Title :
Investigation of EMS based on fuzzy logic controller for an ICE/battery/UC hybrid electric vehicle
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
Abstract :
The EMS(energy management strategy) based on fuzzy logic is presented in this paper, which is designed in MATLAB and Simulink to control the torque of the engine. The required torque and the SOC(state of charge) of the battery and UC (ultracapacitor) are used as the inputs of the EMS. The EMS is mainly consisted of two FLCs(fuzzy logic controller), which are switched according to the SOC of the UC. The hybrid power system is designed with battery and UC. By reproducing ADVISOR, the simulation is implemented in UDDS and HWFET driving cycle. The simulation results show that the average efficiency of the internal combustion engine(ICE) is improved in different driving cycles. And the operating current of the battery is decreased evidently.
Keywords :
automotive engineering; digital simulation; energy management systems; fuzzy control; hybrid electric vehicles; internal combustion engines; secondary cells; torque control; HWFET driving cycle; MATLAB; Simulink; UDDS; advanced vehicle simulator; battery; charge state; energy management strategy; fuzzy logic controller; hybrid power system design; internal combustion engine; torque control; ultracapacitor hybrid electric vehicle; Batteries; Engines; Hybrid power systems; Medical services; System-on-a-chip; Torque; Vehicles; energy management strategy; fuzzy control; hybrid power system; parallel hybrid electric vehicle;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6010016
