Insights into adaptive cruise control and energy efficiency in electric vehicles

Abstract This observational study explores the effect of adaptive cruise control (ACC) on energy in electric vehicles (EVs) and contrasts the findings with prior research on internal combustion engine (ICE) vehicles. Using real-world driving data, we show that ACC engagement results in a penalty of +6.62 Wh/km, a 2.5% increase over the fleet-level average of 266 Wh/km. This penalty is smaller than that in ICE vehicles, primarily due to the superior efficiency of EV powertrains and the mitigating role of regenerative braking. On average, human drivers achieve higher regenerative braking efficiency than ACC. However, when braking conditions match, ACC marginally outperforms human drivers across most regions of the speed-deceleration map. This research provides insights into the interplay between energy-efficient technologies and driver-assistance systems, and highlights the need to optimize automation algorithms to leverage the unique characteristics of EV powertrains, maximize energy recovery, and support next-generation energy management solutions in transportation.

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Publication Details

Journal
npj Sustainable Mobility and Transport
Published
2025-12-01
DOI
https://doi.org/10.1038/s44333-025-00066-0
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.00

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article

Insights into adaptive cruise control and energy efficiency in electric vehicles

Ayman Moawad, M. Pierre, Dominik Karbowski, Aymeric Rousseau et al.
npj Sustainable Mobility and Transport
Traffic control and management
article

Insights into adaptive cruise control and energy efficiency in electric vehicles

Ayman Moawad, M. Pierre, Dominik Karbowski, Aymeric Rousseau, Matthew Zebiak
article en

Abstract

Abstract This observational study explores the effect of adaptive cruise control (ACC) on energy in electric vehicles (EVs) and contrasts the findings with prior research on internal combustion engine (ICE) vehicles. Using real-world driving data, we show that ACC engagement results in a penalty of +6.62 Wh/km, a 2.5% increase over the fleet-level average of 266 Wh/km. This penalty is smaller than that in ICE vehicles, primarily due to the superior efficiency of EV powertrains and the mitigating role of regenerative braking. On average, human drivers achieve higher regenerative braking efficiency than ACC. However, when braking conditions match, ACC marginally outperforms human drivers across most regions of the speed-deceleration map. This research provides insights into the interplay between energy-efficient technologies and driver-assistance systems, and highlights the need to optimize automation algorithms to leverage the unique characteristics of EV powertrains, maximize energy recovery, and support next-generation energy management solutions in transportation.

npj Sustainable Mobility and TransportVol. 2(1)
General Motors (United States) (US), Argonne National Laboratory (US)
U.S. Department of Energy, University of Chicago, Office of Science, Office of Energy Efficiency and Renewable Energy, Office of Energy Efficiency, Argonne National Laboratory
Openalex Percentile: Top 53%
Traffic control and management
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