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作 者:徐伟[1] 张祎舒 曹辰 黄守道[2] 高剑[2] 王星 高育忠 高晓辉 XU Wei;ZHANG Yishu;CAO Chen;HUANG Shoudao;GAO Jian;WANG Xing;GAO Yuzhong;GAO Xiaohui(State Key Laboratory of Advanced Electromagnetic Engineering and Technology(Huazhong University of Science and Technology),Wuhan 430074,Hubei Province,China;College of Electrical and Information Engineering,Hunan University,Changsha 410082,Hunan Province,China;International Joint Research Center of Central and Eastern European Countries on New Energy Electric Vehicle Technology and Equipment,Xuzhou 221008,Jiangsu Province,China;Lanzhou Electric Corporation,Lanzhou 730314,Gansu Province,China)
机构地区:[1]强电磁工程与新技术国家重点实验室(华中科技大学),湖北省武汉市430074 [2]湖南大学电气与信息工程学院,湖南省长沙市410082 [3]新能源电动车技术与装备中东欧国家国际联合研究中心,江苏省徐州市221008 [4]兰州电机股份有限公司,甘肃省兰州市730314
出 处:《中国电机工程学报》2023年第1期304-317,共14页Proceedings of the CSEE
基 金:国家重点研发计划项目(2018YFE0100200);国家自然科学基金(面上项目)(51877093);湖北省重大科技创新项目(2019AAA026)。
摘 要:因低速大转矩、宽调速范围等优点,定子不对称极混合励磁双凸极电机(hybrid excitation asymmetric stator pole double salient machine,HEASPDSM)近年来受到业界人士的关注。然而,因HEASPDSM定子极间隔角度不等、依靠谐波工作等特点,传统的有限元法和变磁网络模型法很难快速、准确地计算出电机的关键参数及性能指标。为解决该问题,该文提出一种非线性变磁网络模型法,可便捷地计算出HEASPDSM定转子间的互磁导,进而对不同工况下的电机参数及特性进行深入分析。大量仿真和实验及对比分析表明:该方法较好地兼顾了有限元法的准确性、通用性和变磁网络模型法的快速性,可迅速准确地计算出不同工况下HEASPDSM的各种性能参数,为其后续的优化设计及应用拓展奠定了基础。Hybrid excitation asymmetric stator pole double salient machine(HEASPDSM) has been paid great attention by researchers due to the advantages in achieving high torque at low speed and wide working speed range, etc. However, owning to different stator pole interval angle and great dependence on magnetic field harmonics, it is very difficult for the traditional finite element algorithm(FEA) and the conventional varying equivalent magnetic network model(VEMNM) method to get the key machine parameters and performance indexes for the HEASPDSM quickly and accurately at the same time. To solve this problem, one nonlinear varying equivalent magnetic network model(NVEMNM) method is proposed in this paper. By adopting this method, the mutual permeance between stator and rotor magnetic network can be calculated easily. Afterwards, key specifications and performance indexes of the HEASPDSM under different working conditions are fully analyzed. Comprehensive simulation and experimental results together with comparison analysis in theory have demonstrated that the proposed NVEMNM method can get good balance between the accuracy of FEA and rapidity of VEMNM, which can get different parameters and indexes for the HEASPDSM under various working states. It has built up solid foundation for the design optimization on the HEASPDSM, which will accelerate the application and commercialization process in the near future.
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