DocumentCode
1734321
Title
Study on genetic- fuzzy control strategy for PHEV drive system
Author
Ma Xianghua ; Ye Yinzhong
Author_Institution
Sch. of Electr. & Electron. Eng., Shanghai Inst. of Technol., Shanghai, China
fYear
2013
Firstpage
7575
Lastpage
7579
Abstract
To improve the fuel economy for driving system of parallel hybrid electric vehicles, in the paper the genetic algorithm is used to optimize the designed fuzzy controller. It has two input variables, which are the torque difference ΔT and the SOC of battery with one output variable the torque coefficient. The fuzzy control strategy before and after optimization is validated in the CYC CHINA cycle via ADVISOR2002. The simulation results show that the optimized fuzzy controller can further improve fuel economy and reduce the fluctuations of the final value of SOC.
Keywords
control system synthesis; electric drives; fuel economy; fuzzy control; genetic algorithms; hybrid electric vehicles; secondary cells; ADVISOR2002; CYC CHINA cycle; PHEV drive system; battery SOC; driving system; fuel economy improvement; fuzzy controller design; genetic algorithm; genetic-fuzzy control strategy; input variables; optimization; parallel hybrid electric vehicles; torque difference; ADVISOR; Fuzzy logic control; PHEV; genetic algorithm; optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2013 32nd Chinese
Conference_Location
Xi´an
Type
conf
Filename
6640772
Link To Document