Abstract：The key issue of suppressing electromagnetic noise of vehicle drive motor by optimizing the structural parameters is how to optimize the various structural parameters in an orderly, efficient and effective manner without sacrificing the motor performance. In this regard, the models of radial electromagnetic force and electromagnetic torque that affect electromagnetic noise and output performance were set as the optimization targets. Sensitivity analysis, screening and classification of structural parameters were carried out based on the key coefficients fitted by polynomial regression. The multi-objective genetic algorithm, response surface method and downhill simplex method were integrated for the hierarchical optimization of structural parameter, and the globality of the optimization results was verified. Under the same optimization environment, the optimization effect, efficiency and method adaptability are improved compared with the single-level optimization. Structural acoustic simulation shows that the electromagnetic noise intensity is suppressed and the sound quality is improved after the hierarchical optimization.
罗玉涛, 卢若皓. 基于结构参数分级优化的电机电磁噪声抑制[J]. 电工技术学报, 2021, 36(14): 2957-2970.
Luo Yutao, Lu Ruohao. Hierarchical Optimization of Structural Parameters for Motor Electromagnetic Noise Suppression. Transactions of China Electrotechnical Society, 2021, 36(14): 2957-2970.
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2021, Vol. 36 
