Title :
Design and Optimization of a Switched Reluctance Motor Driving a Compressor for a PEM Fuel-Cell System for Automotive Applications
Author :
Raminosoa, T. ; Blunier, B. ; Fodorean, D. ; Miraoui, A.
Author_Institution :
Univ. of Technol. of Belfort-Montbeliard, Belfort, France
Abstract :
This paper describes the design of a high-speed three-phase switched reluctance machine to drive a compressor for the air management of a fuel-cell system for automotive applications. The machine geometry is optimized by means of a finite-element method coupled to a genetic algorithm. The performance of the optimized machine is evaluated, taking into account the iron and air-friction losses. Some theoretical and numerical results are sustained by the measured ones in the same operating conditions.
Keywords :
automobiles; genetic algorithms; proton exchange membrane fuel cells; reluctance motors; PEM fuel-cell system; air management; automotive applications; genetic algorithm; machine geometry; switched reluctance motor; Automotive applications; Couplings; Design optimization; Finite element methods; Genetic algorithms; Geometry; Optimization methods; Performance loss; Reluctance machines; Reluctance motors; Compressor; fuel cell; genetic algorithm; optimization; switched reluctance machines;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2010.2041133