Abstract
Active safety systems play a fundamental role in improving stability and safety performance of modern passenger cars. Within this context, Torque vectoring (TV) represents one of the most promising technologies for the improvement of vehicle dynamics performance. This paper proposes a TV-based Direct Yaw Moment Control (DYC) strategy aimed at designing the vehicle understeering behaviour through a software simulation environment based on an efficient Lumped-Parameter Full Vehicle Model (LPFVM). Simulation results show that the vehicle is able to successfully follow a predetermined understeer characteristic.
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References
Linder, A., Dukic, T., Hjort, M., et al.: Methods for the evaluation of traffic safety effects of Antilock Braking System (ABS) and Electronic Stability Control (ESC) (2007)
Esmailzadeh, E., Goodarzi, A., Vossoughi, G.R.: Optimal yaw moment control law for improved vehicle handling. Mechatronics 13, 659–675 (2003)
Lenzo, B., Zanchetta, M., Sorniotti, A., et al.: Yaw rate and sideslip angle control through single input single output direct yaw moment control. IEEE Trans. Control Syst. Technol. (2020)
De Novellis, L., Sorniotti, A., Gruber, P.: Driving modes for designing the cornering response of fully electric vehicles with multiple motors. Mech. Syst. Sig. Process. 64–65, 1–15 (2015)
Lenzo, B., Bucchi, F., Sorniotti, A., Frendo, F.: On the handling performance of a vehicle with different front-to-rear wheel torque distributions. Veh. Syst. Dyn. 57(11), 1685–704 (2019)
Ghosh, J., Tonoli, A., Amati, N.: A torque vectoring strategy for improving the performance of a rear wheel drive electric vehicle. In: Proceedings of the 2015 IEEE Vehicle Power and Propulsion Conference, VPPC 2015 (2015)
De Pascale, V., Lenzo, B., Farroni, F., Timpone, F., Zhang, X.: Torque vectoring control for fully electric SAE cars. In: Carcaterra, A., Paolone, A., Graziani, G. (eds.) AIMETA 2019. LNME, pp. 1075–1083. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-41057-5_87
Koehler, S., Viehl, A., Bringmann, O., Rosenstiel, W.: Improved energy efficiency and vehicle dynamics for battery electric vehicles through torque vectoring control. In: IEEE Intelligent Vehicles Symposium, Proceedings (2015)
Lenzo, B., De Filippis, G., Sorniotti, A., et al.: Understeer characteristics for energy-efficient fully electric vehicles with multiple motors. In: 29th International Electric Vehicle Symposium, EVS 2016 (2016)
De Filippis, G., Lenzo, B., Sorniotti, A., et al.: On the energy efficiency of electric vehicles with multiple motors. In: 2016 IEEE Vehicle Power and Propulsion Conference, VPPC 2016, Proceedings (2016)
Gradu, M.: Differential with torque vectoring capabilities, pp. 1–11 (2005)
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: Carbone, G., Gasparetto, A. (eds.) IFToMM ITALY 2018. MMS, vol. 68, pp. 130–138. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-03320-0_14
Perrelli, M., Cosco, F., Carbone, G., Mundo, D.: Evaluation of vehicle lateral dynamic behaviour according to iso-4138 tests by implementing a 15-d of vehicle model and an autonomous virtual driver. Int. J. Mech. Control 20(2), 31–38 (2019)
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)
Molina, A., Rajamani, K., Azadet, K.: Concurrent dual-band digital predistortion using 2-D lookup tables with bilinear interpolation and extrapolation: direct least squares coefficient adaptation. IEEE Trans. Microw. Theory Tech. 65(4), 1381–1393 (2017)
Acknowledgement
This work was supported by the project “FASTire (Foam Airless Spoked Tire): Smart Airless Tyres for Extremely-Low Rolling Resistance and Superior Passengers Com-fort” funded by the Italian MIUR “Progetti di Ricerca di Rilevante Interesse Nazionale (PRIN) call 2017 - grant 2017948FEN”.
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Perrelli, M., Carbone, G., Lenzo, B., Mundo, D. (2021). Design of Understeer Characteristics Through Torque Vectoring on a Lumped-Parameter Full Vehicle Model. In: Niola, V., Gasparetto, A. (eds) Advances in Italian Mechanism Science. IFToMM ITALY 2020. Mechanisms and Machine Science, vol 91. Springer, Cham. https://doi.org/10.1007/978-3-030-55807-9_85
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DOI: https://doi.org/10.1007/978-3-030-55807-9_85
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