Title :
Fuzzy logic torque control strategy for parallel hybrid electric vehicles
Author :
Zhang Yi ; Liu HePing
Author_Institution :
State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China
Abstract :
In this paper, a design method of a fuzzy torque control strategy (FTCS) is presented for parallel hybrid electric vehicles (PHEVs). Considering all components as one system, the controller receives vehicle information such as the driver command, the state of charge (SOC) of the battery, and the motor/generator speed as input to determine the torque distribution between electric motor (EM) and internal combustion engine (ICE). The simulation results reveal a potential efficiency improvement in all components especially the fuel economy by comparing with the conventional logic torque control strategy (LTCS) which uses precise threshold parameters.
Keywords :
battery powered vehicles; control system synthesis; electric generators; electric motors; fuzzy control; hybrid electric vehicles; internal combustion engines; torque control; PHEV; battery SOC; electric motor; fuzzy logic torque control strategy; generator speed; internal combustion engine; parallel hybrid electric vehicle; state of charge; torque distribution; vehicle information; Batteries; Fuzzy logic; Hybrid electric vehicles; Ice; System-on-a-chip; Torque; Control strategy; Fuzzy logic control; Hybrid electric vehicles; Optimal control; Torque distribution;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6019610