A multi-objective optimization method for the cathode multilayer catalyst in proton exchange membrane fuel cells (PEMFC)

This invention relates to a multi-objective optimization method for the cathode multilayer catalyst in PEMFC (Proton Exchange Membrane Fuel Cell). It includes the following steps: Establishing a PEMFC model that utilizes a layered design for the cathode catalyst layer, determining evaluation metrics, which include performance-related indicators and oxygen distribution uniformity-related indicators, running the PEMFC model at different cathode catalyst layer structural parameters and operational voltages to gather a dataset, train a proxy model, utilizing the NSGA III algorithm based on optimization goals, the trained proxy model for multi-objective optimization, obtaining a set of Pareto optimal solutions, employing the TOPSIS method based on the Pareto optimal solutions to select corresponding strategies and acquire the optimal combination of structural parameters and operating voltage for the PEMFC cathode multilayer catalyst. This invention efficiently enhances the efficiency of multi-objective optimization and designs fuel cells that are high-performance, highly durable, cost-effective or a combination thereof.