Efficiency optimal design of interior permanent magnet machine for scooter
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 권병일 | - |
dc.date.accessioned | 2021-06-23T02:24:46Z | - |
dc.date.available | 2021-06-23T02:24:46Z | - |
dc.date.created | 2021-02-18 | - |
dc.date.issued | 2013-10 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/26756 | - |
dc.description.abstract | In this paper, a shape optimization for efficiency improvement of an interior permanent magnet (IPM) machine is presented for scooter. Usually scooter machine is limited to the space, so the optimization design for performance improvement with a limited volume and better features is necessary. The optimal design process by using the Kriging method combined with latin hypercube sampling (LHS) and genetic algorithm (GA) is utilized. As a result, the output power and efficiency have been improved effectively. To make more accurate prediction of performance, some other characteristics are also performed with the aid of a time-stepping 2D finite element method (FEM). © 2013 IEEE. | - |
dc.publisher | IEEE Computer Society | - |
dc.title | Efficiency optimal design of interior permanent magnet machine for scooter | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 권병일 | - |
dc.identifier.bibliographicCitation | International Conference on Electrical Machines and Systems 2013, pp.949 - 953 | - |
dc.relation.isPartOf | International Conference on Electrical Machines and Systems 2013 | - |
dc.citation.title | International Conference on Electrical Machines and Systems 2013 | - |
dc.citation.startPage | 949 | - |
dc.citation.endPage | 953 | - |
dc.type.rims | ART | - |
dc.description.journalClass | 3 | - |
dc.subject.keywordAuthor | Optimal systems | - |
dc.subject.keywordAuthor | Optimization design | - |
dc.subject.keywordAuthor | Shape optimization | - |
dc.subject.keywordAuthor | Permanent magnets | - |
dc.subject.keywordAuthor | Electric machinery | - |
dc.subject.keywordAuthor | Magnets | - |
dc.subject.keywordAuthor | Output power and efficiencies | - |
dc.subject.keywordAuthor | Kriging methods | - |
dc.subject.keywordAuthor | Genetic algorithms | - |
dc.subject.keywordAuthor | Vehicles | - |
dc.subject.keywordAuthor | Finite element method | - |
dc.subject.keywordAuthor | Accurate prediction | - |
dc.subject.keywordAuthor | Latin hypercube sampling | - |
dc.subject.keywordAuthor | E | - |
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