关键词: 车用驱动电机, 内置式永磁同步电机, 差分进化算法, 帕累托算法, 自动智能优化

Abstract:

An intelligent automatic optimization method based on finite element analysis, differential evolution and pareto algorithm was proposed to overcome the shortcomings of the traditional optimization algorithm in multivariable and multi-objective optimization. In a case study, an IPMSM was optimized. It is shown that a series of optimization results given by this algorithm was not worse than the optimization results given by manual optimization, and they were all conform to the requirements of the optimization. The proposed optimization method could make it easier to select a best optimization result by giving a very clear view about distribution of the optimization results in the objective plane. And the optimization method, which is time-saving compared with the manual optimization, could improve the efficiency and quality of the motor design.

Key words: vehicle drive motor, interior permanent magnet synchronous motor (IPMSM), differential evolution algorithm, pareto algorithm, intelligent automatic optimization