车用高速永磁同步电机电磁结构多目标优化  

Multi-objective Optimization of Electromagnetic Structure of High-Speed Permanent Magnet Synchronous Motor for Vehicles

作　　者：鲍玉志 程远雄[1] 田京坤 BAO Yuzhi;CHENG Yuanxiong;TIAN Jingkun(School of Mechanical Science&Engineering,Huazhong University of Science and Technology,Wuhan Hubei 430070,China)

机构地区：[1]华中科技大学机械科学与工程学院,湖北武汉430070

出　　处：《机床与液压》2024年第20期42-47,共6页Machine Tool & Hydraulics

摘　　要：高速永磁同步电机是电动汽车驱动技术竞争的焦点。高速电机对动态性能提出了更高要求,针对电磁结构参数对电机各方面性能影响的复杂性,将多目标智能优化算法应用到电磁结构参数设计中。以提高转矩、减小转矩波动和降低定子铁芯损耗为设计目标,以定子齿槽结构等参数为设计变量,采用电磁场有限元及响应面法,利用拉丁超立方采样和电磁仿真获取25组数据,构建了优化代理模型来拟合优化变量与电机性能参数之间的映射关系;利用多目标粒子群算法开展了结构参数优化。结果表明:电机的输出转矩得到了有效提升,同时转矩波动和铁芯损耗均有明显降低。High-speed permanent magnet synchronous motor is the focus of competition in electric vehicle driving technology.High-speed motors have more stringent requirements for dynamic performance.Aiming at the complexity of electromagnetic structure parameters′influence on motor performance,the multi-objective intelligent optimization algorithm was employed in the design of electromagnetic structure parameters.To upgrade the torque performance,reduce the torque fluctuation and reduce the loss of the stator core,taking the stator groove structure as the design variables the electromagnetic finite element and response surface method were used,using Latin hypercube sampling and electromagnetic simulation to obtain 25 sets of data,the optimization proxy model was constructed to fit the mapping relationship between the optimization variables and the motor performance parameters.The multi-objective particle swarm algorithm was used to optimize the structural parameters.The results show that the output torque of the motor is effectively improved,and the torque fluctuation and core loss are significantly reduced.

关 键 词：高速永磁同步电机 响应面法 粒子群算法 多目标优化 

分 类 号：TM341[电气工程—电机]