A machine learning driven 3D+1D model for efficient characterization of proton exchange membrane fuel cells

The computational demands of 3D continuum models for proton exchange membrane fuel cells remain substantial. One prevalent approach is the hierarchical model combining a 2D/3D flow field with a 1D sub-model for the catalyst layers and membrane. However, existing studies often simplify the 1D domain...

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Bibliographic Details

Published in:	Energy and AI
Main Authors:	Yuwei Pan, Haijun Ruan, Billy Wu, Yagya N. Regmi, Huizhi Wang, Nigel P. Brandon
Format:	Article
Language:	English
Published:	Elsevier 2024-09-01
Subjects:	Proton exchange membrane fuel cell Hierarchical model Neural network Hybrid model
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666546824000636