Study Of Optimal Parameter Matching And Optimal Control For Fuel Cell Electronic Vehicle With Ultracapacitor

Energy source shortage and environment pollution arising from automobile industry have been given more and more attention all over the world. The fuel cell automobile has prominent superiority such as highly effective and non-pollution comparing with the traditional internal combustion engine automobile. The fuel cell automobile is better than the other battery electric automobile obviously in the cost and the overall performance, especially in the traveling distance and in the time used for supplying fuel. And the fuel origin of fuel cell is widespread and renewable; it may realize the environmental protection standards of non-pollution and zero emissions. That makes Fuel Cell Hybrid Electric Vehicle become the hot point for the development of global electric vehicle, and tend to be the trend.Because the dynamic response of the fuel cell system is very slow, it can't achieve the requirement of vehicles when starting-up, accelerating and crawling the steep slope. So an additional energy system is needed to atonement the insufficiency. As auxiliary energy source, the ultracapacitor group may enable fuel cell to achieve the operating temperature very quickly. It is the ideal mix power pattern that combining the high power density of ultracapacitor and the high energy density of the fuel cell, it is very suitable to be used in the passenger vehicle and the urban public transportation. When the quite big auxiliary power is necessary, ultracapacitor displays main function, it rapidly discharges and provides the enough power. In the process of energy recycling when the automobile brake, ultracapacitor recycles a lot of regenerative braking power, then the service life of the system is extended, the efficiency of the automobile dynamic system is raised.This paper formulates the controlling strategy of energy system for Fuel Cell Electric Vehicle With Ultracapacitor. By a light vehicle as a model, using the simulation software ADVISOR, parameters matching and performance simulation is proceeded for Fuel Cell Electric Vehicle With Ultracapacitor. Therefore, the major study contents done in this paper are as follows:It is systematically analyzed such as the driving performance of electric vehicles, mechanism characters of fuel cell, and the application of MATLAB and ADVISOR.Based on the analyses of ultracapacitor's theories and it's types and it's characters, according to the power configuration of electronic vehicles, parameters matching is done for the Fuel Cell Electric Vehicle With Ultracapacitor. The connection form of driving system of fuel-cell electronic vehicle with ultracapacitor is determined, the models is built for the major components of the vehicle, the controlling strategy of energy management for the Fuel Cell Electric Vehicle With Ultracapacitor is formulated, the basic formula of dynamic programming method and optimization theory of the Electric Vehicle is analyzed. Using light vehicle as a example,according to the controlling strategy of energy management for Fuel Cell Electric Vehicle With Ultracapacitor, selecting classic conditions, by MATLAB/ADVISOR software, the paper conducts simulation experiments for the parameter matching and configuration. Comparing the results of simulation testifies, the efficacy of the controlling strategy is verified and the number of single series capacitor is selected optimally, which improves fuel's economy and the power performance is guaranteed at the same time.Finally, the research work in this thesis is concluded, and the interested directions in the future are described.