Skip to main content

Smart Tyre Induced Benefits in Sideslip Angle and Friction Coefficient Estimation

  • Conference paper
Sensors and Instrumentation, Volume 5

Abstract

Smart tyres are an emerging technology able to turn tyres into sensors able to provide information about tyre-road contact. It is straightforward to understand how this technology can promote the development of new active control strategies and/or improve the present ones through the enhancement of estimation of unknown quantities, such as tyre-road friction coefficient and vehicle sideslip angle which are crucial for stability and safety control systems (ABS, ESP, etc.). Specifically the present paper investigates how smart tyres can improve sideslip angle and friction coefficient estimation and evaluates robustness of estimation to road bank angle. The considered smart tyre is based on three tri-axial accelerometers glued on the inner liner. The adopted sensor presents the advantages of tiny dimensions, low weight, minimal impact on the production process, wide bandwidth, high reliability and the robustness required to withstand the impulses occurring when the sensors enter and exit the footprint. Available measurements, which are provided once per wheel turn by the smart tyre, are the longitudinal, lateral and vertical contact forces.

To evaluate the effect of these additional measurements on sideslip angle and friction coefficient estimation, an Extended Kalman Filter based on a single-track vehicle model was implemented.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. van Zanten AT, Pfaff G (1996) Control aspects of Bosch-VDC. In: Proceedings of AVEC international symposium on advanced vehicle control, Aachen

    Google Scholar 

  2. van Zanten AT (2000) Bosch ESP systems: 5 years of experience. SAE technical paper 2000-01-1633

    Google Scholar 

  3. Kiencke U, Daib A (1997) Observation of lateral vehicle dynamic. Control Eng Pract 5(8):1145–1150

    Article  Google Scholar 

  4. Venhovens PJ Th, Naab K (1999) Vehicle dynamics estimation using Kalman filters. Veh Syst Dyn 32(2–3):171–184

    Google Scholar 

  5. Muller S, Uchanski M, Hedrick K (2004) Estimation of the maximum tire-road friction coefficient. J Dyn Syst Meas Control 125(4):607–617

    Article  Google Scholar 

  6. Yi K, Hedrick K, Lee SC (1999) Estimation of tire-road friction using observer based identifiers. Veh Syst Dyn 31(4):233–261

    Article  Google Scholar 

  7. Gaoa X, Yua Z, Neubeckb J, Wiedemannb J (2010) Sideslip angle estimation based on input-output linearization with tire-road friction adaptation. Veh Syst Dyn 48(2):217–234

    Article  Google Scholar 

  8. Cheng Q, Correa-Victorino A, Charara A (2008) A new nonlinear observer using unscented Kalman filter to estimate sideslip angle, lateral tire road forces and tire road friction coefficient. In: IEEE intelligent vehicles symposium, Baden, 5–9 June, pp 709–714

    Google Scholar 

  9. Aleksander H, Simpson MD (2000) Estimation of vehicle sideslip angle and yaw rate. Tech. rep. SAE technical paper 2000-01-0696

    Google Scholar 

  10. Cheli F, Melzi S, Pesce M, Sabbioni E (2007) A methodology for vehicle sideslip angle identification: comparison with experimental data. Veh Syst Dyn 45(6):549–563

    Article  Google Scholar 

  11. Melzi S, Sabbioni E (2011) On the vehicle sideslip angle estimation through neural networks: numerical and experimental results. Mech Syst Signal Process 25(6):2005–2019

    Article  Google Scholar 

  12. Sasaki H, Nishimaki T (2000) A sideslip angle estimation using neural network for a wheeled vehicle. Tech. rep. SAE technical paper 2000-01-0695

    Google Scholar 

  13. Abdulrahim M (2006) On the dynamics of automobile drifting. Tech. rep. SAE technical paper 2006-01-1019

    Google Scholar 

  14. Ryu J, Gerdes JC (2004) Integrating inertial sensors with global positioning system (GPS) for vehicle dynamics control. J Dyn Syst Meas Control 126(2):243–254

    Article  Google Scholar 

  15. Mancosu F, Brusarosco M, Cheli F, Melzi S (2008) Method for determining at least one parameter representative of at least one interaction along a longitudinal direction between a tyre for vehicle and the ground. Patent no. PCT WO 2008/65465

    Google Scholar 

  16. Tuononen AJ (2008) Optical position detection to measure tyre carcass deflections. Veh Syst Dyn 46(6):471–481

    Article  Google Scholar 

  17. Pohl A et al (1999) The “intelligent tire” utilizing passive saw sensors – measurement of tyre friction. IEEE Trans Instrum Meas 48(6):1041–1046

    Article  Google Scholar 

  18. Yilmazoglu O, Brandt M, Sigmund J, Genc E, Hartnagel HL (2001) Integrated InAs/GaSb 3D magnetic field sensors for “the intelligent tire”. Sensors Actuators A Phys 94(1–2):59–63

    Article  Google Scholar 

  19. Sergio M, Manaresi N, Tartagni M, Canegallo R, Guerrieri R (2006) On a road tyre deformation measurement system using a capacitive-resistive sensor. Smart Mater Struct 15(6):1700–1706

    Article  Google Scholar 

  20. Yi J (2008) A piezo-sensor-based ‘smart tire’ system for mobile robots and vehicle. IEEE/ASME Trans Mechatron 13(1):95–103

    Article  Google Scholar 

  21. Matsuzaki R, Todoroki A (2007) Wireless flexible capacitive sensor based on ultra-flexible epoxy resin for strain measurement of automobile tires. Sensors Actuators A Phys 140(1):32–42

    Article  Google Scholar 

  22. Cheli F, Leo E, Melzi S, Sabbioni E (2010) On the impact of “Smart Tyres” on existing ABS/EBD control systems. Veh Syst Dyn 48(1):255–270

    Article  Google Scholar 

  23. Cheli F, Braghin F, Brusarosco M, Mancosu F, Sabbioni E (2011) Design and testing of an innovative measurement device for tyre-road contact forces. Mech Syst Signal Process 25(6):1956–1972

    Article  Google Scholar 

  24. Cheli F, Sabbioni E, Sbrosi M, Brusarosco M, Melzi S, D’Alessandro V (2011) Enhancement of ABS performances through on-board estimation of the tyres response by means of smart tires. Tech. rep. SAE technical paper 2011-01-0991

    Google Scholar 

  25. Pacejka HB (2006) Tyre and vehicle dynamics, 2nd edn. Butterworth-Heinemann, Oxford (cit. on p. 4)

    Google Scholar 

  26. Braghin F, Cheli F, Sabbioni E (2006) Environmental effects on Pacejka’s scaling factors. Veh Syst Dyn 44(7):547–568

    Article  Google Scholar 

  27. Braghin F, Cheli F, Sabbioni E, Arosio D (2010) Identification of Pacejka’s scaling factors from full-scale experimental tests. Veh Syst Dyn 43(1):457–474

    Google Scholar 

Download references

Acknowledgments

Authors greatly acknowledge Pirelli Tyres for the support in this research.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to E. Sabbioni .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 The Society for Experimental Mechanics, Inc.

About this paper

Cite this paper

Cheli, F., Ivone, D., Sabbioni, E. (2015). Smart Tyre Induced Benefits in Sideslip Angle and Friction Coefficient Estimation. In: Wee Sit, E. (eds) Sensors and Instrumentation, Volume 5. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-15212-7_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-15212-7_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15211-0

  • Online ISBN: 978-3-319-15212-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics