This paper establishes the simulation model of fuel cell hybrid golf cart (FCHGC), which applies the non-GUI mode of the Advanced Vehicle Simulator (ADVISOR) and the genetic algorithm (GA) to optimize it. Simulation of the objective function is composed of fuel consumption and vehicle dynamic performance; the variables are the fuel cell stack power sizes and the battery numbers. By means of simulation, the optimal parameters of vehicle power unit, fuel cell stack, and battery pack are worked out. On this basis, GUI mode of ADVISOR is used to select the rated power of vehicle motor. In line with simulation parameters, an electrical golf cart is refitted by adding a 2 kW hydrogen air proton exchange membrane fuel cell (PEMFC) stack system and test the FCHGC. The result shows that the simulation data is effective but it needs improving compared with that of the real cart test.
Abstract-This study investigates the configuration and optimization of an energy system for Polymeric electrolyte membrane fuel cell (PEMFC) based hybrid vehicle. The energy system determines the fuel economy and dynamic performance of the vehicle. Hence, this investigation stresses the optimal energy distribution for the three power sources, namely the fuel cell, battery and super-capacitor. In particular, an optimal energy distribution control strategy is undertaken in the auxiliary energy provider comprising a battery and super-capacitor, which can enhance the dynamic performance of the vehicle and prolong the life of its components. Advanced vehicle simulator (ADVISOR) is used in this research to determine an optimal energy distribution control strategy and achieves a good estimate of the performance of the PEMFC hybrid vehicle, saving time and cost.
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