Title :
Energy management strategy for a parallel hybrid electric vehicle using fuzzy logic
Author :
Hannoun, H. ; Diallo, D. ; Marchand, C.
Author_Institution :
Lab. de Genie Electrique de Paris, CNRS, Paris
Abstract :
In this paper a fuzzy logic, rule based control strategy is proposed for a parallel hybrid electric vehicle (HEV). The strategy controls the amount of energy flow among components in order to satisfy the driver demand, optimize energy consumption and reduce polluting emissions. After modelling powertrain components, the strategy is tested by simulation with three speed cycles. An improvement of the ICE efficiency, therefore a reduction of the polluting gas, is obtained and revealed by the operating points of the ICE in the torque speed frame
Keywords :
air pollution control; fuzzy control; hybrid electric vehicles; internal combustion engines; load flow control; power consumption; testing; HEV; ICE efficiency; energy consumption; energy flow controls; energy management strategy; fuzzy logic; fuzzy rule based control strategy; parallel hybrid electric vehicle; polluting emissions reduction; polluting gas reduction; powertrain components; three speed cycles; torque speed frame; Batteries; Electric motors; Energy management; Fuzzy logic; Hybrid electric vehicles; Ice; Mechanical power transmission; Pollution; Propulsion; Road vehicles;
Conference_Titel :
Power Electronics, Electrical Drives, Automation and Motion, 2006. SPEEDAM 2006. International Symposium on
Conference_Location :
Taormina
Print_ISBN :
1-4244-0193-3
DOI :
10.1109/SPEEDAM.2006.1649776
