DocumentCode :
265117
Title :
Fuel efficiency optimization of input-split hybrid electric vehicle using DIRECT algorithm
Author :
Panday, Aishwarya ; Bansal, Hari Om
Author_Institution :
Dept. of Electr. & Electron. Eng., Birla Inst. of Technol. & Sci., Pilani, India
fYear :
2014
fDate :
15-17 Dec. 2014
Firstpage :
1
Lastpage :
6
Abstract :
For cleaner and greener future, Hybrid vehicle has been accepted as best practical applications for transportation. The presence of two power sources, i.e. engine and battery in hybrid electric vehicles makes it necessary to intelligently split the power for lesser fuel consumption. An intelligent power management strategy is developed to fulfil on road power demand with good fuel economy. This article uses DIRECT method to control toggling between the engine and battery to reduce the overall liquid fuel consumption. The battery charge is utilized effectively without deteriorating its health. The control strategy is based on the optimization of vital parameters such as state of charge in the battery, engine idle speed, engine on duration and power demand. Numerous simulations are executed on the advanced vehicle simulator (ADVISOR) to authenticate the feasibility of the proposed controller.
Keywords :
battery management systems; energy management systems; fuel economy; hybrid electric vehicles; optimal control; optimisation; DIRECT algorithm; battery charge; control strategy; fuel economy; fuel efficiency optimization; input-split hybrid electric vehicle; intelligent power management strategy; liquid fuel consumption; road power demand; toggling control; vital parameter optimization; Batteries; Engines; Fuel economy; System-on-chip; Torque; Vehicles; DIRECT algorithm; Fuel economy; Hybrid electric vehicle; State of charge; energy optimization; power-split configuration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial and Information Systems (ICIIS), 2014 9th International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4799-6499-4
Type :
conf
DOI :
10.1109/ICIINFS.2014.7036640
Filename :
7036640
Link To Document :
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