Parameter Optimization of Hybrid Fuel Cell System Based on Genetic Algorithm

Abstract

Based on the power system parameter optimization of the optimization problem of genetic algorithm, genetic algorithm was adopted to optimize the control algorithm parameters. Then the power of fuel cell, the number of lithium batteries as well as the motor power were taken as the design variables, power performance and economic efficiency as the optimization objectives, and then the maximum gradient and maximum speed were regarded as the constraint conditions. The relevant parameters in the control strategy of the whole vehicle power system were obtained after genetic optimization. The deviation of the maximum speed was 0.07%, which basically leveled off. The range increased from 283.4km to 309.1km, which somewhat increased. While the gradeability increased by 16.2%, which greatly improved. The optimization results indicated that it was feasible and reliable to apply this optimization scheme to the parameter optimization of hybrid fuel cell automobile power system.