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作 者:陈云云[1] 全力[1] 朱孝勇[1] 莫丽红[1]
出 处:《中国电机工程学报》2014年第12期1912-1921,共10页Proceedings of the CSEE
基 金:国家自然科学基金项目(51077067;51177065);教育部博士点基金(20113227110002);江苏省自然科学基金项目(BK2011475);江苏省高校优势学科建设工程资助项目~~
摘 要:混合动力汽车(hybrid electric vehicles,HEVs)用新型双凸极永磁双转子电机(double-salient permanent-magnet double-rotor motor,DSPM-DRM)具有两个转子和两层气隙的特殊结构。针对该复杂电机结构,为获得低输出转矩波动和高转矩密度,提出了DSPM-DRM的一种优化设计方法,推导DSPM-DRM的电机尺寸公式,得到初始设计尺寸,建立了DSPM-DRM的参数化模型。以减小输出转矩波动和提高转矩密度为目标,选择气隙和永磁体充磁宽度、极弧等关键尺寸参数作为优化变量,采用遗传控制算法(genetic algorithm,GA)优化调整电机尺寸,设计并制造了一台额定功率为2 kW的实验样机。基于二维有限元法对DSPM-DRM的反电动势、永磁磁链、气隙磁密、定位力矩等电磁特性进行了计算和分析,样机实验结果验证了设计方法和理论分析的正确性,所得结论可以为该电机在HEVs动力混合装置中的应用提供参考。The novel double-salient permanent-magnet double-rotor motor (DSPM-DRM) applied in hybrid electric vehicles (HEVs) has a unique configuration, which involves two rotors and two air gaps. In view of the complex structure of the DSPM-DRM, this paper presented the optimal design of the DSPM-DRM to obtain a low torque ripple and high torque density. The sizing equation was derived and the initial design dimensions were determined. The parametric model of the motor was built up. To reduce the torque ripple and enhance the torque density, design parameters such as air gap, magnetizing width of PM, pole arc were selected as optimal variables. Genetic algorithm (GA), as an optimization design tool was used on the design approach which performed on the DSPM-DRM. A 2 kW prototype motor was designed and built for exemplification. By means of the finite-element method, the electromagnetic performance of the DSPM-DRM was investigated. Both the results of finite-element analysis and experimental are verified the design method and the theoretical analysis, which are helpful to further study the DSPM-DRM using for power hybrid system.
关 键 词:双凸极永磁双转子电机 遗传算法优化设计 有限元分析 电磁特性
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