DocumentCode :
1417695
Title :
Minimum Fuel Control Strategy in Automated Car-Following Scenarios
Author :
Li, Shengbo Eben ; Peng, Huei ; Li, Keqiang ; Wang, Jianqiang
Author_Institution :
Univ. of Michigan, Ann Arbor, MI, USA
Volume :
61
Issue :
3
fYear :
2012
fDate :
3/1/2012 12:00:00 AM
Firstpage :
998
Lastpage :
1007
Abstract :
Fuel consumption of traditional ground vehicles is significantly affected by how the vehicles are driven. This paper focuses on the servo-loop control design of a Pulse-and-Gliding (PnG) strategy to minimize fuel consumption in automated car following. A switching-based framework is proposed for real-time implementation. The corresponding controller was synthesized for ideal conditions and subsequently enhanced to compensate for practical factors such as powertrain dynamics, speed variations, and plant uncertainties. Simulations in both uniform and naturalistic traffic flows demonstrate that, compared with a linear quadratic (LQ)-based benchmark controller, the PnG controller improves fuel economy up to 20%. The significant fuel saving is achieved while maintaining precise range bounds so that the negative impact on safety/traffic flow is contained. The developed algorithm can potentially be embedded in adaptive cruise control systems to achieve fuel-saving function.
Keywords :
control system synthesis; fuel economy; linear quadratic control; road safety; road traffic control; road vehicles; servomechanisms; LQ-based benchmark controller; PnG controller; adaptive cruise control systems; automated car-following scenario; fuel consumption; fuel economy; fuel saving; ground vehicles; linear quadratic controller; minimum fuel control strategy; naturalistic traffic flow; plant uncertainty; powertrain dynamics; pulse-and-gliding strategy; road safety; servo-loop control design; speed variation; switching-based framework; traffic flow; uniform traffic flow; Acceleration; Engines; Fuels; Mechanical power transmission; Switches; Trajectory; Vehicles; Adaptive cruise control; fuel economy; longitudinal automation; optimal driving;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2012.2183401
Filename :
6126064
Link To Document :
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