Multi-Variable Multi-Objective Optimization Algorithm for Optimal Design of PMa-SynRM for Electric Bicycle Traction Motor

In this paper, internal division point genetic algorithm (IDP-GA) was proposed to lessen the computational burden of multi-variable multi-objective optimization problem using finite element analysis such as optimal design of electric bicycles. The IDP-GA could consider various objectives with normal...

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Autores principales:	Ji-Chang Son, Kyung-Pyo Yi, Dong-Kuk Lim
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	design optimization finite element analysis heuristic algorithms permanent magnet motors Chemical technology TP1-1185 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/1c0bb077b4b044e9a561f6679d5990fc
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spelling	oai:doaj.org-article:1c0bb077b4b044e9a561f6679d5990fc2021-11-25T18:50:16ZMulti-Variable Multi-Objective Optimization Algorithm for Optimal Design of PMa-SynRM for Electric Bicycle Traction Motor10.3390/pr91119012227-9717https://doaj.org/article/1c0bb077b4b044e9a561f6679d5990fc2021-10-01T00:00:00Zhttps://www.mdpi.com/2227-9717/9/11/1901https://doaj.org/toc/2227-9717In this paper, internal division point genetic algorithm (IDP-GA) was proposed to lessen the computational burden of multi-variable multi-objective optimization problem using finite element analysis such as optimal design of electric bicycles. The IDP-GA could consider various objectives with normalized weighted sum method and could reduce the number of function calls with novel crossover strategy and vector-based pattern search method. The superiority of the proposed algorithm was verified by comparing performances with conventional optimization method at two mathematical test functions. Finally, the applicability of the IDP-GA in practical electric machine design was verified by successfully deriving an improved design of electric bicycle propulsion motor.Ji-Chang SonKyung-Pyo YiDong-Kuk LimMDPI AGarticledesign optimizationfinite element analysisheuristic algorithmspermanent magnet motorsChemical technologyTP1-1185ChemistryQD1-999ENProcesses, Vol 9, Iss 1901, p 1901 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	design optimization finite element analysis heuristic algorithms permanent magnet motors Chemical technology TP1-1185 Chemistry QD1-999
spellingShingle	design optimization finite element analysis heuristic algorithms permanent magnet motors Chemical technology TP1-1185 Chemistry QD1-999 Ji-Chang Son Kyung-Pyo Yi Dong-Kuk Lim Multi-Variable Multi-Objective Optimization Algorithm for Optimal Design of PMa-SynRM for Electric Bicycle Traction Motor
description	In this paper, internal division point genetic algorithm (IDP-GA) was proposed to lessen the computational burden of multi-variable multi-objective optimization problem using finite element analysis such as optimal design of electric bicycles. The IDP-GA could consider various objectives with normalized weighted sum method and could reduce the number of function calls with novel crossover strategy and vector-based pattern search method. The superiority of the proposed algorithm was verified by comparing performances with conventional optimization method at two mathematical test functions. Finally, the applicability of the IDP-GA in practical electric machine design was verified by successfully deriving an improved design of electric bicycle propulsion motor.
format	article
author	Ji-Chang Son Kyung-Pyo Yi Dong-Kuk Lim
author_facet	Ji-Chang Son Kyung-Pyo Yi Dong-Kuk Lim
author_sort	Ji-Chang Son
title	Multi-Variable Multi-Objective Optimization Algorithm for Optimal Design of PMa-SynRM for Electric Bicycle Traction Motor
title_short	Multi-Variable Multi-Objective Optimization Algorithm for Optimal Design of PMa-SynRM for Electric Bicycle Traction Motor
title_full	Multi-Variable Multi-Objective Optimization Algorithm for Optimal Design of PMa-SynRM for Electric Bicycle Traction Motor
title_fullStr	Multi-Variable Multi-Objective Optimization Algorithm for Optimal Design of PMa-SynRM for Electric Bicycle Traction Motor
title_full_unstemmed	Multi-Variable Multi-Objective Optimization Algorithm for Optimal Design of PMa-SynRM for Electric Bicycle Traction Motor
title_sort	multi-variable multi-objective optimization algorithm for optimal design of pma-synrm for electric bicycle traction motor
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/1c0bb077b4b044e9a561f6679d5990fc
work_keys_str_mv	AT jichangson multivariablemultiobjectiveoptimizationalgorithmforoptimaldesignofpmasynrmforelectricbicycletractionmotor AT kyungpyoyi multivariablemultiobjectiveoptimizationalgorithmforoptimaldesignofpmasynrmforelectricbicycletractionmotor AT dongkuklim multivariablemultiobjectiveoptimizationalgorithmforoptimaldesignofpmasynrmforelectricbicycletractionmotor
_version_	1718410635231887360

Multi-Variable Multi-Objective Optimization Algorithm for Optimal Design of PMa-SynRM for Electric Bicycle Traction Motor

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