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Artificial Intelligence-Assisted Optimization and Multiphase Analysis of Polygon PEM Fuel Cells
[post]
2022
unpublished
Preserved Fulltext
This article presents new hexagonal and pentagonal PEM fuel cell models. The models have been optimized after achieving improved cell performance. The input parameters of the multi-objective optimization algorithm were pressure and temperature at the inlet, and consumption and output powers were the objective parameters. The output data of the numerical simulation has been trained using deep neural networks and then modeled with polynomial regression. The target functions have been extracted
doi:10.26434/chemrxiv-2022-n832m-v2
fatcat:42joshrtdbbkxnehrytwihoqmi