Design and multi-object optimisation of axial flux interior PMSM for EV and HEV applications

作     者：Qixu Chen Deliang Liang Yibin Liu Qingshan Wang 

作者机构：State Key Laboratory Electrical Insulation and Power Equipment Xi'an Jiaotong University Xi'an Shaanxi 710049 China 

出 版 物：《The Journal of Engineering》 

年 卷 期：2017年第2017卷第13期

页      面：2215-2220页

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 

主　　题：permanent magnet motors permanent magnet machines hybrid electric vehicles synchronous motors magnetic circuits synchronous machines optimisation permanent magnets finite element analysis machine control magnetic flux different magnetic circuit branches multicriteria optimisation process design optimum design multiobject function output power objective functions specific application requirements different objective function total objective function axial flux interior PMSM axial flux interior permanent magnet synchronous machine multiobject optimisation design electromagnetic power AFIPMSM main pole leakage pole flux barrier equivalent magnetic circuit model magnetic reluctances 

摘      要：A new type of axial flux interior permanent magnet synchronous machine (AFIPMSM) is introduced in the study, and then multi-object optimisation design about electromagnetic power and efficiency is fulfilled. First of all, a new type of AFIPMSM is designed by adding main pole, leakage pole and flux barrier. Equivalent magnetic circuit model is established. Magnetic reluctances and flux corresponding to the different magnetic circuit branches are calculated. Finally, a multi-criteria optimisation process is applied to determine a design optimum. The design multi-object function introduced in this study is to maximise the output power and to maximise efficiency. A single variable considered in calculating the objective functions is the ratio of outer-to-inner diameter. In order to satisfy the specific application requirements, weight coefficient is adopted to reflect the contribution of the different objective function to total objective function.