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Longitudinal Velocity and Road Slope Estimation in Hybrid Electric Vehicles Employing Early Detection of Excessive Wheel Slip
E-AAM Driveline Systems.
Tongji University.
Swedish National Road and Transport Research Institute, Traffic and road users, Vehicle technology and simulation. Chalmers Tekniska Högskola.
2014 (English)In: Vehicle System Dynamics, ISSN 0042-3114, E-ISSN 1744-5159, Vol. 52, no SUPPL. 1, 172-188 p.Article in journal (Refereed) Published
Abstract [en]

Vehicle speed is one of the important quantities in vehicle dynamics control. Estimation of the slope angle is in turn a necessity for correct dead reckoning from vehicle acceleration. In the present work, estimation of vehicle speed is applied to a hybrid vehicle with an electric motor on the rear axle and a combustion engine on the front axle. The wheel torque information, provided by electric motor, is used to early detect excessive wheel slip and improve the accuracy of the estimate. A best-wheel selection approach is applied as the observation variable of a Kalman filter which reduces the influence of slipping wheels as well as reducing the computational effort. The performance of the proposed algorithm is illustrated on a test data recorded at a winter test ground with excellent results, even for extreme conditions such as when all four wheels are spinning.

Place, publisher, year, edition, pages
Taylor & Francis, 2014. Vol. 52, no SUPPL. 1, 172-188 p.
Keyword [en]
Hybrid vehicle, Slope (gradient), Acceleration, Estimation, Weel, Slipperiness, Mathematical model
National Category
Vehicle Engineering
Research subject
90 Road: Vehicles and vehicle technology, 911 Road: Components of the vehicle
Identifiers
URN: urn:nbn:se:vti:diva-7462DOI: 10.1080/00423114.2014.887737ISI: 000337582400012Scopus ID: 2-s2.0-84901593050OAI: oai:DiVA.org:vti-7462DiVA: diva2:774162
Available from: 2014-12-22 Created: 2014-12-22 Last updated: 2016-08-22Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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  • nn-NO
  • nn-NB
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Output format
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  • asciidoc
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