Publications
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
Estimation of the inertial parameters of vehicles with electric propulsion
Chalmers Tekniska Högskola. (Vehicle dynamics)
Swedish National Road and Transport Research Institute, Traffic and road users, Vehicle technology and simulation. Chalmers Tekniska Högskola. (Vehicle Dynamics)
BorgWarner TorqTransfer Systems,.
Kungliga Tekniska Högskolan.
Show others and affiliations
2015 (English)In: Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering, ISSN 0954-4070, E-ISSN 2041-2991, 1-18 p., 0954-4070Article in journal (Refereed) Published
Abstract [en]

More accurate information about the basic vehicle parameters can improve the dynamic control functions of a vehicle. Methods for online estimation of the mass, the rolling resistance, the aerodynamic drag coefficient, the yaw inertia and the longitudinal position of the centre of gravity of an electric hybrid vehicle is therefore proposed. The estimators use the standard vehicle sensor set and the estimate of the electric motor torque. No additional sensors are hence required and no assumptions are made regarding the tyre or the vehicle characteristics. Consequently, all information about the vehicle is available to the estimator.

The estimators are evaluated using both simulations and experiments. Estimations of the mass, the rolling resistance and the aerodynamic drag coefficient are based on a recursive least-squares method with multiple forgetting factors. The mass estimate converged to within 3% of the measured vehicle mass for the test cases with sufficient excitation that were evaluated. Two methods to estimate the longitudinal position of the centre of gravity and the yaw inertia are also proposed. The first method is based on the equations of motion and was found to be sensitive to the measurement and parameter errors. The second method is based on the estimated mass and seat-belt indicators.

This estimator is more robust and reduces the estimation error in comparison with that obtained by assuming static parameters. The results show that the proposed method improves the estimations of the inertial parameters. Hence, it enables online non-linear tyre force estimators and tyre-model-based tyre–road friction estimators to be used in production vehicles.

Place, publisher, year, edition, pages
2015. 1-18 p., 0954-4070
Keyword [en]
Hybrid vehicle, Sensor, Torque, Estimation, Mass, Yaw (veh), Rolling resistance, Aerodynamics, Gravity
National Category
Control Engineering
Research subject
90 Road: Vehicles and vehicle technology, 91 Road: Vehicle design and construction
Identifiers
URN: urn:nbn:se:vti:diva-8210DOI: 10.1177/0954407015603864OAI: oai:DiVA.org:vti-8210DiVA: diva2:868351
Available from: 2015-11-10 Created: 2015-11-10 Last updated: 2017-12-01Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Authority records BETA

Bruzelius, Fredrik

Search in DiVA

By author/editor
Bruzelius, Fredrik
By organisation
Vehicle technology and simulation
In the same journal
Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 146 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