某新能源车用永磁同步电机啸叫优化

Optimization of Gearbox CLTC Working Condition Efficiency Based on Particle Swarm Algorithm

针对纯电动汽车在25~50km/h车速时出现48阶啸叫问题,文章通过在转子表面开辅助槽减低电磁激励,改善NVH性能并进行转子结构强度校核分析。优化后方案48阶扭矩波动大幅下降,最高工作转速16000r/min下强度安全系数1.46,1.1倍最高工作转速17600r/min下强度安全系数1.6。最后通过实车NVH主观评估满足要求,48阶车内噪声在车速25~60km/h范围内比优化前改善5~10dB。

In order to solve the problem of 48th-order acoustic noise in pure electric vehicles at 25~50km/h,this paper reduces the electromagnetic excitation by opening symmetrical auxiliary grooves on the rotor surface to improve the NVH performance,and then performs the rotor structure strength verification analysis.After the optimization,the 48th order torque ripple is greatly reduced.The strength safety factor is 1.46 at the maximum working speed of 16000r/min,and the strength safety factor is 1.6 at 1.1 times the maximum working speed of 17600r/min.Finally the requirements are met through the NVH subjective evaluation of the actual vehicle,and the Cabin noise of the 48th order is improved by 5~10dB compared with that before the optimization in the range of 25~50km/h.