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

fYear

2008

fDate

3-5 Sept. 2008

Firstpage

1

Lastpage

7

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/VPPC.2008.4677730

Filename

4677730