OJAppS  Vol.3 No.2 B , June 2013
Estimation of Longitudinal Tire Force Using Nonlinearity Observer
Abstract: Tire forces are the major forces propelling the road vehicles. They significantly affect the dynamic behavior of the vehicles. Estimation of the tire forces is essential in vehicle dynamics and control. This paper presents an observer-based scheme for estimation of the longitudinal tire force of electric vehicles in real time.  The observer is based on a nonlinearity observer method. The pole-placement technique is used for determination of the observer gains. Simulation results demonstrate that the observer is able to estimate the tire force successfully. The experiments are implemented on a single-wheel electric vehicle test rig. The test rig comprises an electric motor driven wheel and a free-rolling drum simulating vehicle-on-road situations. Experimental results confirm the effectiveness of the present scheme.
Cite this paper: S. Kuntanapreeda, "Estimation of Longitudinal Tire Force Using Nonlinearity Observer," Open Journal of Applied Sciences, Vol. 3 No. 2, 2013, pp. 41-46. doi: 10.4236/ojapps.2013.32B008.

[1]   C. C. Chan, “The State of the Art of Electric, Hybrid, and Fule Cel Vehicles,” Proceedings of the IEEE, Vol. 95, No. 4, 2007, pp. 704-718. doi:10.1109/JPROC.2007.892489

[2]   K. T. Chau, C. C. Chan and C. Liu, “Overview of Permanent-Magnet Brushless Drives for Electric and Hybrid Electric Vehicles,” IEEE Transactions on Industrial Electronics, Vol. 55, No. 6, 2008, pp. 2246-2257. doi:10.1109/TIE.2008.918403

[3]   M. J. Hoeijmakers and J. A. Ferreira, “The Electric Variable Transmission,” IEEE Transactions on Industry Applications, Vol. 42, No. 4, 2006, pp. 1092-1093. doi:10.1109/TIA.2006.877736

[4]   Y. Hori, “Future Vehicle Driven by Electricity and Control-Research on Four-Wheel-Motored ‘UOT Electric March II’,” IEEE Transactions on Industrial Electronics, Vol. 51, No. 5, 2004, pp. 954-962. doi:10.1109/TIE.2004.834944

[5]   F. Gustafsson, “Slip-Based Tire-Road Friction Estimation,” Automatica, Vol. 33, No. 6, 1997, pp. 1087-1099. doi:10.1016/S0005-1098(97)00003-4

[6]   E. Ono, K. Asano, M. Sugai, S. Ito, M. Yamamoto, M. Sawada and Y. Yasui, “Estimation of Automotive Tire Force Chraracteristics Using Wheel Velocity,” Control Engineering Practice, Vol. 11, 2003, pp. 1361-1370. doi:10.1016/S0967-0661(03)00073-X

[7]   S. Müller, M. Uchanski and K. Hedrick, “Estimation of the Maximum Tire-Road Friction Coefficient,” ASME J. Dynamic Systems, Measurement, and Control, Vol. 125, 2003, pp. 607-617. doi:10.1115/1.1636773

[8]   R. Rajamani, D. Piyabongkarn, J. Y. Lew, K. Yi and G. Phanomchoeng, “Tire-Road Friction-Coefficient Estimation,” IEEE Control Systems Magazine, Vol. 30, No. 4, 2010, pp. 54-69. doi:10.1109/MCS.2010.937006

[9]   R. Rajamani, G. Phanomchoeng, D. Piyabongkarn and J. Y. Lew, “Algorithms for Real-Time Estimation of Individual Wheel Tire-Road Friction Coefficients,” IEEE/ASME Trans. Mechatronics, Vol. 17, No. 6, 2012, pp.1183-1195.

[10]   P. C. Müller, “Estimation and Compensation of Nonlinearities,” Proceedings of the 1st Asian Control Conference, Tokyo, 1994, Vol. II, pp. 641-644.

[11]   D. Soffker, T. J. Yu and P. C. Müller, “State Estimation of Dynamical Systems with Nonlinearities by Using ProPortional-Integral Observer,” International Journal of Systems Science, Vol. 26, 1995, pp. 1571-1582. doi:10.1109/MCS.2010.937006

[12]   A. Kraithaisri, S. Kuntanapreeda and S. Koetniyom, “Development of A Single-Wheel Test Rig for Traction Dynamics and Control of Electric Vehicles,” Proceedings of the 2012 Hong Kong International Conference on Engineering and Applied Science, 2012, pp. 360-367.