Electromagnetic performance analysis of hybrid-excited flux-switching machines for electrical vehicles by an improved magnetic network model

Author

Hua, Wei ; Zhang, Gan ; Cheng, Ming

Author_Institution

Sch. of Electr. Eng., Southeast Univ., Nanjing, China

fYear

2010

fDate

1-3 Sept. 2010

Firstpage

1

Lastpage

5

Abstract

In this paper, a nonlinear magnetic circuit network model is proposed for a three-phase 12-stator-slot/10-rotor-pole hybrid-excited flux-switching machine for electrical vehicles, which can predict the static electromagnetic characteristics, including the open-circuit air-gap field distributions, phase PM flux-linkage, phase back-electromotive force (back-EMF) waveform and winding inductances. To improve the accuracy of the predicted electromagnetic performance, in the improved model, a particular a parallel multi-piece magnet magnetic circuit instead of series single-piece magnet circuit is employed to take the local saturation effect into account. The predicted results are confirmed by finite element analysis.

Keywords

electric potential; finite element analysis; hybrid electric vehicles; inductance; magnetic circuits; magnetic flux; permanent magnet motors; rotors; stators; PM flux linkage; back electromotive force; electrical vehicle; electromagnetic performance analysis; finite element analysis; hybrid excited flux switching machine; local saturation effect; multipiece magnetic circuit; nonlinear magnetic circuit network model; open circuit air gap field distribution; rotor pole; static electromagnetic characteristics; stator slot; winding inductance; Integrated circuit modeling; Magnetic circuits; Magnetic flux; Rotors; Saturation magnetization; Stator windings; electrical vehicles; finite element analysis; flux-switching; hybrid-excited; magnetic circuit analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicle Power and Propulsion Conference (VPPC), 2010 IEEE

Conference_Location

Lille

Print_ISBN

978-1-4244-8220-7

Type

conf

DOI

10.1109/VPPC.2010.5728989

Filename

5728989