Dynamic modeling of a proton-exchange membrane fuel cell using a gaussian approach

Catalina González-Castaño, Leandro L. Lorente-Leyva, Janeth Alpala, Javier Revelo-Fuelagán, Diego H. Peluffo-Ordóñez, Carlos Restrepo

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

2 Citas (Scopus)


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.

Idioma originalInglés
Número de artículo953
EstadoPublicada - dic. 2021

Áreas temáticas de ASJC Scopus

  • Ingeniería química (miscelánea)
  • Química de procesos y tecnología
  • Filtración y separación


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