TY - JOUR
TI - Multi-objective optimization of operating parameters of a PEMFC under flooding conditions using the non-dominated sorting genetic algorithm
AU - Abdi Hamid
AU - Messaoudene Noureddine Ait
AU - Kolsi Lioua
AU - Belazzoug Messaoud
JN - Thermal Science
PY - 2019
VL - 23
IS - 6
SP - 3525
EP - 3537
PT - Article
AB - In the present study, the performance of a proton exchange membrane fuel cells is studied under cathode flooding conditions. A 2-D model of water and heat management based on the laws of conservation and electrochemical equations is used. The performance of the proton exchange membrane cell is evaluated on the basis of the computed average current density and its distribution along the channels. Operating parameters are optimized with the objective of maximizing average current density while minimizing its variations. The problem is formulated into a multi-objective form that is solved by the non-dominated sorting genetic algorithm-II to find the optimal Pareto front. The results of the base case are compared to those of the optimized cell. A 38.94% increase in average current density and a 38.8% decrease in standard deviation are obtained.