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Proton exchange membrane fuel cell modeling based on adaptive focusing particle swarm optimization
According to the modeling principle of proton exchange membrane fuel cell (PEMFC), adaptive focusing particle swarm optimization (AFPSO), which had preferable ability of global search and search rate was proposed to research a set of optimized parameters in the mechanism model. The comparison between experimental results and simulation results demonstrates that AFPSO can make the simulation results fit the experiment data with higher precision and has manifest superiority and validity for estimating the model parameters. Hence AFPSO achieves significant effect for optimizing the model parameters of PEMFC.
Proton exchange membrane fuel cell modeling based on adaptive focusing particle swarm optimization
According to the modeling principle of proton exchange membrane fuel cell (PEMFC), adaptive focusing particle swarm optimization (AFPSO), which had preferable ability of global search and search rate was proposed to research a set of optimized parameters in the mechanism model. The comparison between experimental results and simulation results demonstrates that AFPSO can make the simulation results fit the experiment data with higher precision and has manifest superiority and validity for estimating the model parameters. Hence AFPSO achieves significant effect for optimizing the model parameters of PEMFC.
Proton exchange membrane fuel cell modeling based on adaptive focusing particle swarm optimization
Qi, Li (Autor:in) / Weirong, Chen (Autor:in) / Junbo, Jia (Autor:in) / Thean, Cham Yew (Autor:in) / Ming, Han (Autor:in)
Journal of Renewable and Sustainable Energy ; 1 ; 013105-
01.01.2009
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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