A novel approach for fuel cell parameter estimation using simple Genetic Algorithm

被引：99

作者：

Priya, K. ^{[1
]}

Babu, T. Sudhakar ^{[1
]}

Balasubramanian, Karthik ^{[2
]}

Kumar, K. Sathish ^{[1
]}

Rajasekar, N. ^{[1
]}

机构：

[1] VIT Univ, Solar Energy Res Ctr, Sch Elect Engn, Vellore 632014, Tamil Nadu, India

[2] Saipem India Projects Private Ltd, Chennai 600034, Tamil Nadu, India

来源：

SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS | 2015年 / 12卷 / 46-52期

关键词：

Fuel cell parameter extraction; Proton Exchange Membrane Fuel Cell (PEMFC); Genetic Algorithm (GA); Fuel cell modelling;

D O I：

10.1016/j.seta.2015.09.001

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

A new problem formulation for effective identification of fuel cell parameters is proposed. The proposed formulation is solved by applying Genetic Algorithm optimization technique. The algorithm steps are coded in MATLAB and the objective function is solved for PEM fuel cell. In order to estimate the performance of the proposed formulation; extensive simulations are performed with both the proposed and conventional objective functions and the results obtained are compared. Further, a comprehensive evaluation based on objective function value, convergence speed and absolute voltage error value is also made to prove the superiority of the proposed formulation over the conventional curve fitting approach. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：46 / 52

页数：7

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