kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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 control of a long haul automated articulated vehicle for tyre wear minimisation
KTH, School of Engineering Sciences (SCI), Engineering Mechanics. KTH, School of Engineering Sciences (SCI), Centres, VinnExcellence Center for ECO2 Vehicle design.ORCID iD: 0000-0002-5233-637x
KTH, School of Engineering Sciences (SCI), Centres, VinnExcellence Center for ECO2 Vehicle design.
KTH, School of Engineering Sciences (SCI), Centres, VinnExcellence Center for ECO2 Vehicle design. KTH, School of Engineering Sciences (SCI), Engineering Mechanics.ORCID iD: 0000-0002-1426-1936
KTH, School of Engineering Sciences (SCI), Centres, VinnExcellence Center for ECO2 Vehicle design. KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle Engineering and Solid Mechanics.ORCID iD: 0000-0001-8928-0368
2022 (English)In: 2022 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), Institute of Electrical and Electronics Engineers (IEEE) , 2022Conference paper, Published paper (Refereed)
Abstract [en]

Emission control technologies and propulsion systems are developed to decrease exhaust particle emissions. However, more work must be done on non-exhaust traffic related sources such as tyre wear. The driving conditions are the most dominant regarding tyre wear. The advent of automated vehicles enables automotive engineers to control the vehicle for further decreasing tyre wear. This work presents the formulation of an optimal control problem for the trajectory optimisation of long haul articulated vehicles to minimise tyre wear in loaded and unloaded conditions. The conclusions pave the way for getting closer to the zero-emission goal.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022.
Series
IEEE Vehicle Power and Propulsion Conference, ISSN 1938-8756
Keywords [en]
trajectory planning, optimal control, articulated vehicles, tyre wear, energy-efficiency
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:kth:diva-324870DOI: 10.1109/VPPC55846.2022.10003447ISI: 000925907200122Scopus ID: 2-s2.0-85146730791OAI: oai:DiVA.org:kth-324870DiVA, id: diva2:1744494
Conference
IEEE Vehicle Power and Propulsion Conference (VPPC), NOV 01-04, 2022, Merced, CA
Note

QC 20230320

Available from: 2023-03-20 Created: 2023-03-20 Last updated: 2023-03-20Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Papaioannou, GeorgiosJerrelind, JennyDrugge, Lars

Search in DiVA

By author/editor
Papaioannou, GeorgiosMaroof, VallanJerrelind, JennyDrugge, Lars
By organisation
Engineering MechanicsVinnExcellence Center for ECO2 Vehicle designVehicle Engineering and Solid Mechanics
Vehicle Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 31 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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