Int J Automot Technol Search

CLOSE


International Journal of Automotive Technology > Volume 22(6); 2021 > Article
International Journal of Automotive Technology 2021;22(6): 1735-1742.
doi: https://doi.org/10.1007/s12239-021-0149-5
STUDY ON ANALYSIS OF REAL ROAD DRIVING CHARACTERISTICS OF HEAVY-DUTY GAS DELIVERY TRACTOR
Jae Woo Chung, Beom Ho Lee, Si Won Lee, Deok Jin Kim, Ji Young Park, Young Mo Goo
Korea Automotive Technology Institute
PDF Links Corresponding Author.  Jae Woo Chung , Email. jwchung@katech.re.kr
ABSTRACT
Recently, there has been increasing interest in reducing hazardous and CO2 emissions from vehicles. For emission reduction, it is necessary to analyze operating conditions of vehicles by using real on-road data and to improve their effective performance. In particular, for heavy-duty vehicles, technical improvements and operational management are critical in terms of air quality management, for although the number of vehicles is small, the duration and level of emissions are relatively high. However, research data obtained from analyses of driving characteristics of heavy-duty domestic delivery vehicles are relatively insufficient. Technically, there are many difficulties in setting driving conditions for such analysis, such as measuring driving resistance and determining variations in the vehicle mass with the amount of freight. In this study, on the basis of the speed and engine output data of a heavy-duty gas delivery tractor obtained during real road driving, the driving characteristics of the vehicle was analyzed, its weight was estimated, and the effect of the vehicle’s weight on the driving energy and vehicle output was investigated.
Key Words: Real road driving, Heavy-duty vehicle, CO2, Driving mode, Vehicle mass

Editorial Office
21 Teheran-ro 52-gil, Gangnam-gu, Seoul 06212, Korea
TEL: +82-2-564-3971   FAX: +82-2-564-3973   E-mail: manage@ksae.org
About |  Browse Articles |  Current Issue |  For Authors and Reviewers
Copyright © The Korean Society of Automotive Engineers.                 Developed in M2PI
Close layer
prev next