kth.sePublications KTH
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
Contributions of vehicle dynamics to the energy efficient operation of road and rail vehicles
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, Vehicle Dynamics.ORCID iD: 0000-0002-1426-1936
Univ Huddersfield, Inst Rail Res, Huddersfield, W Yorkshire, England..
Univ Surrey, Ctr Automot Engn, Guildford, Surrey, England..
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle Engineering and Solid Mechanics, Vehicle Dynamics. KTH, School of Engineering Sciences (SCI), Centres, VinnExcellence Center for ECO2 Vehicle design.ORCID iD: 0000-0002-2571-4662
Show others and affiliations
2021 (English)In: Vehicle System Dynamics, ISSN 0042-3114, E-ISSN 1744-5159, Vol. 59, no 7, p. 1114-1147Article in journal (Refereed) Published
Abstract [en]

This review addresses efforts made within the field of vehicle dynamics to contribute to the energy efficient operation of road and rail vehicles. Selected investigations of the research community to develop technology solutions to reduce energy consumption are presented. The study explores the impact and potential of relatively mature technologies such as regenerative braking, but also recent research directions that are seeking to develop solutions such as regenerative suspensions, a concept common to both transport modes. Specifically for road vehicles, the study includes rear wheel steering, camber control and torque vectoring, and for rail vehicles active steering and light-weighting. Operationally, there would appear to be great potential for rail vehicles in the wider adoption of connected driver advisory systems, and automatic train control systems, including the application of machine learning techniques to optimise train speed trajectories across a route. Similarly, for road vehicles, predictive and cooperative eco-driving strategies show potential for significant energy savings for connected autonomous vehicles.

Place, publisher, year, edition, pages
Informa UK Limited , 2021. Vol. 59, no 7, p. 1114-1147
Keywords [en]
Vehicle dynamics, energy efficiency, energy savings, energy harvesting
National Category
Vehicle and Aerospace Engineering
Identifiers
URN: urn:nbn:se:kth:diva-298746DOI: 10.1080/00423114.2021.1913194ISI: 000667958100005Scopus ID: 2-s2.0-85108993310OAI: oai:DiVA.org:kth-298746DiVA, id: diva2:1581157
Note

QC 20210719

Available from: 2021-07-19 Created: 2021-07-19 Last updated: 2025-02-14Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Jerrelind, JennyBerg, MatsDrugge, Lars

Search in DiVA

By author/editor
Jerrelind, JennyBerg, MatsDrugge, Lars
By organisation
VinnExcellence Center for ECO2 Vehicle designVehicle Dynamics
In the same journal
Vehicle System Dynamics
Vehicle and Aerospace Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 494 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