Multi-Objective Optimization of Yokeless and Segmented Armature Machine for In-Wheel Traction Applications Based on the Taguchi Method

被引:0
|
作者
Su, Liang [1 ]
Wang, Guangchen [2 ]
Gao, Yuan [3 ]
Zanchetta, Pericle [4 ,5 ]
Zhang, Hengliang [2 ]
机构
[1] Xiamen King Long United Automot Ind Co Ltd, Xiamen 361023, Peoples R China
[2] Southeast Univ, Sch Elect Engn, Nanjing 210096, Peoples R China
[3] Univ Leicester, Sch Engn, Leicester LE1 7RH, England
[4] Univ Nottingham, Power Elect Machines & Control PEMC, Nottingham NG7 2RD, England
[5] Univ Pavia, Dept Elect Comp & Biomed Engn, I-27100 Pavia, Italy
关键词
in-wheel traction; sensitivity analysis; Taguchi method; yokeless and segmented armature (YASA); DESIGN; MOTOR;
D O I
10.3390/machines12040221
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
For electrical machines with complex structures, the design space of parameters can be large with high dimensions during optimization. Considering the calculation cost and time consumption, it is hard to optimize all the design parameters at the same time. Therefore, in that situation, sensitivity analysis of these design parameters is usually used to sort out crucial parameters. In this paper, the sensitivity analysis-based Taguchi method is applied to optimize the axial-flux permanent magnet (AFPM) machine with yokeless and segmented armature (YASA) topology for an in-wheel traction system. According to the key parameters and their sensitivity analysis, the optimal machine scheme to meet the performance requirements can be formed. In this case study, the machine performance is improved significantly after optimization. Lastly, the experimental results verify the accuracy of the model used in this study.
引用
收藏
页数:16
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