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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lee, H., Taheri, S.: Intelligent tires-a review of tire characterization literature. IEEE Intell. Transp. Syst. Mag. 9(2), 114–135 (2017). Art. no. 7904765
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)
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)
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)
Tuononen, A.: Optical position detection to measure tyre carcass deflections. Veh. Syst. Dyn. 46, 471–481 (2008)
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)
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 1998
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)
Yi, J.: A piezo-sensor-based ‘smart tire’ system for mobile robots and vehicles. IEEE/ASME Trans. Mechatron. 13(1), 95–103 (2008)
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)
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)
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)
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)
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. 350
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. 874
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Breglio, G. et al. (2019). Cost-Effective Wireless Sensing System for an Intelligent Pneumatic Tire. In: Carbone, G., Gasparetto, A. (eds) Advances in Italian Mechanism Science. IFToMM ITALY 2018. Mechanisms and Machine Science, vol 68. Springer, Cham. https://doi.org/10.1007/978-3-030-03320-0_17
Download citation
DOI: https://doi.org/10.1007/978-3-030-03320-0_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03319-4
Online ISBN: 978-3-030-03320-0
eBook Packages: EngineeringEngineering (R0)