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In Use Determination of Aerodynamic and Rolling Resistances of Heavy-Duty Vehicles

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  • Dimitrios Komnos

    (FINCONS Group, 20871 Vimercate, Italy
    Mechanical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Stijn Broekaert

    (European Commission Joint Research, 21027 Ispra, Italy)

  • Theodoros Grigoratos

    (European Commission Joint Research, 21027 Ispra, Italy)

  • Leonidas Ntziachristos

    (Mechanical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Georgios Fontaras

    (European Commission Joint Research, 21027 Ispra, Italy)

Abstract

A vehicle’s air drag coefficient (Cd) and rolling resistance coefficient ( RRC ) have a significant impact on its fuel consumption. Consequently, these properties are required as input for the certification of the vehicle’s fuel consumption and Carbon Dioxide emissions, regardless of whether the certification is done via simulation or chassis dyno testing. They can be determined through dedicated measurements, such as a drum test for the tire’s rolling resistance coefficient and constant speed test (EU) or coast down test (US) for the body’s air Cd. In this paper, a methodology that allows determining the vehicle’s Cd · A (the product of Cd and frontal area of the vehicle) from on-road tests is presented. The possibility to measure these properties during an on-road test, without the need for a test track, enables third parties to verify the certified vehicle properties in order to preselect vehicle for further regulatory testing. On-road tests were performed with three heavy-duty vehicles, two lorries, and a coach, over different routes. Vehicles were instrumented with wheel torque sensors, wheel speed sensors, a GPS device, and a fuel flow sensor. Cd · A of each vehicle is determined from the test data with the proposed methodology and validated against their certified value. The methodology presents satisfactory repeatability with the error ranging from −21 to 5% and averaging approximately −6.8%. A sensitivity analysis demonstrates the possibility of using the tire energy efficiency label instead of the measured RRC to determine the air drag coefficient. Finally, on-road tests were simulated in the Vehicle Energy Consumption Calculation Tool with the obtained parameters, and the average difference in fuel consumption was found to be 2%.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:974-:d:482897
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    References listed on IDEAS

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    1. Mullen, Katharine M., 2014. "Continuous Global Optimization in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 60(i06).
    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.
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    Cited by:

    1. Daniel Chindamo & Marco Gadola & Emanuele Bonera & Paolo Magri, 2021. "Sensitivity of Racing Tire Sliding Energy to Major Setup Changes: An Estimate Based on Standard Sensors," Energies, MDPI, vol. 14(16), pages 1-14, August.
    2. Zacharof, Nikiforos & Özener, Orkun & Broekaert, Stijn & Özkan, Muammer & Samaras, Zissis & Fontaras, Georgios, 2023. "The impact of bus passenger occupancy, heating ventilation and air conditioning systems on energy consumption and CO2 emissions," Energy, Elsevier, vol. 272(C).
    3. Barouch Giechaskiel & Dimitrios Komnos & Georgios Fontaras, 2021. "Impacts of Extreme Ambient Temperatures and Road Gradient on Energy Consumption and CO 2 Emissions of a Euro 6d-Temp Gasoline Vehicle," Energies, MDPI, vol. 14(19), pages 1-20, September.

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