Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Optimal Speed Trajectory for a Heavy Duty Truck Under Varying Requirements
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Industrial Engineering and Management (ITM), Centres, Integrated Transport Research Lab, ITRL. Scania CV AB, Sweden.ORCID iD: 0000-0003-2923-986X
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Industrial Engineering and Management (ITM), Centres, Integrated Transport Research Lab, ITRL.ORCID iD: 0000-0002-3672-5316
2016 (English)In: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, IEEE, 2016, 820-825 p., 7795650Conference paper, (Refereed)
Abstract [en]

The optimal speed trajectory for a heavy duty truck is calculated by using the Pontryagin’s maximum principle. The truck motion depends on controllable tractive and braking forces and external forces such as air and rolling resistance and road slope. The solution is subject to restrictions such as maximum power and position dependent speed restrictions. The intended application is driving in environments with varying requirements on the velocity due to e.g. legal limits and traffic. In order to limit the vehicle to a speed trajectory that follows the normal traffic flow, data from real truck operation have been analysed and used for setting upper and lower boundaries for the decelerations. To evaluate the solution, simulations have been performed on a segment of a road normally used as a distribution test cycle. Three different policies were compared where the solution adopts to free optimization, optimization following traffic flow and finally cruise control using look-ahead control. Results from the simulations show that fuel consumption and trip time can be reduced simultaneously while following the traffic flow.

Place, publisher, year, edition, pages
IEEE, 2016. 820-825 p., 7795650
Keyword [en]
Vehicles, Fuels, Kinetic energy, Force, Roads, Optimal control, Trajectory
National Category
Control Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-202574DOI: 10.1109/ITSC.2016.7795650ISI: 000392215500129Scopus ID: 2-s2.0-85010042308ISBN: 978-1-5090-1889-5 (print)OAI: oai:DiVA.org:kth-202574DiVA: diva2:1077638
Conference
19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016; Windsor Oceanico HotelRio de Janeiro; Brazil; 1 November 2016 through 4 November 2016
Funder
VINNOVA
Note

QC 20170302

Available from: 2017-02-28 Created: 2017-02-28 Last updated: 2017-03-28Bibliographically approved

Open Access in DiVA

fulltext(470 kB)15 downloads
File information
File name FULLTEXT01.pdfFile size 470 kBChecksum SHA-512
3001561a0399781cd7f1688c7dd665d761ded2540df5c57d1554f2ad0625d7f928a253086ce93a4780fb6e29742c5b768eb9f59de0bb47f2d9cd0e1a4f6cbafb
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Henriksson, ManneMårtensson, Jonas
By organisation
Automatic ControlIntegrated Transport Research Lab, ITRL
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 15 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 48 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf