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Trade-offs between automation and light vehicle electrification

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Listed:
  • Aniruddh Mohan

    (Carnegie Mellon University)

  • Shashank Sripad

    (Carnegie Mellon University
    Carnegie Mellon University)

  • Parth Vaishnav

    (Carnegie Mellon University
    Carnegie Mellon University)

  • Venkatasubramanian Viswanathan

    (Carnegie Mellon University
    Carnegie Mellon University)

Abstract

Weight, computing load, sensor load and possibly higher drag may increase the energy use of automated electric vehicles relative to human-driven electric vehicles, although this increase may be offset by smoother driving. Here, we use a vehicle dynamics model to evaluate the trade-off between automation and electric vehicle range and battery longevity. We find that automation will likely reduce electric vehicle range by 5–10% for suburban driving and by 10–15% for city driving. The effect on range is strongly influenced by sensor drag for suburban driving and computing loads for city driving. The impact of automation on battery longevity is negligible. While some commentators have suggested that the power and energy requirements of automation mean that the first automated vehicles will be gas–electric hybrids, our results suggest that this need not be the case if automakers can implement energy-efficient computing and aerodynamic sensor stacks.

Suggested Citation

  • Aniruddh Mohan & Shashank Sripad & Parth Vaishnav & Venkatasubramanian Viswanathan, 2020. "Trade-offs between automation and light vehicle electrification," Nature Energy, Nature, vol. 5(7), pages 543-549, July.
    • Handle: RePEc:nat:natene:v:5:y:2020:i:7:d:10.1038_s41560-020-0644-3
    DOI: 10.1038/s41560-020-0644-3
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    Cited by:

    1. Aniruddh Mohan & Parth Vaishnav, 2022. "Impact of automation on long haul trucking operator-hours in the United States," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    2. Whiston, Michael M. & Lima Azevedo, Inês M. & Litster, Shawn & Samaras, Constantine & Whitefoot, Kate S. & Whitacre, Jay F., 2022. "Expert elicitation on paths to advance fuel cell electric vehicles," Energy Policy, Elsevier, vol. 160(C).
    3. Hunt, Julian David & Jurasz, Jakub & Zakeri, Behnam & Nascimento, Andreas & Cross, Samuel & Caten, Carla Schwengber ten & de Jesus Pacheco, Diego Augusto & Pongpairoj, Pharima & Filho, Walter Leal & T, 2022. "Electric Truck Hydropower, a flexible solution to hydropower in mountainous regions," Energy, Elsevier, vol. 248(C).

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