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Fuel-efficient heav...
Fuel-efficient heavy-duty vehicle platooning by look-ahead control
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- Turri, Valerio (author)
- KTH,Reglerteknik
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- Besselink, Bart (author)
- KTH,Reglerteknik
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- Mårtensson, Jonas (author)
- KTH,Reglerteknik
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- Johansson, Karl H. (author)
- KTH,ACCESS Linnaeus Centre,Reglerteknik
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(creator_code:org_t)
- IEEE conference proceedings, 2014
- 2014
- English.
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In: Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on. - : IEEE conference proceedings. - 9781479977468 ; , s. 654-660
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https://kth.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- Platooning
- optimal control
- look-ahead control
- dynamic programming
- distributed model predictive control
- Electrical Engineering
- Elektro- och systemteknik
Publication and Content Type
- ref (subject category)
- kon (subject category)
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