DocumentCode :
1610320
Title :
Novel optimization strategy to improve fuel economy for heavy-duty trucks
Author :
Ari, Adam Maina ; Koskie, Sarah ; Chen, Yaobin
Author_Institution :
Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, IUPUI, 723 W. Michigan St. SL-160, Indianapolis, IN 46202, USA
fYear :
2010
Firstpage :
122
Lastpage :
127
Abstract :
Many fuel consumption improvements for heavy-duty diesel engines have been achieved in the area of control and calibration. Few have addressed methods of improving fuel consumption during highway cruising. Since cruise control is activated most of the time during long trips, it should be seen as a viable option for improving fuel economy. If environmental changes and resulting engine load changes can be anticipated, the cruise control operation can be optimized with respect to fuel efficiency. We propose three cruise control reference-shaping strategies to improve engine efficiency and reduce truck on-highway cruising fuel consumption. These strategies would use GPS and computerized terrain maps to predict upcoming engine load changes in order to improve fuel economy. Assumptions are identified and appropriate constraints imposed on the fuel consumption, vehicle speed and nominal mission time. The algorithms of the three shaping strategies predict torque in order to prevent engine lug back and improve fuel economy. The algorithms were tested using a Matlab simulation on five routes. On average over the routes, fuel improvement of 1.77% was achieved.
Keywords :
Fuels; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Electronics and Safety (ICVES), 2010 IEEE International Conference on
Conference_Location :
QingDao, China
Print_ISBN :
978-1-4244-7124-9
Type :
conf
DOI :
10.1109/ICVES.2010.5550936
Filename :
5550936
Link To Document :
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