Optimization of Parameter Matching for PEM Fuel Cell Hybrid Power System

A multi-objective optimization based parameter configuration method is proposed to study the parameter matching problem of a hybrid power system for fuel cell vehicles, which consists of a fuel cell, a battery, and a supercapacitor. A multi-objective optimization function that the evaluation criteria are the life cycle cost of the hybrid system and the daily performance degradation rate of the fuel cell is established, and the NSGA-II algorithm is used to design the parameter optimization process. Specific operating conditions are used for simulation verification. The results indicate that the scheme with the minimum degradation rate has a 23.5% lower daily fuel cell degradation rate than the one with the minimum cost, and a reasonable configuration can reduce the degradation rate of the fuel cell without causing a sharp increase in cost.