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

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 opti...

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Bibliographic Details
Published in:Membranes (Basel) 2021-12, Vol.11 (12), p.953
Main Authors: González-Castaño, Catalina, Lorente-Leyva, Leandro L, Alpala, Janeth, Revelo-Fuelagán, Javier, Peluffo-Ordóñez, Diego H, Restrepo, Carlos
Format: Article
Language:English
Subjects:
Algorithms
Approximation
diffusive model
Dynamic models
Electric potential
Electric power
Emulators
evolution strategy
Exponential functions
Fault diagnosis
Fuel cells
Fuel technology
Gaussian model
Optimization
proton exchange membrane fuel cell
Proton exchange membrane fuel cells
Protons
Software
Variables
Voltage
voltage-current dynamic response
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Summary: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.
ISSN:2077-0375
2077-0375
DOI:10.3390/membranes11120953