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

  • Jiajun Ding
  • , Xiongxiong He*
  • , Bo Jiang
  • , Yiming Wu
  • *此作品的通讯作者
  • Zhejiang University of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名Bio-Inspired Computing – Theories and Applications - 10th International Conference, BIC-TA 2015, Proceedings
编辑Linqiang Pan, Tao Song, Ke Tang, Maoguo Gong, Xingyi Zhang
出版商Springer Verlag
107-112
页数6
ISBN(印刷版)9783662490136
DOI
出版状态已出版 - 2015
已对外发布
活动10th International Conference on Bio-Inspired Computing – Theories and Applications, BIC-TA 2015 - Hefei, 中国
期限: 25 9月 201528 9月 2015

出版系列

姓名Communications in Computer and Information Science
562
ISSN(印刷版)1865-0929

会议

会议10th International Conference on Bio-Inspired Computing – Theories and Applications, BIC-TA 2015
国家/地区中国
Hefei
时期25/09/1528/09/15

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