Single Wheel Braking - A New Method to Measure Friction Potential on Public Roads

Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)


Knowledge about the friction potential could improve several advanced driver-assistance systems. The true friction potential, needed to validate every friction potential estimation method, is normally measured by full braking tests. These are limited to proving grounds and cannot measure the friction potential on public roads due to their potential impact on surrounding traffic. In order to measure the friction potential under real conditions, a new method, which only brakes one wheel for a short time, is developed. By the means of force measurement wheels all forces acting on the wheel are measured. The vehicle reaction is analyzed and it is shown, that the method can be used without endangering other traffic participants. Measurements of the new method are validated by comparing measurement results to full braking tests and first results of measurements on public roads are presented.


ADAS Tires Friction Full braking tests 


  1. 1.
    Acosta, M., Kanarachos, S., Blundell, M.: Road friction virtual sensing: a review of estimation techniques with emphasis on low excitation approaches. Appl. Sci. 7(12), 1230 (2017)CrossRefGoogle Scholar
  2. 2.
    Bruzelius, F., et al.: Evaluation of tyre to road friction estimators, test methods and metrics. Int. J. Veh. Syst. Model. Test. 5(2–3), 213–236 (2010)Google Scholar
  3. 3.
    Kakalis, L., et al.: Brake based torque vectoring for sport vehicle performance improvement. SAE Int. J. Passeng. Cars-Mech. Syst. 1, 514–525 (2008)CrossRefGoogle Scholar
  4. 4.
    Khaleghian, S., Emami, A., Taheri, S.: A technical survey on tire-road friction estimation. Friction 5(2), 123–146 (2017) CrossRefGoogle Scholar
  5. 5.
    Müller, G., et al.: Unfallvermeidung durch Reibwertprognosen. FAT - Schriftenreihe 299 (2017)Google Scholar
  6. 6.
    Odhams, A.M.C., Cole, D.J.: Identification of a driver’s preview steering control behaviour using data from a driving simulator and a randomly curved road path. In: Proceedings of 10th International Symposium on AVEC, pp. 605–609 (2010)Google Scholar
  7. 7.
    Rill, G.: First order tire dynamics. In: Mota Soares, C.A., et al. (eds.) 3rd European Conference on Computational Mechanics Solids, Structures and Coupled Problems in Engineering, Lisbon, Portugal, pp. 5–8 (2006)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Daimler AGBöblingenGermany
  2. 2.Department of Automotive EngineeringTechnische Universität BerlinBerlinGermany

Personalised recommendations