Research and optimization fuel cell and battery hybrid bus system parameters based on genetic algorithm

Oil deficiency and environment pollution are attracting accumulative attention worldwide. Many countries are developing energy efficient and environment-friendly vehicles in order to solve those two problems. Electric vehicle belongs to one of the most prospective technology in automotive industry. The fuel cell, as the most ideal power supply of the new energy vehicles is a highly efficient, environment-friendly power generation device. Consequently, a kind of Fuel Cell Electric vehicle combined with auxiliary energy is proposed for a hybrid power plant, which can effectively solve the problem of environment pollution and energy shortage. The parameters of a bus were used for a prototype, with the fuel cell and accumulator for the hybrid power. Considering the characteristics of the electric system as well as the power demand from a varieties of working conditions, the parameters were calculated and matched for several primary parts of the hybrid power system. And then a simulation validation were conducted, which indicated the matched parameters of the power transmission system were reasonable, and could met the requirements of dynamic design. Based on the power system parameters, a genetic algorithm was adopted to optimize the control algorithm parameters, in order to enhance power performance and economic efficiency. The optimized performance of the control system was estimated. The deviation of the maximum speed was as negligibly small as 0.07%. The range increased from 283.4 to 309.1 km, while the gradeability increased evidently by 16.2%. The optimization results indicated that it was feasible and reliable to apply this optimization scheme to enhance hybrid fuel cell automobile power system.