Estimation of Fuel Consumption using In-Vehicle Parameters

نویسندگان

  • Min Goo Lee
  • Yong Kuk Park
  • Kyung Kwon Jung
  • Jun Jae Yoo
چکیده

This Paper proposed the estimation 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 equations. We had modeling as quadric function and surface 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 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, TPS and (RPM, TPS) can predict the fuel consumption quite well with the coefficient of determination were 76%, 88% and 71% respectively.

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تاریخ انتشار 2011