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Bio-Inspired Computing - Theories and Applications

BIC-TA 2015: Bio-Inspired Computing -- Theories and Applications pp 107–112Cite as

Parameter Identification for Area-Specific Resistance of Direct Methanol Fuel Cell Using Cuckoo Search Algorithm

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 562))

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.

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Acknowledgments

This work was supported by grants from National Natural Science Foundation of China (Grant Nos. 61473262, 61503340) and Zhejiang Province Public Research Project (Grant NO.2014C31097).

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Authors and Affiliations

  1. College of Information Engineering, Zhejiang Unviersity of Technology, Hangzhou, 310023, China

    Jiajun Ding, Xiongxiong He & Yiming Wu

  2. College of Educational Science and Technology, Zhejiang Unviersity of Technology, Hangzhou, 310023, China

    Bo Jiang

Authors
  1. Jiajun Ding
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  2. Xiongxiong He
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  3. Bo Jiang
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  4. Yiming Wu
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Corresponding author

Correspondence to Xiongxiong He .

Editor information

Editors and Affiliations

  1. Xidian University, Xi'an, China

    Maoguo Gong

  2. Huazhong Univ. of Science and Technology, Wuhan, China

    Pan Linqiang

  3. University of Petroleum, Qingdao, China

    Song Tao

  4. University of Science and Technology of China, Hefei, China

    Ke Tang

  5. Anhui University, Hefei, China

    Xingyi Zhang

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© 2015 Springer-Verlag Berlin Heidelberg

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Ding, J., He, X., Jiang, B., Wu, Y. (2015). Parameter Identification for Area-Specific Resistance of Direct Methanol Fuel Cell Using Cuckoo Search Algorithm. In: Gong, M., Linqiang, P., Tao, S., Tang, K., Zhang, X. (eds) Bio-Inspired Computing -- Theories and Applications. BIC-TA 2015. Communications in Computer and Information Science, vol 562. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49014-3_10

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  • DOI: https://doi.org/10.1007/978-3-662-49014-3_10

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49013-6

  • Online ISBN: 978-3-662-49014-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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