| Summary: | 碩士 === 國防大學理工學院 === 兵器系統工程碩士班 === 100 === Due to the global warming and energy depletion, fuel cells have received deep
attention as convenient and efficient power sources for future electric vehicles. The
basic principle of a fuel cell battery uses hydrogen and oxygen as fuel, where the
product of the reactants is water and electricity. Currently, the proton exchange
membrane fuel cell (PEMFC), which can be operated in lower temperature, is
generally used in next-generation fuel cell electric vehicles. However, the
electrochemical conversion of a fuel cell is complex in control mechanism and
control variables. Therefore, it is not easy to achieve a high efficiency output when
the fuel cell is used by electric vehicles. In this study, a nonlinear fuzzy intelligent
control is used in a feedback control loop of fuel cells. The speed of the vehicle, slope
information of the road, and consumption of the current of the fuel cell are correlated
to give control of the cathode-level side is exhaust adjusting frequency of the fuel cell
in order to achieve a maximum output power performance. Based on the results of
actual road test, it is demonstrated that compared to traditional controls by the anode
hydrogen intake rate, the developed method is much simpler and easier for fuel cell
system control.
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