Title :
Fuzzy logic control approach to the energy management of Parallel Hybrid Electric Vehicles
Author :
Lu, Dengke ; Li, Weimin ; Xu, Guoqing ; Zhou, Meilan
Author_Institution :
Shenzhen Inst. of Adv. Technol., Shenzhen, China
Abstract :
In this paper, the author proposed an energy management strategy of the Parallel Hybrid Electric Vehicle (PHEV) was that based on the fuzzy logic control for torque distribution between motor and engine. The value D which is the difference value between the torque of the vehicle requirements Tr and the engine goal requires torque Te, and the battery state of charge (SOC) as two of the fuzzy controller input variables and the torque control coefficient C is the output variable of the fuzzy controller. With three different road conditions, simulated respectively between the rule-based of electric assist control strategy and the fuzzy logic control strategies by using the electric vehicle software ADVISOR. The result shows that the design of fuzzy logic energy management strategy can easily control the engine and motor, significantly increasing fuel economy performance and reduced exhaust emissions.
Keywords :
electric motors; fuel economy; fuzzy control; hybrid electric vehicles; internal combustion engines; torque control; ADVISOR electric vehicle software; PHEV; SOC; battery state of charge; design; electric assist control strategy; engine control; exhaust emission reduction; fuel economy; fuzzy logic control approach; fuzzy logic energy management strategy; motor control; parallel hybrid electric vehicles; torque control; torque distribution; Batteries; Energy management; Engines; Fuzzy logic; System-on-a-chip; Torque; Vehicles; Energy Management Strategy (EMS); Parallel Hybrid Electric Vehicle (PHEV); State of charge (SOC);
Conference_Titel :
Information and Automation (ICIA), 2012 International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4673-2238-6
Electronic_ISBN :
978-1-4673-2236-2
DOI :
10.1109/ICInfA.2012.6246882