微特电机 ›› 2026, Vol. 54 ›› Issue (7): 1-7.

• 理论研究 •    下一篇

不对称永磁辅助磁阻电机转矩脉动抑制研究

白  强1,刘光伟1,熊麒麟2,芮  彬3,梁丙雪4   

  1. 1. 沈阳工业大学 电气工程学院,沈阳 110870; 2. 重庆德马高速装备工程研究院有限公司,重庆 402160; 3. 南京磁谷科技股份有限公司,南京 211102; 4. 沈阳蓝光驱动技术有限公司,沈阳 110179
  • 出版日期:2026-07-28 发布日期:2026-07-28
  • 作者简介:白强( 2001—) ,男,硕士研究生,研究方向为高品质永磁电机和特种电机系统。 刘光伟( 1983—) ,通信作者,男,教授,博士生导师,研究方向为高品质永磁电机和特种电机系统。 熊麒麟(1988—) ,男,研究方向为永磁电机及特种电机控制系统。 芮彬( 1987—) ,男,研究方向为永磁电机及特种电机控制系统。 梁丙雪( 1981—) ,男,研究方向为永磁电机及其控制。

Research on Torque Ripple Suppression of Asymmetric Permanent Magnet Assisted Synchronous Reluctance Motor

BAI Qiang1,LIU Guangwei1, XIONG Qilin2, RUI Bin3, LIANG Bingxue4   

  1. 1. School of Electrical Engineering,Shenyang University of Technology,Shenyang 110870,China;
    2. Chongqing Dema Highway Equipment Engineering Research Institute Co. ,Ltd. ,Chongqing 402160,China; 3. Nanjing Cigu Technology Co. ,Ltd. ,Nanjing 211102,China; 4. Shenyang Blu-ray DriveTechnology Co. ,Ltd. ,Shenyang 110179,China
  • Online:2026-07-28 Published:2026-07-28

摘要: 以降低新能源汽车领域永磁辅助同步磁阻电机的转矩脉动为目标,本文构建了一种具有非对称磁障特征的转子拓扑,利用每极不对称磁障张角实现转矩脉动抑制。 建立电机参数化电磁模型,通过多参数灵敏度分析筛选出对转矩脉动影响显著的关键参数;构建神经网络预测模型,结合 NSGA-Ⅱ算法优化得到低转矩脉动的电机结构方案;再通过调整磁障张角偏转角度对转子结构进一步优化,实现转矩脉动二次抑制;通过有限元仿真对比对称与不对称磁障结构的抑制效果,结果显示电机转矩脉动降低至 2. 22%,由此得出不对称磁障的转子结构可以有效降低电机的转矩脉动的结论。

关键词: 永磁辅助同步磁阻电机, 不对称磁障, 神经网络, 转矩脉动

Abstract: Aiming to reduce torque ripple in permanent magnet-assisted synchronous reluctance motors for new energy vehicles,this paper constructs a rotor topology with asymmetric magnetic barrier characteristics and uses an asymmetric barrier angle per pole to achieve torque ripple suppression. A parameterized electromechanical model of the motor is established, and key parameters significantly affecting torque ripple are screened through multi-parameter sensitivity analysis;subsequently, a neural network prediction model is constructed, and combined with the NSGA-II algorithm to
optimize a motor structure scheme with low torque ripple;by adjusting the deflection angle of the magnetic barrier angle,the rotor structure is further optimized to achieve secondary torque ripple suppression;finite element simulations are conducted to compare the suppression effects of symmetric and asymmetric magnetic barrier structures,the results show that the motor torque ripple is reduced to 2. 22%,from which it can be concluded that a rotor structure with asymmetric magnetic barriers can effectively reduce motor torque ripple.

Key words: permanent magnet-assisted synchronous reluctance motor, asymmetric magnetic barrier, neural network, torque ripple

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