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A comparison between CG and PSO algorithms for the design of a PM motor for fuel cell ancillaries

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4 Author(s)
Dubas, F. ; ENISYS Dept., Univ. of Franche-Comte (UFC), Belfort ; Sari, A. ; Hissel, D. ; Espanet, C.

This paper deals with the design of a 500 W permanent magnet (PM) machine used to drive the air-compressor of a 5 kW fuel cell (FC). The authors focus on the optimization of the PM motor efficiency/mass/efficiency-mass in order to minimize the energy consumption of the air-compressor which can represent up to 30% of the electrical energy delivered by the FC. The aim of this paper is to compare two types of optimization algorithm: Conjugate Gradient (CG) and Particle Swarm Optimization (PSO).

Published in:

Vehicle Power and Propulsion Conference, 2008. VPPC '08. IEEE

Date of Conference:

3-5 Sept. 2008