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Estimation of tank-to-wheel efficiency functions based on type approval data

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  • Hjelkrem, Odd André
  • Arnesen, Petter
  • Aarseth Bø, Torstein
  • Sondell, Rebecka Snefuglli

Abstract

The representation of tank-to-wheel efficiency is for many modelling purposes simplified to a constant value. However, the relationship between tank-to-wheel efficiency and operational properties is not necessarily constant. As a result, situations with both favorable and unfavorable driving conditions will not be adequately represented in instruments for decision making. In this paper, we address this issue by estimating tank-to-wheel efficiency functions customized for use in transport and traffic modelling applications. The functions are estimated by sum of squares on aggregated data, with two different seed functions from a theoretical basis. The level of detail in the estimated functions provide more complexity for evaluations of transport systems in terms of energy and fuel usage, while avoiding too complex modelling of internal engine processes or vehicle specific type parameters. Data sets from vehicle type approval tests are used for the estimation process, and validation tests suggest that a tank-to-wheel efficiency function outperforms a constant value.

Suggested Citation

  • Hjelkrem, Odd André & Arnesen, Petter & Aarseth Bø, Torstein & Sondell, Rebecka Snefuglli, 2020. "Estimation of tank-to-wheel efficiency functions based on type approval data," Applied Energy, Elsevier, vol. 276(C).
    • Handle: RePEc:eee:appene:v:276:y:2020:i:c:s0306261920309752
    DOI: 10.1016/j.apenergy.2020.115463
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    References listed on IDEAS

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    Cited by:

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    2. Lukas Netzer & David Wöss & Thomas Märzinger & Werner Müller & Tobias Pröll, 2022. "Impact of an E-Highway on the Required Battery Capacities and Charging Infrastructure for Cargo Transport with E-Trucks on the Basis of a Real Use Case," Energies, MDPI, vol. 15(19), pages 1-16, September.
    3. Themistoklis Stamadianos & Nikolaos A. Kyriakakis & Magdalene Marinaki & Yannis Marinakis, 2023. "Routing Problems with Electric and Autonomous Vehicles: Review and Potential for Future Research," SN Operations Research Forum, Springer, vol. 4(2), pages 1-34, June.
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    5. Christoph Kern & Andreas Jess, 2021. "Reducing Global Greenhouse Gas Emissions to Meet Climate Targets—A Comprehensive Quantification and Reasonable Options," Energies, MDPI, vol. 14(17), pages 1-21, August.

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