ATZ - Automobiltechnische Zeitschrift

, Volume 115, Issue 11, pp 916–921 | Cite as

Einfluss realer Betriebsbedingungen auf den Radwiderstand

  • Ulrico Peckelsen
  • Frank Gauterin
Forschung Reifen Und Räder
  • 223 Downloads

Literaturhinweise

  1. [1]
    N. N.: On the Labelling of Tyres with Respect to Fuel Efficiency and Other Essential Parameters. European Union, Regulation (EC) Nr. 1222/2009 S. L342/46–L342/58, 2009Google Scholar
  2. [2]
    LaClair, T.: Rolling Resistance in the Pneumatic Tire. U.?S. Department of Transportation, National Highway Traffic Safety Administration (NHTSA), 2006, S. 476–532Google Scholar
  3. [3]
    DeRaad, L.: The Influence of Road Surface Texture on Tire Rolling Resistance. In: Tire Rolling Losses and Fuel Economy, Society of Automotive Engineers (1977), S. 143–149Google Scholar
  4. [4]
    Clark, S.: Geometric Effects on the Rolling Resistance of Pneumatic Tires. In: Tire Rolling Losses and Fuel Economy, Society of Automotive Engineers (1977), S. 111–119Google Scholar
  5. [5]
    Wormeley, P.; Holt, W.: Power Losses in Automobile Tires. In: Technologic Papers of the Bureau of Standards (1922), S. 451–461Google Scholar
  6. [6]
    Braess, H.; Stricker, R.: Eigenlenkverhalten, Kurvenwiderstand, Kraftstoffverbrauch — Ein weiterer Aspekt des Fahrzeugkonzeptes und der Fahrwerkabstimmung. In: VDI-Berichte, Nr. 418 (1981), S. 275–278Google Scholar
  7. [7]
    Peckelsen, U.; et. al.: Rolling Resistance: a Comprehensive Study under Real Vehicle-Driving Conditions. ATZlive Chassis Tech, München, 2013Google Scholar
  8. [8]
    Unrau, H.-J.; Zamow, J.: Tydex-Format: Description and Reference Manual (Release 1.3). 2nd International Colloqium on Tyre Models for Vehicle Dynamics Analysis, 1997Google Scholar
  9. [9]
    N. N.: Passenger Car, Truck and Bus Tyres — Methods of Measuring Rolling Resistance — Single Point Test and Correlation of Measurement Results. ISO 28580, 2009Google Scholar
  10. [10]
    Peckelsen, U.: Analysis and Optimisation of Tires for Passenger Cars. Politecnico di Milano, 2012Google Scholar
  11. [11]
    Niederreiter, H.: Low Discrepancy and Low Dispersion Sequences. Number Theory, Bd. 30, Nr. 1, S. 51–70, 1988MathSciNetCrossRefMATHGoogle Scholar
  12. [12]
    Halton, J.: On the Efficiency of Certain Quasirandom Sequences of Points in Evaluating Multidimensional Integrals. Numerische Mathematik, Bd. 2, Nr. 1, S. 84–90, 1960MathSciNetCrossRefMATHGoogle Scholar
  13. [13]
    Sobol, I.: On the Distribution of Points in a Cube and the Approximate Evaluation of Integrals. U.S.S.R. Computational Mathematics and Mathematical Physics, Bd. 7, Nr. 4, S. 86–112, 1967MathSciNetCrossRefMATHGoogle Scholar
  14. [14]
    McKay, M.; et al.: A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code. Technometrics, Bd. 21, Nr. 2, S. 239–245, 1979MathSciNetMATHGoogle Scholar

Copyright information

© Springer Fachmedien Wiesbaden 2013

Authors and Affiliations

  • Ulrico Peckelsen
    • 1
  • Frank Gauterin
    • 2
  1. 1.BMW in MünchenMünchenDeutschland
  2. 2.Karlsruher Institut für TechnologieKarlsruheDeutschland

Personalised recommendations