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Torque distribution strategy for integrated starter/ generator hybrid bus implemented by fuzzy algorithm
Authors:Hu Zhong  Guo-qiang Ao  Feng Wang  Zi-lin Ma  Xiao-jian Mao  Bin Zhuo
Institution:Institute of Automotive Electrics Technology, School of Mechanical Engineering,Shanghai Jiaotong University, Shanghai, 200240, China
Abstract:A torque distribution strategy was designed by using fuzzy logic to realize the optimal control. Thevehicle load zones were dynamically divided into several zones by several torque lines to indicate the driversdemand and the high or low efficient operating areas of the diesel engine. The fuzzy logic controller withtrapezoid membership function and Mamdani rule reference mechanism was utilized. There are over 100 rulesused in this fuzzy-based torque distribution strategy which are sorted into four rule-bases. The fuel economyand acceleration tests were designed to test and validate the integrated starter/generator (ISG) bus perfor-mance using fuzzy-based torque distribution strategy. The fuel economy is improved 7.7% compared with therule-based strategy. Finally the road test results reveal that there is about 157% improvement of fuel economy.And the 0-50 km/h acceleration time is 9.5% shorter than the original bus.
Keywords:hybrid electric vehicle  integrated starter/generator (ISG)  torque distribution strategy  fuzzylogic control
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