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