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