Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8073551 | Energy | 2016 | 9 Pages |
Abstract
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 Vcon 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.
Related Topics
Physical Sciences and Engineering
Energy
Energy (General)
Authors
Shipin Yang, Ryad Chellali, Xiaohua Lu, Lijuan Li, Cuimei Bo,