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International Journal of Chemical Engineering
Volume 2016, Article ID 4109204, 10 pages
Research Article

An Improved Empirical Fuel Cell Polarization Curve Model Based on Review Analysis

1Lab of Clean Energy Automotive Engineering Center, Tongji University, Shanghai 201804, China
2School of Automotive Studies, Tongji University, Shanghai 201804, China
3Shanghai Motor Vehicle Inspection Center, Shanghai 201805, China
4China National Institute of Standardization, Beijing 100088, China

Received 20 November 2015; Revised 9 March 2016; Accepted 18 April 2016

Academic Editor: Iftekhar A. Karimi

Copyright © 2016 Dong Hao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Based on a review analysis of empirical fuel cell polarization curve models in the literature, an improved model that can predict fuel cell performance with only measured current-voltage data is developed. The fitting characteristics of this new model are validated by fitting bench test data and road test data. In the case of bench test data, a comparison of the new model and two representative models is conducted, and the results show that the new model presents the best fitting effects over a whole range of current densities. Moreover, the fitted ohmic resistances derived from the new model show good agreement with the measured values obtained through a current interruption test. In the case of using road test data, the new model also presents excellent fitting characteristics and convenience for application. It is the author’s belief that the new model is beneficial for the application-oriented research of fuel cells due to its prominent features, such as conciseness, flexibility, and high accuracy.