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Effect of In-Vehicle Parameters on the Vehicle Fuel Economy

  • Min Goo Lee
  • Kyung Kwon Jung
  • Yong Kuk Park
  • Jun Jae Yoo
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 195)

Abstract

This Paper proposed the prediction method of fuel consumption from vehicle information through OBD-II. 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 modeling 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. It was observed that the proposed models using instantaneous engine RPM and TPS can predict the fuel consumption quite well with correlation coefficient were 76% and 88% respectively.

Keywords

Fuel consumption On Board Diagnosis RPM TPS Polynomial equation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Min Goo Lee
    • 1
  • Kyung Kwon Jung
    • 1
  • Yong Kuk Park
    • 1
  • Jun Jae Yoo
    • 1
  1. 1.U-embedded Convergence Research CenterKorea Electronics Technology InstituteSeongnam-siKorea

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