Advertisement

Cost-Effective Wireless Sensing System for an Intelligent Pneumatic Tire

  • Giovanni Breglio
  • Andrea Irace
  • Lorenzo Pugliese
  • Michele Riccio
  • Michele Russo
  • Salvatore StranoEmail author
  • Mario Terzo
Conference paper
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 68)

Abstract

Intelligent tires constitute one of the approaches that allow to increase the effectiveness of the active safety systems of vehicles. Several areas of improvement concern these systems, all of them focused on the information about tire-road states. This study introduces the use of cost-effective flex sensor technology in intelligent tires in order to estimate the tread rotational speed and the vertical load. This technology has been combined with a wireless data transmission and a suitable prototype has been realized. First experimental tests have been conducted and the obtained results show the goodness of the proposed solution.

Keywords

Intelligent tire Flex sensor Vehicle dynamics Smart systems 

References

  1. 1.
    Lee, H., Taheri, S.: Intelligent tires-a review of tire characterization literature. IEEE Intell. Transp. Syst. Mag. 9(2), 114–135 (2017). Art. no. 7904765CrossRefGoogle Scholar
  2. 2.
    Niola, V., Quaremba, G., Pellino, G., Montanino, A.: A nonlinear spectrum for the diagnostics of a complex dynamical system. Int. J. Appl. Eng. Res. 11(18), 9569–9575 (2016)Google Scholar
  3. 3.
    Vincenzo, N., Giuseppe, Q., Aniello, F.: The detection of gear noise computed by integrating the Fourier and Wavelet methods. WSEAS Trans. Sig. Process. 4(3), 60–67 (2008)Google Scholar
  4. 4.
    Niola, V., Quaremba, G., Savino, S.: The objects location from images binarized by means of self-learning neural network. WSEAS Trans. Syst. 4(4), 417–423 (2005)Google Scholar
  5. 5.
    Tuononen, A.: Optical position detection to measure tyre carcass deflections. Veh. Syst. Dyn. 46, 471–481 (2008)CrossRefGoogle Scholar
  6. 6.
    Cullen, J., Arvanitis, N., Lucas, J., Al-Shamma’a, A.: In-field trials of a tyre pressure monitoring system based on segmented capacitance rings. Measurement 32, 181–192 (2002)CrossRefGoogle Scholar
  7. 7.
    Magori, V., Magori, V.R., Seitz, N.: On-line determination of. tire deformation, a novel sensor principle. In: Proceedings of the IEEE Ultrasonics Symposium, Sendai, Japan, 5–8 October 1998Google Scholar
  8. 8.
    Moona, K.S., Liangb, H., Yi, J., Mika, B.: Tire tread deformation sensor and energy harvester development for smart tire applications. In: Proceedings of the Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace System, San Diego, CA (2007)Google Scholar
  9. 9.
    Yi, J.: A piezo-sensor-based ‘smart tire’ system for mobile robots and vehicles. IEEE/ASME Trans. Mechatron. 13(1), 95–103 (2008)CrossRefGoogle Scholar
  10. 10.
    Todoroki, A., Miyatani, S., Shimamura, Y.: Wireless strain monitoring using electrical capacitance change of tire: part I—with oscillating circuit. Smart Mater. Struct. 12(3), 403–409 (2003). IEEE Intelligent Transportation Systems Magazine 134 (2017)CrossRefGoogle Scholar
  11. 11.
    Matsuzaki, R., Todoroki, A.: Passive wireless strain monitoring of actual tire using capacitance–resistance change and multiple spectral features. Sens. Actuators A 126(2), 277–286 (2006)CrossRefGoogle Scholar
  12. 12.
    Matsuzaki, R., Todoroki, A.: Wireless flexible capacitive sensor based on ultra-flexible epoxy resin for strain measurement of automobile tires. Sens. Actuators A 140(1), 32–42 (2007)CrossRefGoogle Scholar
  13. 13.
    Yilmazoglu, O., Brandt, M., Sigmund, J., Genc, E., Hartnagel, H.L.: Integrated InAs/GaSb 3D magnetic field sensors for ‘the intelligent tire’. Sens. Actuators A 94(1/2), 59–63 (2001)CrossRefGoogle Scholar
  14. 14.
    Garcia-Pozuelo, D., Olatunbosun, O., Yunta, J., Yang, X., Diaz, V.: A novel strain-based method to estimate tire conditions using fuzzy logic for intelligent tires. Sensors (Switzerland), 17(2) (2017). Art. no. 350CrossRefGoogle Scholar
  15. 15.
    Garcia-Pozuelo, D., Yunta, J., Olatunbosun, O., Yang, X., Diaz, V.: A strain-based method to estimate slip angle and tire working conditions for intelligent tires using fuzzy logic. Sensors (Switzerland) 17(4) (2017). Art. no. 874CrossRefGoogle Scholar
  16. 16.
    Yang, X., Olatunbosun, O., Garcia-Pozuelo Ramos, D., Bolarinwa, E.: FE-Based Tire Loading Estimation for Developing Strain-Based Intelligent Tire System. SAE, Detroit (2015)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Giovanni Breglio
    • 1
  • Andrea Irace
    • 1
  • Lorenzo Pugliese
    • 2
  • Michele Riccio
    • 1
  • Michele Russo
    • 1
  • Salvatore Strano
    • 2
    Email author
  • Mario Terzo
    • 2
  1. 1.Department of Electrical Engineering and Information TechnologiesUniversity of Naples Federico IINaplesItaly
  2. 2.Department of Industrial EngineeringUniversity of Naples Federico IINaplesItaly

Personalised recommendations