Title :
Research on energy management and optimization for PHEV
Author :
Zhumu Fu ; Junya Xiao ; Aiyun Gao
Author_Institution :
Electron. & Inf. Eng. Coll., Henan Univ. of Sci. & Technol., Luoyang, China
Abstract :
In order to reduce the fuel consumption and emissions of automobiles, the powertrain structure of Parallel Hybrid Electric Vehicle (PHEV) and the models of main components were firstly established. Then, on the basis of the models, the fuzzy control energy management system (EMS) was designed for PHEV. The fuzzy control energy management strategy was embedded in soft of Advisor for simulation. Finally, the parameters of the powertrain were optimized. Simulation results show that the fuzzy control strategies with parameters optimization not only have improved the fuel economy, but also reduced the emissions of HC, CO and so on, compared with the before parameters optimization.
Keywords :
carbon compounds; energy management systems; fuel economy; fuzzy control; hybrid electric vehicles; hydrogen compounds; optimisation; power transmission (mechanical); Advisor simulation; CO; HC; PHEV; emission reduction; energy management; fuel consumption reduction; fuel economy; fuzzy control; parallel hybrid electric vehicle; parameters optimization; powertrain; Batteries; Energy management; Engines; Optimization; System-on-a-chip; Torque; Vehicles; EMS; Fuzzy Control; Optimization; PHEV;
Conference_Titel :
Automation and Logistics (ICAL), 2012 IEEE International Conference on
Conference_Location :
Zhengzhou
Print_ISBN :
978-1-4673-0362-0
Electronic_ISBN :
2161-8151
DOI :
10.1109/ICAL.2012.6308144