Parameter characterization of HTPEMFC using numerical simulation and genetic algorithms

Sensitivity Analysis of Operational Parameters of a High Temperature-Proton Exchange Membrane Fuel Cell

“…In order to cut down the number of trails to get the best combination of the influential parameters and their values to achieve better cell performance and species distribution, optimization methods play a vital role. There are various optimization methods such as scenario analysis, 33 regression analysis, 34 neural networks, 35 structural equation, 36 genetic algorithm, 37 Taguchi design, 38 response surface methodology, 39 Box-Behnken design, 39,40 and Monte Carlo simulations 41 are extensively used. A very few articles can be found in HT-PEMFC on these optimization methods to evaluate the sensitivity of the parameters.…”