53 0

Modeling and Parameterization of Fuel Economy in Heavy Duty Vehicles (HDVs)

Title
Modeling and Parameterization of Fuel Economy in Heavy Duty Vehicles (HDVs)
Author
박성욱
Keywords
heavy duty vehicle (HDV); Japanese transformation algorithm program; inversed distance weighted (IDW) and Hermite interpolation method; fuel efficiency map; sensitivity analysis
Issue Date
2014-08
Publisher
MDPI AG
Citation
ENERGIES, 2014, 7(8), P.5177-5200
Abstract
The present paper suggests fuel consumption modeling for HDVs based on the code from the Japanese Ministry of the Environment. Two interpolation models (inversed distance weighted (IDW) and Hermite) and three types of fuel efficiency maps (coarse, medium, and dense) were adopted to determine the most appropriate combination for further studies. Finally, sensitivity analysis studies were conducted to determine which parameters greatly impact the fuel efficiency prediction results for HDVs. While vitiating each parameter at specific percentages (+/- 1%, +/- 3%, +/- 5%, +/- 10%), the change rate of the fuel efficiency results was analyzed, and the main factors affecting fuel efficiency were summarized. As a result, the Japanese transformation algorithm program showed good agreement with slightly increased prediction accuracy for the fuel efficiency test results when applying the Hermite interpolation method compared to IDW interpolation. The prediction accuracy of fuel efficiency remained unchanged regardless of the chosen fuel efficiency map data density. According to the sensitivity analysis study, three parameters (fuel consumption map data, driving force, and gross vehicle weight) have the greatest impact on fuel efficiency (+/- 5% to +/- 10% changes).
URI
http://www.mdpi.com/1996-1073/7/8/5177http://hdl.handle.net/20.500.11754/54114
ISSN
1996-1073
DOI
10.3390/en7085177
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > MECHANICAL ENGINEERING(기계공학부) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE