中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2015年
4期
979-984
,共6页
进化策略(ES)%轮毂电机%永磁体%有限元分析(FEA)%齿槽转矩%电磁转矩
進化策略(ES)%輪轂電機%永磁體%有限元分析(FEA)%齒槽轉矩%電磁轉矩
진화책략(ES)%륜곡전궤%영자체%유한원분석(FEA)%치조전구%전자전구
evolution strategies(ES)%in-wheel motor%permanent magnets%finite element analysis(FEA)%cogging torque%electromagnetic torque
在永磁电机设计中，永磁体(permanent magnet，PM)作为励磁磁源，其结构、尺寸直接影响电机的性能。进化策略(evolution strategies，ES)是一类仿效自然选择和基因突变的智能优化算法，具有适应性广、鲁棒性好、适用于并行计算等优点。该文将ES引进到永磁电机PM结构的优化设计中，并将有限元分析(finite element analysis，FEA)与ES相结合进行优化设计。以一台8.5 kW的轮毂电机作为优化对象，通过联合ES和FEA对PM结构尺寸进行优化，轮毂电机的齿槽转矩有效减小了81.7%，平均电磁转矩增大了5.3%。
在永磁電機設計中，永磁體(permanent magnet，PM)作為勵磁磁源，其結構、呎吋直接影響電機的性能。進化策略(evolution strategies，ES)是一類倣效自然選擇和基因突變的智能優化算法，具有適應性廣、魯棒性好、適用于併行計算等優點。該文將ES引進到永磁電機PM結構的優化設計中，併將有限元分析(finite element analysis，FEA)與ES相結閤進行優化設計。以一檯8.5 kW的輪轂電機作為優化對象，通過聯閤ES和FEA對PM結構呎吋進行優化，輪轂電機的齒槽轉矩有效減小瞭81.7%，平均電磁轉矩增大瞭5.3%。
재영자전궤설계중，영자체(permanent magnet，PM)작위려자자원，기결구、척촌직접영향전궤적성능。진화책략(evolution strategies，ES)시일류방효자연선택화기인돌변적지능우화산법，구유괄응성엄、로봉성호、괄용우병행계산등우점。해문장ES인진도영자전궤PM결구적우화설계중，병장유한원분석(finite element analysis，FEA)여ES상결합진행우화설계。이일태8.5 kW적륜곡전궤작위우화대상，통과연합ES화FEA대PM결구척촌진행우화，륜곡전궤적치조전구유효감소료81.7%，평균전자전구증대료5.3%。
The permanent magnets (PMs) are the magnetic excitation source in the permanent magnet synchronous motor (PMSM). The shape and sizes of PMs could seriously affect the performance of the PMSM. The evolution strategies (ES) is an intelligent optimization algorithm to imitate the natural selection and gene mutation. It has wide adaptability and strong robustness to solve optimization problem. It is suitable for parallel computation. Taking an 8.5kW in-wheel motor as the optimization object, the shape and sizes of the PMs were optimized by combining use of ES and finite element analysis (FEA). The results show that the cogging torque is effectively reduced by 81.7%. The electromagnetic torque is increased by 5.3%.
