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

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Abstract

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.

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Hao, D., Shen, J., Hou, Y., Zhou, Y., & Wang, H. (2016). An Improved Empirical Fuel Cell Polarization Curve Model Based on Review Analysis. International Journal of Chemical Engineering, 2016. https://doi.org/10.1155/2016/4109204

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