DocumentCode
572478
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
fYear
2012
fDate
15-17 Aug. 2012
Firstpage
578
Lastpage
582
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics (ICAL), 2012 IEEE International Conference on
Conference_Location
Zhengzhou
ISSN
2161-8151
Print_ISBN
978-1-4673-0362-0
Electronic_ISBN
2161-8151
Type
conf
DOI
10.1109/ICAL.2012.6308144
Filename
6308144
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