Optimal Design of IPMSM for Electric Bus Using a Sub-Domain Algorithm with Dynamic Area Sampling

被引：5

作者：

Kang, Young-Rok ^{[1
]}

Lee, Tae-Hee ^{[1
]}

Seo, Hyunuk ^{[2
]}

Lim, Dong-Kuk ^{[1
]}

机构：

[1] Univ Ulsan, Dept Elect Elect & Comp Engn, Ulsan 44610, South Korea

[2] Korea Inst Machinery & Mat, Dept Robot & Mech, Daejeon 34103, South Korea

来源：

JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY | 2021年 / 16卷 / 06期

关键词：

Dynamic area sampling (DAS); Electric bus; Interior permanent magnet synchronous motor (IPMSM); Kriging; Multi-modal; Optimization; Sub-domain; MOTOR;

D O I：

10.1007/s42835-021-00895-2

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：

The optimal design of an electromagnetic machine requires enormous computation time and includes multi-optima in a design area. Multimodal optimization is a useful method for multi-optima problems. In this paper, a novel multimodal algorithm, specifically a sub-domain algorithm with dynamic area sampling (SADAS), is proposed. A conventional kriging has a memory problem that occurs when increasing the grid density for resolution of interpolation. The SADAS solves this problem by using a sub-domain method. Furthermore, a novel sampling method, dynamic area sampling, is proposed to improve the capability of peak search and convergence speed. The validity of the SADAS is verified by test functions and it is applied to the optimal design of an interior permanent magnet synchronous motor for an electric bus.

引用

页码：3169 / 3178

页数：10

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