Towards Friction Potential Estimation for Motorcycles

Klinger, Florian; Ott, Christoph; Poks, Agnes; Edelmann, Johannes; Plöchl, Manfred

doi:10.1007/978-3-031-70392-8_78

Datensatz Zitierlink:

http://hdl.handle.net/20.500.12708/205590

Titel:

Towards Friction Potential Estimation for Motorcycles

Zitat:

Klinger, F., Ott, C., Poks, A., Edelmann, J., & Plöchl, M. (2024). Towards Friction Potential Estimation for Motorcycles. In G. Mastinu, F. Braghin, F. Cheli, M. Corno, & S. M. Savaresi (Eds.), 16th International Symposium on Advanced Vehicle Control : Proceedings of AVEC’24 – Society of Automotive Engineers of Japan (pp. 550–556). Springer. https://doi.org/10.1007/978-3-031-70392-8_78

CatalogPlus:

AC17390806

Verlags-DOI:

10.1007/978-3-031-70392-8_78

Publikationstyp:

Konferenzbeitrag - Full-Paper Contribution

Sprache:

Englisch

Autor_innen:

Klinger, Florian
Ott, Christoph
Poks, Agnes
Edelmann, Johannes
Plöchl, Manfred

Organisationseinheit:

E325-01 - Forschungsbereich Technische Dynamik und Fahrzeugdynamik

Erschienen in:

16th International Symposium on Advanced Vehicle Control : Proceedings of AVEC’24 – Society of Automotive Engineers of Japan

ISBN:

9783031703911

DOI des Buches:

10.1007/978-3-031-70392-8

Datum (veröffentlicht):

2024

Veranstaltungsname:

16th International Symposium on Advanced Vehicle Control - AVEC' 24

Veranstaltungszeitraum:

2-Sep-2024 - 6-Sep-2024

Veranstaltungsort:

Mailand, Italien

Umfang:

Verlag:

Springer, Cham

Peer Reviewed:

Keywords:

EKF; Extended Kalman Filter; Friction Potential Estimation; Motorcycle; Road Conditions; Tyre Characteristics; Wetness Sensor

Abstract:

Estimation of the actual friction potential from measured vehicle states has been extensively explored for passenger cars, but lacks attention for motorcycles. Several aspects towards friction potential estimation for motorcycles are discussed in this study: (i) analysis of the characteristics of motorcycle tyres on different surfaces and conditions by using an instrumented motorcycle, (ii) analysis of the theoretical performance of an EKF-based friction potential estimation approach by means of simulation studies, and (iii) analysis of the feasibility of using a wetness sensor on the motorcycle to gain information on actual road conditions.

Forschungsschwerpunkte:

Sustainable and Low Emission Mobility: 20%
Modeling and Simulation: 70%
Sensor Systems: 10%

Wissenschaftszweig:

2030 - Maschinenbau: 100%

Lizenz:

CC BY 4.0