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Study on the Criteria for the Determination of the Road Load Correlation for Automobiles and an Analysis of Key Factors

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  • Charyung Kim

    (Korea Automobile Testing & Research Institute, Hwaseong-si, Gyeonggi-do 18247, Korea
    School of Mechanical Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul 02841, Korea)

  • Hyunwoo Lee

    (Korea Automobile Testing & Research Institute, Hwaseong-si, Gyeonggi-do 18247, Korea)

  • Yongsung Park

    (Korea Automobile Testing & Research Institute, Hwaseong-si, Gyeonggi-do 18247, Korea)

  • Cha-Lee Myung

    (School of Mechanical Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul 02841, Korea)

  • Simsoo Park

    (School of Mechanical Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul 02841, Korea)

Abstract

To determine the fuel economy and emissions of a vehicle using a chassis dynamometer, the load to which the vehicle is subjected when it actually runs on a road, or the road load specifications, must be simulated when the dynamometer is applied. The most commonly used method to measure road load specifications is coastdown testing. Currently, road load is measured and provided by the manufacturer of the vehicle. Verification of the accuracy of the manufacturer’s reported road load specifications by a third party may reveal that the specifications are inaccurate, possibly because of different testing locations, test drivers or test equipment. This study aims at identifying key factors that can affect a vehicle’s road load correlation by using experimental design and deriving criteria for determining the correlation based on the energy difference.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:8:p:575-:d:74653
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    References listed on IDEAS

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    1. Michael Ben-Chaim & Efraim Shmerling & Alon Kuperman, 2013. "Analytic Modeling of Vehicle Fuel Consumption," Energies, MDPI, vol. 6(1), pages 1-11, January.
    2. 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.
    3. Fontaras, Georgios & Samaras, Zissis, 2010. "On the way to 130 g CO2/km--Estimating the future characteristics of the average European passenger car," Energy Policy, Elsevier, vol. 38(4), pages 1826-1833, April.
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    Cited by:

    1. Siriorn Pitanuwat & Hirofumi Aoki & Satoru Iizuka & Takayuki Morikawa, 2020. "Development of Hybrid-Vehicle Energy-Consumption Model for Transportation Applications—Part I: Driving-Power Equation Development and Coefficient Calibration," Energies, MDPI, vol. 13(2), pages 1-20, January.
    2. Dimitrios Komnos & Stijn Broekaert & Theodoros Grigoratos & Leonidas Ntziachristos & Georgios Fontaras, 2021. "In Use Determination of Aerodynamic and Rolling Resistances of Heavy-Duty Vehicles," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    3. Kangjin Kim & Wonyong Chung & Myungsoo Kim & Charyung Kim & Cha-Lee Myung & Simsoo Park, 2020. "Inspection of PN, CO 2 , and Regulated Gaseous Emissions Characteristics from a GDI Vehicle under Various Real-World Vehicle Test Modes," Energies, MDPI, vol. 13(10), pages 1-17, May.
    4. Christian Engström & Per Öberg & Georgios Fontaras & Barouch Giechaskiel, 2022. "Considerations for Achieving Equivalence between Hub- and Roller-Type Dynamometers for Vehicle Exhaust Emissions," Energies, MDPI, vol. 15(20), pages 1-23, October.

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