Parameter identification for area-specific resistance of direct methanol fuel cell using cuckoo search algorithm

Jiajun Ding, Xiongxiong He, Bo Jiang, Yiming Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In order to improve the accuracy of the area-specific resistance model for direct methanol fuel cell, a heuristic algorithm named cuckoo search is employed. In this work, the optimal modeling strategy is designed to identify the parameters of the area-specific resistance model and minimize the error between the simulation and real experimental data. In experimental evaluation, the proposed algorithm is compared with four heuristic algorithms. The experimental results show the model based on cuckoo search offering better approximation effect and stronger robustness comparing with four other heuristic algorithms.

Original languageEnglish
Title of host publicationBio-Inspired Computing – Theories and Applications - 10th International Conference, BIC-TA 2015, Proceedings
EditorsLinqiang Pan, Tao Song, Ke Tang, Maoguo Gong, Xingyi Zhang
PublisherSpringer Verlag
Pages107-112
Number of pages6
ISBN (Print)9783662490136
DOIs
StatePublished - 2015
Externally publishedYes
Event10th International Conference on Bio-Inspired Computing – Theories and Applications, BIC-TA 2015 - Hefei, China
Duration: 25 Sep 201528 Sep 2015

Publication series

NameCommunications in Computer and Information Science
Volume562
ISSN (Print)1865-0929

Conference

Conference10th International Conference on Bio-Inspired Computing – Theories and Applications, BIC-TA 2015
Country/TerritoryChina
CityHefei
Period25/09/1528/09/15

Keywords

  • Area specific resistance
  • Cuckoo search algorithm
  • Parameter identification

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