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

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Abstract
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.
Author(s)
강영록이태희서현욱임동국
Issued Date
2021
Type
Article
Keyword
Dynamic area sampling (DAS)Electric busInterior permanent magnet synchronous motor (IPMSM)KrigingMulti-modalOptimizationSub-domain
DOI
10.1007/s42835-021-00895-2
URI
https://oak.ulsan.ac.kr/handle/2021.oak/8828
https://ulsan-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_9872709&context=PC&vid=ULSAN&lang=ko_KR&search_scope=default_scope&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,Optimal%20Design%20of%20IPMSM%20for%20Electric%20Bus%20Using%20a%20Sub-Domain%20Algorithm%20with%20Dynamic%20Area%20Sampling&offset=0&pcAvailability=true
Publisher
JOURNAL OF ELECTRICAL ENGINEERING TECHNOLOGY
Location
싱가포르
Language
영어
ISSN
1975-0102
Citation Volume
16
Citation Number
6
Citation Start Page
3169
Citation End Page
3178
Appears in Collections:
Engineering > Aerospace Engineering
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