Abstract
The vehicle dynamic behaviour analysis is a crucial step for the evaluation of performance in terms of stability and safety. Tires play an important role by generating the interaction forces at each road-tire contact patch. The longitudinal and lateral dynamics are analysed by using instrumented vehicles with expensive high precision sensors to get a measurement of estimates of physical parameters of interest. This paper deals with the evaluation of vehicle under/oversteering behaviour and of braking performance using a Real-time (RT) simulator. The simulations were performed by using an efficient 15 Degrees of Freedoms (DOFs) Lumped-Parameter Full Vehicle Model (LPFVM), comprising a tire model with temperature-dependent properties. A virtual Driver-in-the-Loop (vDiL) scheme was used to perform test manouvers. The virtual driver is based on two PID regulators for speed and steering control. Finally, this paper reports the results of constant radius tests as defined by standard ISO4138 and of a braking manoeuvre. In both tests, a type-A road profile as defined by ISO 8608 standard was simulated.
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References
Ragesh, N.K., Rajesh, R.: Pedestrian detection in automotive safety: understanding state-of-the-art. IEEE Access 7, 47864–47890 (2019)
Bengler, K., Dietmayer, K., Farber, B., et al.: Three decades of driver assistance systems: review and future perspectives. IEEE Intell. Transp. Syst. Mag. 6(4), 6–22 (2014)
Stark, L., Düring, M., Schoenawa, S., et al.: Quantifying Vision Zero: crash avoidance in rural and motorway accident scenarios by combination of ACC, AEB, and LKS projected to German accident occurrence. Traffic Inj. Prev. 20(sup1), 126–132 (2019)
Kukkala, V.K., Tunnell, J., Pasricha, S., Bradley, T.: Advanced driver-assistance systems: a path toward autonomous vehicles. IEEE Consum. Electron. Mag. 7(5), 18–25 (2018)
Edunyah, I.: Causes of tyre failure on road traffic accident; a case study of Takoradi Township. Int. J. Sci. Res. Publ. 6(2), 30–35 (2016)
Osueke, C.O., Uguru-Okorie, D.C.: The role of tire in car crash, its causes, and prevention. Int. J. Emerg. Technol. Adv. Eng. 2(02), 54–57 (2012)
Candreva, S., Mundo, D., Gubitosa, M., Toso, A.: On the correlation between a 3D high-fidelity multi-body vehicle model and a 1D 15-DOFs vehicle concept model. In: Proceedings of ISMA 2014, pp. 1615–1627 (2014)
Sharifzadeh, M., Timpone, F., Senatore, A., et al.: Real time tyre forces estimation for advanced vehicle control. Int. J. Mech. Control 18(2), 77–84 (2017)
Jahnke, M.D., Cosco, F., Novickis, R., et al.: Efficient neural network implementations on parallel embedded platforms applied to real-time torque-vectoring optimization using predictions for multi-motor electric vehicles. Electron 8(2), 1–27 (2019)
Cosco, F., Naets, F., Desmet, W.: Use of concept modelling for online input force estimation. In: Proceedings of ISMA 2014, pp. 1639–1651 (2014)
Carpinelli, M., Gubitosa, M., Mundo, D., Desmet, W.: Automated independent coordinates’ switching for the solution of stiff DAEs with the linearly implicit Euler method. Multibody Syst. Dyn. 36, 67–85 (2016)
Mundo, D., Gencarelli, R., Dramisino, L., Garre, C.: Development, validation and RT performance assessment of a platform for driver-in-the-loop simulation of vehicle dynamics. In: Mechanisms and Machine Science, pp. 130–138 (2018)
Perrelli, M., Francesco, C., Giuseppe, C., Mundo, D.: Evaluation of vehicle lateral dynamic behaviour according to ISO-4138 tests by implementing a 15-DOF vehicle model and an autonomous virtual driver. Int. J. Mech. Control 20(2), 31–38 (2019)
Loprencipe, G., Zoccali, P.: Use of generated artificial road profiles in road roughness evaluation. J. Mod. Transp. 25, 24–33 (2017)
Pacejka, H.B.: Tire and Vehicle Dynamics. Butterworth-Heinemann, Oxford (2006)
Farroni, F., Lamberti, R., Mancinelli, N., Timpone, F.: TRIP-ID: a tool for a smart and interactive identification of Magic Formula tyre model parameters from experimental data acquired on track or test rig. Mech. Syst. Signal Process. 102, 1–22 (2018)
Farroni, F., Russo, M., Sakhnevych, A., Timpone, F.: TRT EVO: advances in real-time thermodynamic tire modeling for vehicle dynamics simulations. Proc. Inst. Mech. Eng. Part D J. Autom. Eng. 233(1), 121–135 (2019)
Farroni, F., Sakhnevych, A., Timpone, F.: A three-dimensional multibody tire model for research comfort and handling analysis as a structural framework for a multi-physical integrated system. Proc. Inst. Mech. Eng. Part D J. Autom. Eng. 233(1), 136–146 (2019)
Acknowledgement
This work was supported by the project “FASTire (Foam Airless Spoked Tire): Smart Airless Tyres for Extremely-Low Rolling Resistance and Superior Passengers Comfort” funded by the Italian MIUR “Progetti di Ricerca di Rilevante Interesse Nazionale (PRIN) call 2017 - grant 2017948FEN.
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Perrelli, M., Farroni, F., Timpone, F., Mundo, D. (2020). Analysis of Tire Temperature Influence on Vehicle Dynamic Behaviour Using a 15 DOF Lumped-Parameter Full-Car Model. In: Zeghloul, S., Laribi, M., Sandoval Arevalo, J. (eds) Advances in Service and Industrial Robotics. RAAD 2020. Mechanisms and Machine Science, vol 84. Springer, Cham. https://doi.org/10.1007/978-3-030-48989-2_29
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DOI: https://doi.org/10.1007/978-3-030-48989-2_29
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