Optimal Design of an Axial Flux Permanent Magnet Synchronous Motor for the Electric Bicycle
DC Field | Value | Language |
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dc.contributor.author | Lim, DK[Lim, Dong-Kuk] | - |
dc.contributor.author | Cho, YS[Cho, Yong-Sun] | - |
dc.contributor.author | Ro, JS[Ro, Jong-Suk] | - |
dc.contributor.author | Jung, SY[Jung, Sang-Yong] | - |
dc.contributor.author | Jung, HK[Jung, Hyun-Kyo] | - |
dc.date.accessioned | 2021-07-31T20:25:58Z | - |
dc.date.available | 2021-07-31T20:25:58Z | - |
dc.date.created | 2016-08-07 | - |
dc.date.issued | 2016-03 | - |
dc.identifier.issn | 0018-9464 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/37452 | - |
dc.description.abstract | Design of an electric machine such as the axial flux permanent magnet synchronous motor (AFPMSM) requires a 3-D finite-element method (FEM) analysis. The AFPMSM with a 3-D FEM model involves too much time and effort to analyze. To deal with this problem, we apply a surrogate assisted multi-objective optimization (SAMOO) algorithm that can realize an accurate and well-distributed Pareto front set with a few number of function calls, and considers various design variables in the motor design process. The superior performance of the SAMOO is verified by comparing it with conventional multi-objective optimization algorithms in a test function. Finally, the optimal design result of the AFPMSM for the electric bicycle is obtained by using the SAMOO algorithm. | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | Algorithms | - |
dc.subject | Bicycles | - |
dc.subject | Design | - |
dc.subject | Electric vehicles | - |
dc.subject | Finite element method | - |
dc.subject | Magnets | - |
dc.subject | Optimal systems | - |
dc.subject | Optimization | - |
dc.subject | Permanent magnets | - |
dc.subject | Synchronous motors | - |
dc.subject | 3D Finite Element Method (FEM) | - |
dc.subject | Axial flux permanent magnet | - |
dc.subject | Design variables | - |
dc.subject | Electric bicycles | - |
dc.subject | Kriging | - |
dc.subject | Surrogate model | - |
dc.subject | Surrogate-assisted multi-objective optimizations | - |
dc.subject | Test functions | - |
dc.subject | Multiobjective optimization | - |
dc.title | Optimal Design of an Axial Flux Permanent Magnet Synchronous Motor for the Electric Bicycle | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jung, SY[Jung, Sang-Yong] | - |
dc.identifier.doi | 10.1109/TMAG.2015.2497374 | - |
dc.identifier.scopusid | 2-s2.0-84962184443 | - |
dc.identifier.wosid | 000372254000216 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON MAGNETICS, v.52, no.3 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON MAGNETICS | - |
dc.citation.title | IEEE TRANSACTIONS ON MAGNETICS | - |
dc.citation.volume | 52 | - |
dc.citation.number | 3 | - |
dc.type.rims | ART | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Physics | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
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