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.
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References
van Zanten AT, Pfaff G (1996) Control aspects of Bosch-VDC. In: Proceedings of AVEC international symposium on advanced vehicle control, Aachen
van Zanten AT (2000) Bosch ESP systems: 5 years of experience. SAE technical paper 2000-01-1633
Kiencke U, Daib A (1997) Observation of lateral vehicle dynamic. Control Eng Pract 5(8):1145–1150
Venhovens PJ Th, Naab K (1999) Vehicle dynamics estimation using Kalman filters. Veh Syst Dyn 32(2–3):171–184
Muller S, Uchanski M, Hedrick K (2004) Estimation of the maximum tire-road friction coefficient. J Dyn Syst Meas Control 125(4):607–617
Yi K, Hedrick K, Lee SC (1999) Estimation of tire-road friction using observer based identifiers. Veh Syst Dyn 31(4):233–261
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
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
Aleksander H, Simpson MD (2000) Estimation of vehicle sideslip angle and yaw rate. Tech. rep. SAE technical paper 2000-01-0696
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
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
Sasaki H, Nishimaki T (2000) A sideslip angle estimation using neural network for a wheeled vehicle. Tech. rep. SAE technical paper 2000-01-0695
Abdulrahim M (2006) On the dynamics of automobile drifting. Tech. rep. SAE technical paper 2006-01-1019
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
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
Tuononen AJ (2008) Optical position detection to measure tyre carcass deflections. Veh Syst Dyn 46(6):471–481
Pohl A et al (1999) The “intelligent tire” utilizing passive saw sensors – measurement of tyre friction. IEEE Trans Instrum Meas 48(6):1041–1046
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
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
Yi J (2008) A piezo-sensor-based ‘smart tire’ system for mobile robots and vehicle. IEEE/ASME Trans Mechatron 13(1):95–103
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
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
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
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
Pacejka HB (2006) Tyre and vehicle dynamics, 2nd edn. Butterworth-Heinemann, Oxford (cit. on p. 4)
Braghin F, Cheli F, Sabbioni E (2006) Environmental effects on Pacejka’s scaling factors. Veh Syst Dyn 44(7):547–568
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
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Authors greatly acknowledge Pirelli Tyres for the support in this research.
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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
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DOI: https://doi.org/10.1007/978-3-319-15212-7_9
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