DocumentCode :
2852130
Title :
Induction motor design for electric vehicle using a niching genetic algorithm
Author :
Cho, Dong-Hyeok ; Jung, Hyun-Kyo ; Lee, Cheol-Gyun
Author_Institution :
Sch. of Electr. Eng., Seoul Nat. Univ., South Korea
fYear :
1999
fDate :
36281
Firstpage :
290
Lastpage :
292
Abstract :
In case of the shape or structural optimization of induction motor design, it is needed to identify a multiple optimal profile by locating local optima as well as global. Niching methods extend genetic algorithms to the domain that require the location and maintenance of multiple solutions. In this paper, optimal design of induction motors for electric vehicles (EV) using a niching method adopting restricted competition selection (RCS) is proposed. The evaluation criteria, the standard of the best design selection, are also presented
Keywords :
electric machines; genetic algorithms; induction motor drives; machine theory; traction motor drives; best design selection standard; electric vehicle; evaluation criteria; induction motor design; multiple optimal profile identification; niching genetic algorithm; restricted competition selection; shape optimization; structural optimization; Algorithm design and analysis; Coils; Electric vehicles; Genetic algorithms; Induction motors; Manufacturing; Organisms; Shape; Stators; Transient analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Machines and Drives, 1999. International Conference IEMD '99
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-5293-9
Type :
conf
DOI :
10.1109/IEMDC.1999.769095
Filename :
769095
Link To Document :
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