基于磁链观测的永磁同步电机在线退磁故障诊断

IPMSM with superior performance is gradually becoming the first choice for drive motors in the electric vehicle field, but on-board motors often face complex road conditions, complicated acceleration and deceleration, sudden addition and reduction of load and other operating conditions, and the motor is prone to high temperature internally, and the permanent magnet may undergo a certain degree of demagnetization fault, which seriously affects the operation quality of electric vehicles. In this paper, the permanent magnet magnetic chain as a fault feature of demagnetization fault, the EKF-based permanent magnet magnetic chain observation algorithm is proposed, the parameter sensitivity of the algorithm is analyzed, the d-q inductance discrimination algorithm based on the signal injection method is proposed, and the simulation verifies the effect of the EKF-based permanent magnet magnetic chain observation algorithm, signal injection inductance discrimination and online demagnetization fault diagnosis based on magnetic chain observation.