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电动汽车驱动用分数槽永磁同步电机电磁噪声优化 被引量:3

Electromagnetic Noise Optimization of Fractional-Slot PermanentMagnet Synchronous Motor for Electric Vehicle
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摘要 分数槽永磁同步电机因存在较低阶次的径向电磁力,导致其电磁噪声较大。基于理论分析、Optislang多目标优化平台与Ansys多物理场有限元分析平台,对一台电动汽车驱动用8极36槽永磁同步电机的电磁噪声进行分析和优化。电机的电磁噪声主要是由作用于定子齿上的径向电磁力波使定子铁心振动变形引起,在定子齿顶开辅助槽并对其齿槽参数进行优化,以削弱径向电磁力。建立电机的二维有限元模型,利用Optislang对不同工况下的定子辅助槽及齿槽参数进行多目标优化,计算得到Pareto前沿并从中找到相对最优解。对比分析电机优化前后定子齿部的径向电磁力,将其映射到所对应的三维结构上,利用Ansys计算得到电机优化前后的电磁噪声,并通过样机的噪声试验验证了仿真结果的有效性。 The fractional-slot permanent magnet synchronous motor has high electromagnetic noise due to its lower order radial electromagnetic force.Based on theoretical analysis,Optislang multi-objective optimization platform and Ansys multi-physics-field finite element analysis platform,the electromagnetic noise of an 8-pole 36-slot permanent magnet synchronous motor for electric vehicle is analyzed and optimized.The electromagnetic noise of the motor is mainly caused by the vibration deformation of the stator core caused by the radial electromagnetic force acting on the stator teeth.The radial electromagnetic force is weakened by opening the auxiliary slots on the stator teeth and optimizing the slot parameters.The 2D finite element model of the motor is established,and the parameters of stator auxiliary slots on the stator teeth under different working conditions are optimized by Optislang,the Pareto front is calculated and the relative optimal solution is found.The radial electromagnetic forces of the stator teeth before and after the motor optimization are compared and analyzed,mapped to the corresponding 3D structure,and the electromagnetic noises before and after the motor optimization is calculated by Ansys.The effectiveness of the simulation results is verified by the prototype noise test.
作者 白学森 BAI Xuesen(Xiamen King Long United Automotive Industry Co.,Ltd.,Xiamen 361023,China)
出处 《电机与控制应用》 2022年第6期60-65,共6页 Electric machines & control application
关键词 分数槽永磁同步电机 电磁噪声 多目标优化 PARETO前沿 fractional-slot permanent magnet synchronous motor electromagnetic noise multi-objective optimization Pareto front
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