Design Optimization of IPMSM for 42 V Integrated Starter Alternator Using Lumped Parameter Model and Genetic Algorithms

Author

Mirahki, Hooshang ; Moallem, Mehrdad ; Rahimi, Samira Abbasgholizadeh

Author_Institution

Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan, Iran

Volume

50

Issue

3

fYear

2014

fDate

Mar-14

Firstpage

114

Lastpage

119

Abstract

In this paper, the design optimization of an interior permanent magnet synchronous machine is presented using lumped parameter model and genetic algorithms for 42 V integrated starter alternator application. The aim of the optimization is to increase starting torque while keeping torque ripple below 10% and increasing power output in generating mode at high speed and reducing the permanent magnet weight. A finite-element method is used to verify and compare the optimized machine characteristics.

Keywords

alternators; finite element analysis; genetic algorithms; lumped parameter networks; permanent magnet machines; starting; torque; IPMSM; design optimization; finite element method; genetic algorithm; integrated starter alternator; interior permanent magnet synchronous machine; lumped parameter model; permanent magnet weight reduction; starting torque; torque ripple; voltage 42 V; Finite element analysis; Genetic algorithms; Inductance; Optimization; Saturation magnetization; Stators; Torque; Genetic algorithms (GAs); integrated starter alternator (ISA); interior permanent magnet synchronous machine (IPMSM); lumped parameter model (LPM);

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2013.2285358

Filename

6628007