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《Journal of South China University of Technology(Natural Science Edition)》 2007-06
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Analysis and Recognizition of Running Cycles of Hybrid Electric Vehicle

Luo Yu-tao1 Hu Hong-fei2 Shen Ji-jun3(1.Guangdong Provincial Key Laboratory of Electric Vehicle Research,South China Univ.of Tech.,Guangzhou 510640,Guangdong,China;2.College of Mechanical Engineering,Guangdong Univ.of Tech.,Guangzhou 510006, Guangdong,China; 3.Guangzhou Honda Automotive Co.Ltd.,Guangzhou 510700,Guangdong,China)  
In this paper,the optimization results of matching and controlling strategies for hybrid electric vehicle(HEV) in various running cycles are analyzed,It is found that the average power demand and its normal difference in a running cycle have a great impact on the HEV matching optimization,and that different fuel consumptions and constant charge state of the battery power unit can be obtained in the same running cycle with different controlling parameters.A novel concept of "Cycle Block" is then put forward,According to the new concept,the average vehicle velocity and average running distance are used as characteristic parameters.Based on the classification of representative cycles,the real-time running cycles are analyzed by fuzzy recognition via a fuzzy controller and are taken as one or several known species.Moreover, a clustering analysis method is presented to correctly reflect the real-time running cycles and to further analyze and recognize the relevant species of running cycles,with ten parameters including the running time and distance and the maximum velocity as the characteristic parameters.Thus,a meticulously self-adaptive controlling strategy of HEV based on the real-time running cycle recognition is finally proposed.
【Fund】: 国家自然科学基金资助项目(50605020);; 广东省科技攻关项目(2006A10501001 2004A11304001)
【CateGory Index】: U469.72
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