Title :
A comparison between CG and PSO algorithms for the design of a PM motor for fuel cell ancillaries
Author :
Dubas, F. ; Sari, A. ; Hissel, D. ; Espanet, C.
Author_Institution :
ENISYS Dept., Univ. of Franche-Comte (UFC), Belfort
Abstract :
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).
Keywords :
conjugate gradient methods; fuel cells; particle swarm optimisation; permanent magnet motors; air-compressor; conjugate gradient optimization; electrical energy; energy consumption minimize; fuel cell ancillaries; particle swarm optimization; permanent magnet motor; power 5 kW; power 500 W; Algorithm design and analysis; Character generation; Circuits; Cooling; Fuel cells; Global warming; Hydrogen; Propulsion; Traction motors; Vehicles;
Conference_Titel :
Vehicle Power and Propulsion Conference, 2008. VPPC '08. IEEE
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-1848-0
Electronic_ISBN :
978-1-4244-1849-7
DOI :
10.1109/VPPC.2008.4677730
