An Experimentally Optimized PEM Fuel Cell Model using PSO Algorithm

被引：0
|
作者：
Chibante, R. [1 ]
Campos, D. [1 ]
机构：
[1] Polytech Inst Porto, Sch Engn, Dept Elect Engn, P-4200072 Oporto, Portugal
来源：
IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE 2010) | 2010年
关键词：
Particle Swarm Optimization; Fuel cell; PEM; PSO; modelling;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a semi-empirical fuel cell model with parameters identified using an optimization approach. The Proton Exchange Membrane Fuel Cell (PEMFC) model is characterized by technological and empirical parameters and their identification is a hard task if is intended to have precise simulation results in a wide range of operating conditions. It is verified that the Particle Swarm Optimization (PSO) method is an adequate tool to extract the correct parameter values. This is achieved minimizing the difference between experimental and simulated results. Both PEMFC model and PSO algorithm are implemented in Matlab/Simulink software.
引用
收藏
页码：2281 / 2285
页数：5
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