Particle Swarm Optimization for Identification of PEMFC Generation System Fuzzy Model


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This paper proposes particle swarm optimization (PSO) for identification of the Proton Exchange Membrane Fuel Cells (PEMFC) generation systems fuzzy model. The PEM fuel cell generation system efficiency decreases as its output power increases. Thus, an optimum efficiency should exist and should result in a cost-effective PEM fuel cell generation system. The PEMFC generation system cost and efficiency fuzzy model were build, we use the PSO as an optimization engine to indentify the fuzzy model. The simulation results were presented and the results show that we may minimize the total cost of the generation system by using the PSO.



Advanced Materials Research (Volumes 588-589)

Edited by:

Lawrence Lim




Y. Ren et al., "Particle Swarm Optimization for Identification of PEMFC Generation System Fuzzy Model", Advanced Materials Research, Vols. 588-589, pp. 260-263, 2012

Online since:

November 2012




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