Modeling and optimization for proton exchange membrane fuel cell stack using aging and challenging P systems based optimization algorithm. (15th August 2016)

• Record Type: Journal Article
• Authors: Yang, Shipin; Chellali, Ryad; Lu, Xiaohua; Li, Lijuan; Bo, Cuimei
• Is Part Of: Energy. Volume 109(2016)
• Page Start: 569
• Page End: 577
• Publication Date: 2016-08-15
• Subjects: PEM fuel cell -- Modeling -- P systems -- Aging -- Parameter estimation; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2016.04.093
• Languages: English
• ISSNs: 0360-5442

Abstract

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 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. Highlights: Presented a p c -based modificatory semi-empirical model for PEMFC stack. Introduced a new aging inspired improved parameter estimation algorithm, AC-POA. Validated the effectiveness of the AC-POA and the new model. Remodeled the practical PEM fuel cell system.