Year: 2025
Type: article
Study design: Observational Study
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.
Authors: Ayman Moawad, Matthew Zebiak, Megan St. Pierre, Dominik Karbowski, Aymeric Rousseau
Institutions: Argonne National Laboratory, General Motors (United States)
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,590
OpenAlex ID: W4416844434