Demagnetization Fault Diagnosis of the Permanent Magnet Motor for Electric Vehicles Based on Temperature Characteristic Quantity

• Published in: IEEE transactions on transportation electrification Vol. 9; no. 1; pp. 759 - 770
• Main Authors: Meiwei, Zhang, Weili, Li, Haoyue, Tang
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.03.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Air gaps; Back propagation (BP) neural network; Back propagation networks; Demagnetization; Eddy currents; Electric vehicles; Fault diagnosis; Finite element method; Motors; Neural networks; permanent magnet motor; Permanent magnet motors; Permanent magnets; Prediction models; Rotors; Simulation models; Synchronous motors; temperature; Temperature measurement; Thermodynamic properties; Torque

Permanent magnet motors are widely used in the driving system of electric vehicles because of their high power density and small size. However, the permanent magnet motor is prone to demagnetization due to the complex operating environment of electric vehicles and characteristics of permanent magnet...