Wheel force measurement for vehicle dynamics control using an intelligent bearing

Stijn Kerst, Barys Shyrokau, Edward Holweg

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Abstract

    The measurement and estimation of wheel loads is an interesting and complex topic relevant for vehicle dynamics control. Accurate wheel load information allows for more straight-forward, more robust and more efficient control. In this paper a novel model based wheel load reconstruction approach is presented. An Unscented Kalman Filter is used to reconstruct the unknown wheel loads by analysis of the deformation of the bearing outer-ring. The performance of the approach is demonstrated by field tests using an instrumented passenger car. Results show that the proposed approach is well able to reconstruct both tilting and self-aligning moments as well as lateral and vertical wheel forces during various steering maneuvers.
    Original languageEnglish
    Title of host publicationProceedings of the 13th International Symposium on Advanced Vehicle Control (AVEC’ 16)
    EditorsJohannes Edelmann, Manfred Plöchl, Peter E. Pfeffer
    Place of PublicationLeiden, The Netherlands
    PublisherCRC Press
    Pages547-552
    ISBN (Electronic)978-1-351-96671-9
    ISBN (Print)978-1-138-02992-7
    DOIs
    Publication statusPublished - 2016
    Event13th International Symposium on Advanced Vehicle Control - Munich, Germany
    Duration: 13 Sept 201616 Sept 2016
    Conference number: 13

    Conference

    Conference13th International Symposium on Advanced Vehicle Control
    Abbreviated titleAVEC '16
    Country/TerritoryGermany
    CityMunich
    Period13/09/1616/09/16

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