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Eco-driving optimal control for electric vehicles with driver preferences

Lot, Roberto; Fleming, James; Chen, Boli; Evangelou, Simos; (2025) Eco-driving optimal control for electric vehicles with driver preferences. Transportation Engineering , 19 , Article 100302. 10.1016/j.treng.2025.100302. Green open access

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Abstract

An optimal control formulation of an eco-driving system for front-wheel drive electric vehicles is proposed in this paper, demonstrating that including an optimal control model of driver preferences in such systems can successfully blend the objective of energy-efficiency with the subjective goals of human drivers, including desired following distances and time headways, a desired vehicle speed, smooth vehicle acceleration, and a comfortable corner negotiation speed. This builds on previous works that developed driver preference models for optimal control, but did not apply them to a realistic model of an EV powertrain to evaluate potential energy savings in practice. The resulting optimal control problem (OCP) is simplified for implementation by using a polynomial approximation of vehicle losses, and a relaxation of regenerative braking constraints that accurately accounts for required braking bias in a front-wheel drive vehicle. In testing, over a simulated 25km journey involving rural, motorway and urban sections, blending driver preferences with energy efficiency in this framework achieves energy savings of 21% with only a 7% decrease in average speed. For car-following scenarios, 10–15% energy savings are achievable with no decrease in average speed.

Type: Article
Title: Eco-driving optimal control for electric vehicles with driver preferences
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.treng.2025.100302
Publisher version: https://doi.org/10.1016/j.treng.2025.100302
Language: English
Additional information: © 2025 The Authors. Published by Elsevier Ltd. under a Creative Commons license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Optimal control, Electric vehicles, ADAS, Eco-driving, Driver modelling
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10203914
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