A Comparison between CG and PSO Algorithms for the Design of a PM Motor for Fuel Cell Ancillaries

Frédéric Dubas (1) , Ali Sari (1) , Daniel Hissel (1) , Christophe Espanet (1)

1 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)

This paper deals with the design of a 500W permanent magnet (PM) machine used to drive the air-compressor of a 5kW 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).

Domaines: Energie électrique; Electromagnétisme

Frédéric Dubas, Ali Sari, Daniel Hissel, Christophe Espanet. A Comparison between CG and PSO Algorithms for the Design of a PM Motor for Fuel Cell Ancillaries. IEEE Vehicle Power and Propulsion Conference (VPPC), Sep 2008, Harbin, China. pp.01-07. ⟨hal-00322516⟩