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Modeling and optimization for proton exchange membrane fuel cell stack using aging and challenging P systems based optimization algorithm
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DOI：10.1016/j.energy.2016.04.093.png)
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Abstract
En 中文
Accurate models of PEM (proton exchange membrane) fuel cells are of great significance for the analysis and the control for power generation. We present a new semi-empirical model to predict the voltage outputs of PEM fuel cell stacks. We also introduce a new estimation method, called AC-POA (aging and challenging P systems based optimization algorithm) allowing deriving the parameters of the semi empirical model. In our model, the cathode inlet pressure is selected as an additional factor to modify the expression of concentration over-voltage V-con for traditional Amphlett's PEM fuel cell model. In AC-POA, the aging-mechanism inspired object updating rule is merged in existing P system. We validate through experiments the effectiveness of AC-POA and the fitting accuracy of our model. Modeling comparison results show that the predictions of our model are the best in terms of fitting to actual sample data. (C) 2016 Elsevier Ltd. All rights reserved.
Keywords:
PEM fuel cell
Modeling
P systems
Aging
Parameter estimation
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