Research on Fuel Cell Performance Simulation Based on Genetic Algorithm

Firstly, the polarization curve model was improved and genetic algorithm was applied to optimize the polarization curve model; Then a fast calculation model for fuel cell flow distribution based on flow network method was established, and genetic algorithm was combined with flow network method program to study the optimization problem of fuel cell stack flow distribution under the comprehensive influence of temperature, flow rate, working fluid properties, humidity, inlet pressure and other conditions. This article provides a simulation method for optimizing the operating parameters and performance of fuel cells, which can simulate the internal flow distribution of fuel cells and predict their lifespan, so that developers can optimize the internal structure of fuel cells based on this model.