Title :
Fuzzy Logic Based Control for ISG Hybrid Electric Vehicle
Author :
Ao, Guoqiang ; Zhong, Hu ; Yang, Lin ; Qiang, JiaXi ; Zhuo, Bin
Author_Institution :
Inst. of Automotive Electron. Technol., Shanghai Jiaotong Univ.
Abstract :
A turbocharged diesel engine dominated integrated starter generator (ISG) hybrid electric vehicle (HEV) is proposed. In order to achieve good fuel economy and low emissions performance, a cost function which is the function of fuel economy and emissions is defined and the optimal operation line (OOL) of engine is determined through selecting the minimal value of the cost function. The baseline based fuzzy logic control strategy (BL-FLC) presented here can optimize both the fuel economy and emissions by making this compress-ignition direct-injection (CIDI) engine work at or near its OOL all the time. Also, a baseline control strategy is presented with simulation results. Compared with baseline control strategy, the BL-FLC presented in this paper can obtain 11.7% decrease in fuel consumption on the given drive cycle without sacrificing dynamic performance
Keywords :
diesel engines; electric generators; electric ignition; fuel economy; fuzzy control; hybrid electric vehicles; baseline based fuzzy logic control; compress-ignition direct-injection engine; fuel consumption; fuel economy; fuel emission; hybrid electric vehicle; integrated starter generator; low emission performance; optimal operation line; turbocharged diesel engine; Control systems; Cost function; Diesel engines; Fuel economy; Fuzzy logic; Hybrid electric vehicles; Ice; Torque control; Vehicle dynamics; Vehicle safety;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.156