• Title/Summary/Keyword: Long Term Fuel Trim

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Estimation of Fuel Consumption using Vehicle Diagnosis Data (차량 진단 정보를 이용한 연료 소모량 추정)

  • Park, Chong-Ryol;Jung, Kyung-Kwon;Eom, Ki-Hwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.12
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    • pp.2582-2589
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    • 2011
  • This Paper proposed the prediction method of fuel consumption from vehicle diagnosis informations through OBD-II Interface. We assumed mass air flow (MAF), shor-term fuel trim (STFT), and long-term fuel trim (LTFT) had a relationship with fuel consumption. We got the output as fuel-consumption from MAF, STFT, and LTFT as input variables. We had modelling as combustion reaction equation 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 data.