DocumentCode :
1461737
Title :
Ecological Vehicle Control on Roads With Up-Down Slopes
Author :
Kamal, M.A.S. ; Mukai, Masakazu ; Murata, Junichi ; Kawabe, Taketoshi
Author_Institution :
Fukuoka Ind. Sci. & Technol. Found., Fukuoka, Japan
Volume :
12
Issue :
3
fYear :
2011
Firstpage :
783
Lastpage :
794
Abstract :
This paper presents a novel development of an ecological (eco) driving system for running a vehicle on roads with up-down slopes. Fuel consumed in a vehicle is greatly influenced by road gradients, aside from its velocity and acceleration characteristics. Therefore, optimum control inputs can only be computed through anticipated rigorous reasoning using information concerning road terrain, model of the vehicle dynamics, and fuel consumption characteristics. In this development, a nonlinear model predictive control method with a fast optimization algorithm is implemented to derive the vehicle control inputs based on road gradient conditions obtained from digital road maps. The fuel consumption model of a typical vehicle is formulated using engine efficiency characteristics and used in the objective function to ensure fuel economy driving. The proposed eco-driving system is simulated on a typical road with various shapes of up-down slopes. Simulation results reveal the ability of the eco-driving system in significantly reducing fuel consumption of a vehicle. The fuel saving behavior is graphically illustrated, compared, and analyzed to focus on the significance of this development.
Keywords :
cartography; control engineering computing; driver information systems; energy conservation; nonlinear control systems; optimal control; optimisation; predictive control; road vehicles; vehicle dynamics; digital road maps; ecological driving system; ecological vehicle control; engine efficiency characteristics; fast optimization algorithm; fuel consumption characteristics; nonlinear model predictive control method; optimum control inputs; road gradient conditions; road terrain; up-down slopes; vehicle dynamics; Acceleration; Biological system modeling; Driver circuits; Engines; Fuels; Roads; Vehicles; Driver-assistance system; eco-driving; model predictive control;
fLanguage :
English
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1524-9050
Type :
jour
DOI :
10.1109/TITS.2011.2112648
Filename :
5721826
Link To Document :
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