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AI based Metaheuristic Optimization of PEMFC Control System for Robust and Efficient Operation

Article scientifique 2023 Anglais

Résumé

Abstract Proton Exchange Membrane Fuel Cells (PEMFC) have several merits over the other fuel cells like low operating temperature, high power density, light weight, and robustness, fitting them in a wide variety of green energy applications. The most important application area of the PEMFC is hydrogen cars (Fuel Cell Electric Vehicles – FCEV), stationary and portable hydrogen power systems. Throughout the presented research work the complete three cycles of the fuel cell control are presented which are the control system, the FCEV control and the AI based metaheuristic optimization. The presented algorithm includes the PI controller – PI-based HHO-PI-based AEO-PI-based GWO-PI-based PSO. An objective statistical comparison among the presented algorithms to select the best one of them according to perfect criteria.

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Aboshosha, A., Gouda, M., Awad, H., Hamad, H. (2023). AI based Metaheuristic Optimization of PEMFC Control System for Robust and Efficient Operation. https://doi.org/10.21203/rs.3.rs-3159560/v1

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Auteur(s)

Ashraf Aboshosha Mohamed Mahmoud Gouda Hilmy El-sayed Awad Hisham A. Hamad

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