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
ISBN (Electronic)978-1-351-96671-9
ISBN (Print)978-1-138-02992-7
Publication statusPublished - 2016
Event13th International Symposium on Advanced Vehicle Control - Munich, Germany
Duration: 13 Sep 201616 Sep 2016
Conference number: 13


Conference13th International Symposium on Advanced Vehicle Control
Abbreviated titleAVEC '16

ID: 11232921