DocumentCode :
1493325
Title :
Nonlinear model and momentary performance capability of a cage rotor induction machine used as an automotive combined starter-alternator
Author :
McCleer, Patrick J. ; Miller, John M. ; Gale, Allan R. ; Degner, Michael W. ; Leonardi, Franco
Author_Institution :
McCleer Power Inc., Jackson, MI, USA
Volume :
37
Issue :
3
fYear :
2001
Firstpage :
840
Lastpage :
846
Abstract :
This paper presents the calculated and the measured performance capability of a cage rotor induction machine used as a direct connected, crankshaft speed, combined starter-alternator for an automotive diesel engine in an experimental hybrid electric vehicle. The calculated results are based on a nonlinear equivalent circuit model of the machine in which saturation is considered only in the stator and rotor magnetizing flux paths. The development details of this model are given as well as several sets of calculation results for a prototype induction machine. Finally, measured maximum performance results for the test machine are presented and compared with model-based calculated results for the same operating conditions of speed, terminal voltage and current
Keywords :
alternators; asynchronous machines; automotive electronics; electric vehicles; equivalent circuits; internal combustion engines; machine testing; machine theory; magnetic flux; magnetisation; rotors; squirrel cage motors; starting; stators; automotive combined starter-alternator; automotive diesel engine; cage rotor induction machine; hybrid electric vehicle; maximum performance; momentary performance capability; nonlinear equivalent circuit model; nonlinear modelling; operating conditions; rotor magnetizing flux path; stator magnetizing flux path; test machine; Automotive engineering; Diesel engines; Electric variables measurement; Equivalent circuits; Hybrid electric vehicles; Induction machines; Magnetic flux; Saturation magnetization; Stators; Velocity measurement;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/28.924766
Filename :
924766
Link To Document :
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