Towards Reliable Prediction of Performance for Polymer Electrolyte Membrane Fuel Cells via Machine Learning-Integrated Hybrid Numerical Simulations

R Kaiser, CY Ahn, YH Kim, JC Park - Processes, 2024 - mdpi.com
For mitigating global warming, polymer electrolyte membrane fuel cells have become
promising, clean, and sustainable alternatives to existing energy sources. To increase the …

Analysis of electrochemical and thermal models and modeling techniques for polymer electrolyte membrane fuel cells

FJ Asensio, JI San Martín, I Zamora, G Saldaña… - … and Sustainable Energy …, 2019 - Elsevier
Abstract Polymeric Electrolyte Membrane Fuel Cell (PEMFC) modeling considering thermal
and electrical behavior in a coupled manner is a key aspect when evaluating new designs …

Computationally efficient pseudo-2D non-isothermal modeling of polymer electrolyte membrane fuel cells with two-phase phenomena

A Goshtasbi, BL Pence, T Ersal - Journal of The Electrochemical …, 2016 - iopscience.iop.org
In this article, a computationally efficient pseudo-2D model for real-time dynamic simulations
of polymer electrolyte membrane fuel cells (PEMFCs) is developed with a specific focus on …

Parameter Identification of a Quasi-3D PEM Fuel Cell Model by Numerical Optimization

M Haslinger, C Steindl, T Lauer - Processes, 2021 - mdpi.com
Polymer electrolyte membrane fuel cells (PEMFCs) supplied with green hydrogen from
renewable sources are a promising technology for carbon dioxide-free energy conversion …

Computational modelling of polymer electrolyte membrane (PEM) fuel cells: Challenges and opportunities

N Djilali - Energy, 2007 - Elsevier
Fuel cells are still undergoing intense development, and the combination of new and
optimized materials, improved product development, novel architectures, more efficient …

[HTML][HTML] Data-driven parameterization of polymer electrolyte membrane fuel cell models via simultaneous local linear structured state space identification

D Ritzberger, J Höflinger, ZP Du, C Hametner… - International Journal of …, 2021 - Elsevier
In order to mitigate the degradation and prolong the lifetime of polymer electrolyte
membrane fuel cells, advanced, model-based control strategies are becoming …

[HTML][HTML] A review of physics-based and data-driven models for real-time control of polymer electrolyte membrane fuel cells

J Zhao, X Li, C Shum, J McPhee - Energy and AI, 2021 - Elsevier
The real-time model-based control of polymer electrolyte membrane (PEM) fuel cells
requires a computationally efficient and sufficiently accurate model to predict the transient …

AI-assisted proton exchange membrane (PEM) fuel cell performance prediction using CFD and data-driven surrogate models

S Siddiqa, K Chang, SB Naqvi, M Azam… - … Communications in Heat …, 2024 - Elsevier
In this paper, three-dimensional CFD simulations and the machine-learning-based
surrogate models derived from the computational results are investigated to evaluate the …

[HTML][HTML] Application of machine learning in optimizing proton exchange membrane fuel cells: a review

R Ding, S Zhang, Y Chen, Z Rui, K Hua, Y Wu, X Li… - Energy and AI, 2022 - Elsevier
Proton exchange membrane fuel cells (PEMFCs) as energy conversion devices for
hydrogen energy are crucial for achieving an eco-friendly society, but their cost and …

Precise PEM fuel cell parameter extraction based on a self-consistent model and SCCSA optimization algorithm

M Alizadeh, F Torabi - Energy Conversion and Management, 2021 - Elsevier
Mathematical modeling of a polymer electrolyte membrane fuel cell (PEMFC) is widely used
for investigating its performance. The development of a precise model is crucial for …