Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 6109 - 6125

Published: June 1, 2024

Proton exchange membrane fuel cells (PEMFCs) are considered a promising renewable energy source and have sparked lot of interest over the last few years due to their robust efficiency, low operating temperature, longevity. The PEMFC's electrochemical model has seven unknown parameters, which not given in manufacturer's datasheets need be accurately estimated present more accurate model, leading improved efficiency performance PEMFC systems. estimation those parameters been dealt with as complex non-linear optimization problem that needs powerful algorithm solve it. existing algorithms still some disadvantages, such falling into local minima convergence speed, make them ineligible this complicated acceptable accuracy computational cost. Therefore, study presents new parameter technique for estimating accurately, thereby achieving precise modeling PEMFCs. This called IKOA is based on integrating Kepler (KOA) novel Lévy-Normal (LN) mechanism strengthen its exploration exploitation capabilities against multimodal problem. Lévy flight aims improve KOA's operator accelerate speed toward near-optimal solution, thus minimizing cost; meanwhile, normal distribution used operator, aiding escape minima. proposed KOA herein evaluated several rival using six well-known commercial stacks highlight effectiveness. Key metrics cost, fitness measures, statistical validation through Wilcoxon rank-sum test IKOA's effective enhancing predictive operational numerical findings show high superiority all optimizers solved benchmarks.

Language: Английский