A novel method for accurate and enhanced prediction of proton exchange membrane fuel cell performance based on graph neural networks

Hongwei Li, Qiwen Wang, Lei Wang, Zhicheng Hou, Binxin Qiao, Yue Yang, School of Energy and Power Engineering, Northeast Electric Power University, Jilin Polytechnic of Water Resources and Electric Engineering, College of Electronic and Information Engineering, Changchun University, School of Future Technology, an Jiaotong University, School of Electrical Engineering, Northeast Electric Power University

Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy

Published online on November 26, 2025

Abstract

Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, Ahead of Print.
This study introduces a novel prediction method that utilizes graph neural networks (GNN) to enhance the prediction accuracy and thereby improve the durability of PEM fuel cell. This method leverages the ability of GNN to extract features from graph-...