paper discusses the stator incipient fault diagnosis and monitoring of a permanent magnet synchronous motor for hybrid and electrical vehicles. Incipient stator fault appears as intermittent interturn faults. Studying this phenomenon had shown that it generates specific distortions in the statoric currents as well as in the reference voltages. The fault monitoring method is based on the identification of these specific distortions and on the localization of the phase containing the defected turns. The theoretical and the experimental results show the effectiveness of the method.

Mots clés: fault detection; fault localization; incipient fault; intermittent fault; interturn fault; pattern detection; prevention; adapted wavelet; fault detection; fault localization; intermittent fault; inter-turn fault; pattern; detection; prevention

Domaines: Energie électrique

Najla Haje Obeid, Alexandre Battiston, Thierry Boileau, Babak Nahid-Mobarakeh. Early Intermittent Interturn Fault Detection and Localization for a Permanent Magnet Synchronous Motor of Electrical Vehicles Using Wavelet Transform. IEEE Transactions on Transportation Electrification, 2017, 3 (3), pp.694 - 702. ⟨10.1109/TTE.2017.2743419⟩. ⟨hal-01739985⟩