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Fuel-efficient heavy-duty vehicle platooning by look-ahead control
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0002-7177-0702
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0001-5194-3306
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0002-3672-5316
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0001-9940-5929
2014 (English)In: Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on, IEEE conference proceedings, 2014, 654-660 p.Conference paper, Published paper (Refereed)
Abstract [en]

The operation of groups of heavy-duty vehicles at close intervehicular distances (known as platoons) has been shown to be an effective way of reducing fuel consumption. For single vehicles, it is also known that the availability of preview information on the road topography can be exploited to obtain fuel savings. The current paper aims at the inclusion of preview information in platooning by introducing a two-layer control system architecture for so-called look-ahead platooning. Here, the layers are responsible for the inclusion of preview information and real-time vehicle control for platooning, respectively. Within this framework, a control strategy is presented, where dynamic programming is used for the calculation of fuel-optimal speed profiles, while a model predictive control approach is exploited for the real-time vehicle control. The feasibility of this approach is illustrated by means of the simulation of relevant scenarios.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. 654-660 p.
Keyword [en]
Platooning, optimal control, look-ahead control, dynamic programming, distributed model predictive control
National Category
Control Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-163384DOI: 10.1109/CDC.2014.7039456Scopus ID: 2-s2.0-84988241456ISBN: 978-1-4799-7746-8 (print)OAI: oai:DiVA.org:kth-163384DiVA: diva2:799834
Conference
53rd IEEE Conference on Decision and Control,15-17 Dec. 2014 , Los Angeles, USA
Note

QC 20150402

Available from: 2015-03-31 Created: 2015-03-31 Last updated: 2016-12-05Bibliographically approved

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Turri, ValerioBesselink, BartMårtensson, JonasJohansson, Karl H.

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