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.
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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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