关键词: 车载电机, 降成本, 响应面模型, 遗传算法, 磁钢形状优化

Abstract: In this paper, how to meet the application requirements and reduce the cost of A00 micro electric vehicle drive motor was studied. Four structural variables of the rotor which determine the shape of the permanent magnet, i.e. the ratio of the inner and outer diameters of the stator and rotor, the distance between the bottom of the center line of the permanent magnet slot and the inner circle of the rotor, the thickness and length of the magnetic steel, were selected as the optimization parameters and independent variables to establish the response surface model between the four variables and the material cost. Genetic algorithm was used to optimize the cost. Through the finite element simulation, the torque and efficiency of the motor before and after optimization were basically unchanged, which showed the effectiveness of the optimization algorithm.

Key words: vehicle motor, cost reduction, response surface model (RSM), genetic algorithm, shape optimization of magnet steel