PEM fuel cell model parameters optimization using modified particle swarm optimization algorithm

被引：0
|
作者：
Isa, Zainuddin Mat [1 ]
Rahim, Nasrudin Abdul [2 ]
机构：
[1] Univ Malaysia Perlis, Sch Elect Syst Engn, Perlis, Malaysia
[2] Univ Malaya, UMPEDAC, Kuala Lumpur, Malaysia
来源：
2013 IEEE CONFERENCE ON CLEAN ENERGY AND TECHNOLOGY (CEAT) | 2013年
关键词：
PEMFC Model; Particle Swarm Optimization; Parameter Optimization;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper proposed a technique to identify Proton Exchange Membrane Fuel Cell (PEMFC)'s parameters using an optimization approach. This paper present the application of particle swarm optimization (PSO) based algorithm known as local optima avoidance particle swarm optimization (LOAPSO) in extracting parameters from PEMFC. The proposed technique is used to identify the PEMFC parameters in term of the voltage-current characteristics. An experimental data from publish literature are used to test and verify the consistency of accurately identifying various parameters.
引用
收藏
页码：442 / 445
页数：4
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