Samenvatting
Signalized intersections can increase the vehicle stops and consequently increase the
energy consumption by forcing stop-and-go dynamics on vehicles. Eco-driving with the help of
connectivity is a solution that could avoid multiple stops and improve energy efficiency. In this paper,
an eco-driving framework is developed, which finds the energy-efficient speed profile both up- and
downstream of a signalized intersection in free-flow situations (eco-FF). The proposed framework
utilizes the signal phasing and timing (SPaT) data that are communicated to the vehicle. The energy
consumption model used in this framework is a combination of vehicle dynamics and time-dependent
auxiliary consumption, which implicitly incorporates the travel time into the function and is validated
with real-world test data. It is shown that, by using the proposed eco-FF framework, the vehicle’s
energy consumption is notably reduced.
energy consumption by forcing stop-and-go dynamics on vehicles. Eco-driving with the help of
connectivity is a solution that could avoid multiple stops and improve energy efficiency. In this paper,
an eco-driving framework is developed, which finds the energy-efficient speed profile both up- and
downstream of a signalized intersection in free-flow situations (eco-FF). The proposed framework
utilizes the signal phasing and timing (SPaT) data that are communicated to the vehicle. The energy
consumption model used in this framework is a combination of vehicle dynamics and time-dependent
auxiliary consumption, which implicitly incorporates the travel time into the function and is validated
with real-world test data. It is shown that, by using the proposed eco-FF framework, the vehicle’s
energy consumption is notably reduced.
| Originele taal-2 | English |
|---|---|
| Artikelnummer | 55 |
| Pagina's (van-tot) | 1-13 |
| Aantal pagina's | 13 |
| Tijdschrift | World Electric Vehicle Journal |
| Volume | 14 |
| Nummer van het tijdschrift | 2 |
| DOI's | |
| Status | Published - feb. 2023 |
Bibliografische nota
Funding Information:This research was funded by SRP56: SRP-Onderzoekszwaartepunt: Autonomous Mobility & Logistics.
Publisher Copyright:
© 2023 by the authors.
Copyright:
Copyright 2023 Elsevier B.V., All rights reserved.
Vingerafdruk
Duik in de onderzoeksthema's van 'Energy-Optimal Speed Control for Autonomous Electric Vehicles Up- and Downstream of a Signalized Intersection'. Samen vormen ze een unieke vingerafdruk.Projecten
- 1 Actief
-
SRP56: SRP-Onderzoekszwaartepunt: Autonomous Mobility & Logistics
Van Mierlo, J. (Administrative Promotor), Macharis, C. (Co-Promoter), Coosemans, T. (Co-Promoter), Hegazy, O. (Co-Promoter), Van Lier, T. (Co-Promoter), Crispeels, T. (Co-Promoter), Guns, T. (Co-Promoter), Vanhaverbeke, L. (Co-Promoter), Rombaut, E. (Medewerker), Berecibar, M. (Co-Promoter), Hesami, S. (Medewerker), Arapoglou, S. (Medewerker), Li, J. (Medewerker), De Cauwer, C. (Wetenschappelijk Promoter) & Vranckx, A. (Medewerker)
1/03/19 → 29/02/28
Project: Fundamenteel
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