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A Novel Fuzzy Schema to Control the Temperature and Humidification of PEM Fuel Cell System

[+] Author Affiliations
Arunkumar Jayakumar, Maximiano Ramos, Ahmed Al-Jumaily

Auckland University of Technology, Auckland, New Zealand

Paper No. FUELCELL2015-49623, pp. V001T06A005; 4 pages
  • ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2015 Power Conference, the ASME 2015 9th International Conference on Energy Sustainability, and the ASME 2015 Nuclear Forum
  • ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology
  • San Diego, California, USA, June 28–July 2, 2015
  • Conference Sponsors: Advanced Energy Systems Division
  • ISBN: 978-0-7918-5661-1
  • Copyright © 2015 by ASME


The present paper proposes a simple yet effective technique to improve the performance of a practical PEM fuel cell system by tuning the two key operating parameters based on the expert’s rules derived from the literature. The fuzzy rule base is designed to optimally control the temperature and humidification of the two critical parameters governing the fuel cell system performance and dynamics. The modelling of the proposed methodology is presented through the Matlab/fuzzy logic toolbox.

Copyright © 2015 by ASME



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