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Modeling and Parameterization of Fuel Economy in Heavy Duty Vehicles (HDVs)

Author

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  • Yunjung Oh

    (Graduate School of Hanyang University, Seoul 133-791, Korea)

  • Sungwook Park

    (Graduate School of Hanyang University, Seoul 133-791, Korea)

Abstract

The present paper suggests fuel consumption modeling for HDVs based on the code from the Japanese Ministry of the Environment. Two interpolation models (inversed distance weighted (IDW) and Hermite) and three types of fuel efficiency maps (coarse, medium, and dense) were adopted to determine the most appropriate combination for further studies. Finally, sensitivity analysis studies were conducted to determine which parameters greatly impact the fuel efficiency prediction results for HDVs. While vitiating each parameter at specific percentages (±1%, ±3%, ±5%, ±10%), the change rate of the fuel efficiency results was analyzed, and the main factors affecting fuel efficiency were summarized. As a result, the Japanese transformation algorithm program showed good agreement with slightly increased prediction accuracy for the fuel efficiency test results when applying the Hermite interpolation method compared to IDW interpolation. The prediction accuracy of fuel efficiency remained unchanged regardless of the chosen fuel efficiency map data density. According to the sensitivity analysis study, three parameters (fuel consumption map data, driving force, and gross vehicle weight) have the greatest impact on fuel efficiency (±5% to ±10% changes).

Suggested Citation

  • Yunjung Oh & Sungwook Park, 2014. "Modeling and Parameterization of Fuel Economy in Heavy Duty Vehicles (HDVs)," Energies, MDPI, vol. 7(8), pages 1-24, August.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:8:p:5177-5200:d:39142
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    Citations

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    Cited by:

    1. Ping-Huan Kuo & Hsin-Chuan Chen & Chiou-Jye Huang, 2018. "Solar Radiation Estimation Algorithm and Field Verification in Taiwan," Energies, MDPI, vol. 11(6), pages 1-12, May.
    2. Charyung Kim & Hyunwoo Lee & Yongsung Park & Cha-Lee Myung & Simsoo Park, 2016. "Study on the Criteria for the Determination of the Road Load Correlation for Automobiles and an Analysis of Key Factors," Energies, MDPI, vol. 9(8), pages 1-17, July.
    3. Jigu Seo & Junhong Park & Yunjung Oh & Sungwook Park, 2016. "Estimation of Total Transport CO 2 Emissions Generated by Medium- and Heavy-Duty Vehicles (MHDVs) in a Sector of Korea," Energies, MDPI, vol. 9(8), pages 1-13, August.

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