Dynamic Modeling of a Proton-Exchange Membrane Fuel Cell Using a Gaussian Approach

Membranes

Janeth Alpala¹  Carlos Restrepo²  Javier Revelo-Fuelagán³  Catalina González-Castaño⁴  Diego H. Peluffo-Ordóñez⁵  Leandro L. Lorente-Leyva⁶ 

[1] Artificial Intelligence for Electrical Engineering Research Program, SDAS Research Group, Ben Guerir 47963, Morocco;Department of Electromechanics and Energy Conversion, Universidad de Talca, Curicó 3340000, Chile;Department of Electronics Engineering, Faculty of Engineering, Universidad de Nariño, Pasto 52001, Nariño, Colombia;Department of Engineering Sciences, Universidad Andres Bello, Santiago 7500971, Chile;Modeling, Simulation and Data Analysis (MSDA) Research Program, Mohammed VI Polytechnic University, Ben Guerir 47963, Morocco;Postgraduate Center, Universidad Politécnica Estatal del Carchi, Tulcán 040101, Ecuador;

关键词: Gaussian model;    proton exchange membrane fuel cell;    diffusive model;    evolution strategy;    voltage-current dynamic response;   

DOI  :  10.3390/membranes11120953

来源: DOAJ

【 摘 要 】

This paper proposes a Gaussian approach for the proton-exchange membrane fuel cell (PEMFC) model that estimates its voltage behavior from the operating current value. A multi-parametric Gaussian model and an unconstrained optimization formulation based on a conventional non-linear least squares optimizer is mainly considered. The model is tested using experimental data from the Ballard Nexa 1.2 kW fuel cell (FC). This methodology offers a promising approach for static and current-voltage, characteristic of the three regions of operation. A statistical study is developed to evaluate the effectiveness and superiority of the proposed FC Gaussian model compared with the Diffusive Global model and the Evolution Strategy. In addition, an approximation to the exponential function for a Gaussian model simplification can be used in systems that require real-time emulators or complex long-time simulations.

【 授权许可】

Unknown