Multi-objective optimization of electromagnetic noise of V-type permanent magnet synchronous motor of electric vehicle based on Genetic Algorithm

In order to solve the problem of electromagnetic vibration and noise caused by torque ripple, cogging torque and radial electromagnetic force of V-type permanent magnet synchronous motor for vehicle, a multi-objective optimization method of electric vehicle drive motor based on genetic algorithm is proposed in this paper to improve the electromagnetic vibration and noise level of the motor. Firstly, the finite element model of the target motor is established, and the electromagnetic force characteristics are deduced and analyzed. Then genetic algorithm is used to optimize the Angle of V-shaped magnetic pole, the length and width of magnetic bridge and the thickness of permanent magnet to obtain the best comprehensive performance of the motor. Finally, the electromagnetic vibration noise characteristics of the motor before and after optimization are obtained through simulation analysis. The comparison shows that the maximum amplitude of the motor after optimization is reduced by 27.4%, and the electromagnetic noise is reduced by 6.9 dBA under rated working conditions and 9.1 dBA under full speed working conditions. The experimental results are basically consistent with the simulation results. The results show that the multi-objective genetic algorithm optimization method used in this paper is accurate and feasible to optimize the design of V-type permanent magnet synchronous motor, and provides a reference value for the performance optimization of electric vehicle drive motor.