Browse > Article

Mathematical Modeling & Empirical Analysis for Estimation of Fuel Consumption using OBD-II Data in Vehicle  

Lee, Min-Goo (Korea Electronics Technology Institute)
Park, Yong-Guk (Korea Electronics Technology Institute)
Jung, Kyung-Kwon (Korea Electronics Technology Institute)
Yoo, Jun-Jae (Korea Electronics Technology Institute)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.48, no.2, 2011 , pp. 9-14 More about this Journal
Abstract
This Paper proposed the prediction method of fuel consumption from vehicle informations through OBD-II Interface. We assumed RPM, TPS had a relationship with fuel consumption. We got the output as fuel-consumption from a vehicle RPM, TPS as input by using polynomial equation. We had modelling as quadric function with OBD-II data and fuel consumption data supported by automotive company in real. In order to verify the effectiveness of proposed method, 5 km real road-test was performed. The results showed that the proposed method can estimate precisely the fuel consumption from vehicle multi-data.
Keywords
OBD-II;
Citations & Related Records
연도 인용수 순위
  • Reference
1 조남건, "교통부문의 에너지위기 대응과 시사점," 에너지와 국토관리 3, 33-44쪽, 2006년
2 한현상, 이동규, 이종화, 박진일, 박경석, "상용차에서의 연비 기여도 분석," 한국자동차공학회 2005년도 추계학술대회 논문집, 522-526쪽, 2005년
3 Joeri Van Mierlo, Gaston Maggetto, Erik van de Burgwal Raymond Gense, Assessment of the Influence on Vehicle Emissions of Driving Style, VehicleTechnology and Traffic Measure, 2002.
4 Hu Jie, Yan Fuwu, Tian Jing, Wang Pan, Cao Kai, "Developing PC-Based Automobile Diagnostic System Based on OBD System," Power and Energy Engineering Conference (APPEEC), pp. 1-5, 2010.
5 Chin E. Lin, Ying-Shing Shiao, Chih-Chi Li, Sung-Huan Yang, Shun-Hua Lin, and Chun-Yi Lin, "Real-Time Remote Onboard Diagnostics Using Embedded GPRS Surveillance Technology," IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 56, NO. 3, pp. 1108-1118, MAY 2007.   DOI
6 ELM Electronics, http://www.elmelectronics.com/
7 OBD, http://en.wikipedia.org/wiki/On-board_diagnostics