Open Access
MATEC Web of Conferences
Volume 166, 2018
The 2nd International Conference on Mechanical, Aeronautical and Automotive Engineering (ICMAA 2018)
Article Number 02006
Number of page(s) 10
Section Vehicle Design and System Control Engineering
Published online 23 April 2018
  1. W. Cho, J. Yoon, S. Yim, B. Koo, K. Yi, “Estimation of Tire Forces for Application to Vehicle Stability Control”, IEEE Trans. Veh. Technol., 59, 2, (2010). [CrossRef] [Google Scholar]
  2. M. Doumiati, A. Victorino, D. Lechner, G. Baffet, A. Charara, “Observers for vehicle tyre/road forces estimation: experimental validation”, Veh. Syst. Dyn., 48, 11, (2010). [CrossRef] [Google Scholar]
  3. M. Doumiati, A. Victorino, A. Charara, D. Lechner, “Lateral load transfer and normal forces estimation for vehicle safety: experimental test”, Veh. Syst. Dyn., 47, 12, (2009). [CrossRef] [Google Scholar]
  4. A. Rabhi, N.K. M’Sirdi, A. Elhajjaji, “Estimation of Contact Forces and Tire Road Friction”, Proc. Mediterranean Conf. Control Autom., 1-6, (2007). [Google Scholar]
  5. S. Antonov, A. Fehn, A. Kugi, “Unscented Kalman filter for vehicle state estimation”, Veh. Syst. Dyn., 49, 9, (2011). [CrossRef] [Google Scholar]
  6. J. Kim, H. Lee, S. Choi, “A robust road bank angle estimation based on a proportional-integral H∞ filter”, Proc. Inst. Mech. Eng. D. J. Autom. Eng., 226, 6, (2012). [Google Scholar]
  7. R. Ghandour, A. Victorino, M. Doumiati, A. Charara, “Tire/road friction coefficient estimation applied to road safety”, Proc. 18th Mediterranean Conf. Control Autom., 1485-1490, (2010). [Google Scholar]
  8. H.B. Pacejka, I. Besselink, Tire and Vehicle Dynamics, (Elsevier, Butterworth-Heineman 2012). [Google Scholar]
  9. R. Rajamani, D. Piyabongkarn, J.Y. Lew, J.A. Grogg, “Algorithms for Real-Time Estimation of Individual Wheel Tire-Road Friction Coefficients”, Proc. Amer. Control Conf., 4682-4687, (2006). [Google Scholar]
  10. B. Jaballah, N.K. M’Sirdink, A. Naamane, H. Messaoud, “Estimation of vehicle longitudinal tire force with FOSMO & SOSMO”, IJ-STA, 5, 1, (2011). [Google Scholar]
  11. H. Imine, N.K. M’Sirdi, Y. Delanne, “Adaptive Observers and Estimation of the Road Profile”, Soc. Automotive Eng. World Cong., (2003). [Google Scholar]
  12. L.R. Ray, “Nonlinear State and Tire Force Estimation for Advanced Vehicle Control”, IEEE Trans. Control Syst. Technol., 3, 1, (1995). [Google Scholar]
  13. K. Huh, C. Seo, J. Kim, D. Hong, “Active Steering Control Based on The Estimated Tire Forces”, Proc. Amer. Control Conf., 729-733, (1999). [Google Scholar]
  14. A. Rezaeian, R. Zarringhalam, S. Fallah, W. Melek, A. Khajepour, S.K. Chen, N. Moshchuck, B. Litkouhi, “Novel Tire Force Estimation Strategy for Real-Time Implementation on Vehicle Applications”, IEEE Trans. Veh. Technol., 64, 6, (2015). [CrossRef] [Google Scholar]
  15. M. Doumiati, A. Victorino, A. Charara, D. Lechner, “Virtual sensors, application to vehicle tire-road normal forces for road safety”, Proc. Amer. Control Conf., 3337-3343, (2009). [Google Scholar]
  16. H.S. Bae, J. Ryu, J.C. Gerdes, “Road Grade and Vehicle Parameter Estimation for Longitudinal Control Using GPS”, IEEE Proc. Intel. Transp. Syst. Conf., (2001). [Google Scholar]
  17. J. Grieser, “Method for Determining an Estimate of the Mass of a Motor Vehicle”, U.S. Patent, 6,980,900, (2005). [Google Scholar]
  18. A. Vahidi, A. Stefanopoulou, H. Peng, “Experiments for Online Estimation of Heavy Vehicle’s Mass and Time-Varying Road Grade”, Proc. ASME IMECE, 451-458, (2003). [Google Scholar]
  19. A. Vahidi, M. Druzhinina, A. Stefanopoulou, H. Peng, “Simultaneous Mass and Time-Varying Grade Estimation for Heavy-Duty Vehicles”, Proc. Amer. Control Conf., 4951-4956, (2003). [Google Scholar]
  20. V. Winstead, I.V. Kolmanovsky, “Estimation of Road Grade and Vehicle Mass via Model Predictive Control”, Proc. IEEE Conf. Control App., 1588-1593, (2005). [Google Scholar]
  21. M.A. Wilkin, W.J. Manning, D.A. Crolla, M.C. Levesley, “Use of an extended Kalman filter as a robust tyre force estimator”, Veh. Syst. Dyn., 44, 50-59, (2006). [CrossRef] [Google Scholar]
  22. J. Stephant, A. Charara, D. Meizel, “Virtual Sensor: Application to Vehicle Sideslip Angle and Transversal Forces”, IEEE Trans. Ind. Electron., 51, 2, (2004). [CrossRef] [Google Scholar]
  23. A. Rehm, “Estimation of Vehicle Roll Angle”, Proc. 4th ISCCSP, 1-5, (2010). [Google Scholar]
  24. H.K. Fathy, D. Kang, J.L. Stein, “Online Vehicle Mass Estimation Using Recursive Least Squares and Supervisory Data Extraction”, Proc. Amer. Control Conf., 1842-1848, (2008). [Google Scholar]
  25. Y. Zhang, H. Zhao, L. Yuan, H. Chen, “Slip Ratio Estimation for Electric Vehicle with In-wheel Motors based on EKF without Detection of Vehicle Velocity”, Proc. 28th CCDC, 4427-4432, (2016). [Google Scholar]
  26. S. Julier, J. Uhlmann, H.F. Durrant-Whyte, “A New Method for the Nonlinear Transformation of Means and Covariances in Filters and Estimators”, IEEE Trans. Autom. Control, 45, 3, (2000). [CrossRef] [MathSciNet] [Google Scholar]
  27. T. Shim, C. Ghike, “Understanding the limitations of different vehicle models for roll dynamics studies”, Veh. Syst. Dyn., 45, 3, (2007). [CrossRef] [Google Scholar]

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