车用内置式永磁同步电机转矩性能优化设计与研究
Performance Optimization Design and Research of Built-in V-type Permanent Magnet Synchronous Motor
陈德海 1李志远 2赖正贵 2陈志文 2李明2
作者信息
- 1. 江西理工大学 电气工程与自动化学院,江西 赣州 341000;中国科学院 赣江创新研究院,江西 赣州 341000
- 2. 江西理工大学 电气工程与自动化学院,江西 赣州 341000
- 折叠
摘要
为优化电机的转矩性能,从增加电机输出转矩,减小转矩脉动,削弱齿槽转矩出发,对常规电机的转子进行二次设计,得到一种新型转子结构永磁同步电机(New rotor structure per-manent magnet synchronous motor),通过在转子上设计磁障的方式对电机性能进行优化.在优化方面,先利用多参数敏感度分析方法,筛选对电机转矩性能影响较大的结构参数,再利用进化算法(Evolutionary Algorithms)进行优化目标之间的权衡选择,得到优化目标参数的最优解集合.通过有限元法分析对比优化后电机和常规电机的转矩性能,实验结果得到,优化后的输出转矩从83.7Nm提升到85.4Nm,转矩脉动从 14.9%降低到 6.5%,齿槽转矩从0.93mNm降低到 0.72mNm,根据实验结果可验证,该电机的可行性以及优化方法的有效性.
Abstract
In order to optimize the torque performance of the motor,this paper starts from increasing the out-put torque of the motor,reducing the torque pulsation,and weakening the cogging torque,and carries out the secondary design of the rotor of the conventional motor to obtain a new rotor structure permanent magnet synchro-nous motor-NRS-PMSM,which is used to optimize the motor performance by designing a magnetic barrier on the rotor.The performance of the motor is optimized by designing a magnetic barrier on the rotor.In the optimi-zation,the multi-parameter sensitivity analysis method is used to screen the structural parameters that have a lar-ger impact on the torque performance of the motor,and then the Evolutionary Algorithms are used to select the trade-offs between the optimization objectives to obtain the optimal solution set of the optimization objective pa-rameters.The torque performance of the optimized motor and the conventional motor is compared by finite ele-ment method analysis,and the experimental results show that the optimized output torque is increased from 83.7Nm to 85.4Nm,the torque pulsation is reduced from 14.9%to 6.5%,and the cogging torque is reduced from 0.93mNm to 0.72mNm.According to the results,the feasibility of the motor as well as the validity of the opti-mization method can be verified.
关键词
永磁同步电机/多目标敏感度/进化算法/转矩性能Key words
permanent magnet synchronous motor/multi-objective sensitivity/Evolutionary Algorithms/torque performance引用本文复制引用
出版年
2024
NETL
NSTL
万方数据