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