This article supports SDGs 7 and 9 by introducing interpretable artificial intelligence (AI) tools, especially proxy models based on artificial neural networks, efficient variable analysis and optimal value prediction of membrane electrode components in proton exchange membrane fuel cells, thereby improving their performance and reducing computational costs.