DocumentCode :
2600363
Title :
Predictive eco-cruise control: Algorithm and potential benefits
Author :
Park, Sangjun ; Rakha, Hesham ; Ahn, Kyoungho ; Moran, Kevin
Author_Institution :
Center for Transp. Mobility, Virginia Tech Transp. Inst., Blacksburg, VA, USA
fYear :
2011
fDate :
June 29 2011-July 1 2011
Firstpage :
394
Lastpage :
399
Abstract :
A vehicle predictive eco-cruise control system is developed that minimizes vehicle fuel consumption levels utilizing roadway topographic information. The predictive eco-cruise control system consists of three components: a fuel consumption model, a powertrain model, and an optimization algorithm. The developed system generates an optimal vehicle control plan using anticipated roadway grade information so that the vehicle can vary its speed within a preset speed window in a fuel-saving manner. The developed system is tested by simulating a vehicle trip on synthetic roadway profiles and compared to a conventional cruise control system performance. Finally, the potential benefits of the predictive eco-cruise control system are quantified for the entire United States.
Keywords :
optimisation; power transmission (mechanical); predictive control; road vehicles; optimization algorithm; powertrain model; predictive eco-cruise control; roadway topographic information; vehicle fuel consumption; Control systems; Fuels; Gears; Optimization; Predictive models; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Integrated and Sustainable Transportation System (FISTS), 2011 IEEE Forum on
Conference_Location :
Vienna
Print_ISBN :
978-1-4577-0990-6
Electronic_ISBN :
978-1-4577-0991-3
Type :
conf
DOI :
10.1109/FISTS.2011.5973639
Filename :
5973639
Link To Document :
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