DocumentCode
3111788
Title
Rotor and stator shape optimization of a synchronous machine to reduce iron losses and acoustic noise
Author
Frias, A. ; Pellerey, P. ; Lebouc, A.K. ; Chillet, Christian ; Lanfranchi, V. ; Friedrich, G. ; Albert, L. ; Humbert, L.
Author_Institution
RENAULT SAS, Guyancourt, France
fYear
2012
fDate
9-12 Oct. 2012
Firstpage
98
Lastpage
103
Abstract
In electric vehicles, a major emphasis is placed on iron loss reduction to maximize machine efficiency and its vibratory and acoustic behavior to meet users´ expectations of a silent drive. This paper describes a method to simultaneously reduce iron losses and magnetic noise of a wound-field synchronous machine considering various stator tooth lengths and rotor pole airgap surface radii. The impact of design parameters on acoustic noise and iron losses is analyzed to provide the possibility to make adequate choices during the design. A novel approach is presented to compute iron losses as well as details of the weak coupling between the magnetic and structural finite element models used to compute the magnetic noise. Simulations results suggest simple rules to improve the machine´s global performance.
Keywords
electric vehicles; finite element analysis; optimisation; rotors; stators; synchronous machines; acoustic noise reduction; electric vehicles; iron loss reduction; magnetic finite element models; magnetic noise reduction; rotor pole airgap surface radii; rotor shape optimization; stator shape optimization; stator tooth; structural finite element models; wound-field synchronous machine; Atmospheric modeling; Computational modeling; Geometry; Harmonic analysis; Linear programming; Stators; Vibrations; Iron losses; acoustic noise; finite-element methods; harmonics; hysteresis; topological optimization; vibrations; wound-field synchronous motors;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicle Power and Propulsion Conference (VPPC), 2012 IEEE
Conference_Location
Seoul
Print_ISBN
978-1-4673-0953-0
Type
conf
DOI
10.1109/VPPC.2012.6422572
Filename
6422572
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