Design and optimisation of an In-wheel switched reluctance motor for electric vehicles

被引:33
|
作者
Zhu Yueying [1 ]
Yang Chuantian [1 ]
Yue Yuan [2 ]
Wei Weiyan [1 ]
Zhao Chengwen [3 ]
机构
[1] Tianjin Univ Sci & Technol, Coll Mech Engn, Tianjin, Peoples R China
[2] Tianjin Univ, Sch Elect & Informat Engn, Tianjin, Peoples R China
[3] Tianjin Key Lab Integrated Design & On Line Monit, Tianjin, Peoples R China
基金
中国国家自然科学基金;
关键词
reluctance motors; rotors; torque; optimisation; electric vehicles; sensitivity analysis; mechanical performance; structure design; geometrical multiobjective optimisation strategy; design specifications; novel multiobjective simultaneous optimisation function; weighted factors; design variables; multiobjective optimisation method; orthogonal experiment design method; optimised SRM; multiobjective simultaneous optimisation strategy; in-wheel switched reluctance motor; EV; dynamic torque performance; in-wheel SRM; static torque performance; TORQUE RIPPLE; MULTIOBJECTIVE OPTIMIZATION; MINIMIZATION;
D O I
10.1049/iet-its.2018.5097
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
To improve the mechanical performance of the In-wheel switched reluctance motor (SRM) used in electric vehicles (EVs), structure design and geometrical multi-objective optimisation strategy for the In-wheel SRM were developed in this study. The design method for major parameters of the In-wheel SRM was presented by means of design specifications of the EVs. According to requirements of the EVs, four indicators of the SRM were defined to evaluate the development of the SRM and perform the optimisation. To simultaneously improve the static performance of the SRM, a novel multi-objective simultaneous optimisation function was proposed by using four weighted factors and considering sensitivity analysis of the design variables on indicators. A four-phase 16/20 In-wheel SRM with an outer rotor was designed and optimised based on the proposed multi-objective optimisation method. The influence of design variables on average torque, torque ripple, efficiency, and torque density was analysed based on a combination of finite element analysis and orthogonal experiment design method. The static and dynamic torque performances of the optimised SRM were evaluated and compared with those of the initial motor. The comparison results showed that the proposed multi-objective simultaneous optimisation strategy can greatly improve the static and dynamic torque performances of the SRM.
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页码:175 / 182
页数:8
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