Try Mobilus Beta
Search tips
 This content is not included in your SAE MOBILUS subscription, or you are not logged in.

An Algorithm for Parameter Identification of Semi-Empirical Tire Model

Journal Article
10-05-03-0026
ISSN: 2380-2162, e-ISSN: 2380-2170
DOI: https://doi.org/10.4271/10-05-03-0026
Published May 25, 2021 by SAE International in United States
An Algorithm for Parameter Identification of Semi-Empirical Tire Model
Sector:
Citation: Zhang, K., Zhang, Y., and Xu, P., "An Algorithm for Parameter Identification of Semi-Empirical Tire Model," SAE Int. J. Veh. Dyn., Stab., and NVH 5(3):379-396, 2021, https://doi.org/10.4271/10-05-03-0026.
Language: English

References

  1. Pacejka , H. and Bakker , E. The Magic Formula Tyre Model Vehicle System Dynamics 21 1992 1 18 https://doi.org/10.1080/00423119208969994
  2. Guo , K. , Chen , P. , Xu , N. , Yang , C. et al. Tire Side Force Characteristics with the Coupling Effect of Vertical Load and Inflation Pressure SAE Int. J. Veh. Dyn., Stab., and NVH 3 1 2019 19 30 https://doi.org/10.4271/10-03-01-0002
  3. Li , B. , Yang , X. , Yang , J. , Zhang , Y. et al. In-Plane Parameter Relationship between the 2D and 3D Flexible Ring Tire Models SAE Technical Paper 2017-01-0414 2017 https://doi.org/10.4271/2017-01-0414
  4. Elhefnawy , A. , Sharaf , A. , Ragheb , H. , and Hegazy , S. Design of an Integrated Yaw-Roll Moment and Active Front Steering Controller using Fuzzy Logic Control SAE Int. J. Veh. Dyn., Stab., and NVH 1 2 2017 270 282 https://doi.org/10.4271/2017-01-1569
  5. Novi , T. , Liniger , A. , Capitani , R. , Fainello , M. et al. The Influence of Autonomous Driving on Passive Vehicle Dynamics SAE Int. J. Veh. Dyn., Stab., and NVH 2 4 2018 285 295 https://doi.org/10.4271/2018-01-0551
  6. Jose , V. , Francis , A. , and Ming , K. Optimal Tire Force Control & Allocation for Longitudinal and Yaw Moment Control of HEV with eAWD Capabilities SAE Int. J. Veh. Dyn., Stab., and NVH 1 2 2017 220 233 https://doi.org/10.4271/2017-01-1558
  7. Johannes , W. , Mao , Y. , and Frank , E. Using Generic Tyre Parameters for Low Friction Surfaces in Full Vehicle Simulations SAE Int. J. Veh. Dyn., Stab., and NVH 1 2 2017 190 197 https://doi.org/10.4271/2017-01-1506
  8. Coleman , T. and Li , Y. An Interior, Trust Region Approach for Nonlinear Minimization Subject to Bounds SIAM Journal on Optimization 6 2 1996 418 445 https://doi.org/10.1137/0806023
  9. Alagappan , A. , Narasimha , K. , and Krishna , R. A Comparison of Various Algorithms to Extract Magic Formula Tyre Model Coefficients for Vehicle Dynamics Simulations Vehicle System Dynamics 53 2 2015 154 178 https://doi.org/10.1080/00423114.2014.984727
  10. Marquardt , D. An Algorithm for Least-Squares Estimation of Nonlinear Parameters Journal of the Society for Industrial & Applied Mathematics 11 2 1963 431 441 https://doi.org/10.2307/2098941
  11. Broyden , G. Quasi-Newton Methods and Their Application to Function Minimisation Mathematics of Computation 21 99 1967 368 368 https://doi.org/10.1090/S0025-5718-1967-0224273-2
  12. Sun , W. and Yuan , Y. Optimization Theory and Methods: Nonlinear Programming New York Springer 2006 https://doi.org/10.1007/b106451
  13. Nelder , J. and Mead , R. A Simplex Method for Function Minimization Comput J 7 1965 308 313 https://doi.org/10.1093/comjnl/7.4.308
  14. Cabrera , J. , Ortiz , A. , Carabias , E. , and Simon , A. An Alternative Method to Determine the Magic Tyre Model Parameters Using Genetic Algorithms Vehicle System Dynamics 41 2 2014 109 127 https://doi.org/10.1076/vesd.41.2.109.26496
  15. Cabrera , J. , Ortiz , A. , Estebanez , B. , Nadal , F. et al. A Coevolutionary Algorithm for Tyre Model Parameters Identification Structural and Multidisciplinary Optimization 41 5 2010 749 763 https://doi.org/10.1007/s00158-009-0446-5
  16. Kennedy , J. and Eberhart , R. Particle Swarm Optimization Proceedings of ICNN’95-International Conference on Neural Networks IEEE 4 1995 1942 1948 https://doi.org/10.1109/ICNN.1995.488968
  17. Zhuo , G. , Wang , J. , and Zhang , F. Parameter Identification of Tyre Model Based on Improved Particle Swarm Optimization Algorithm SAE Technical Paper 2015-01-1586 2015 https://doi.org/10.4271/2015-01-1586
  18. Li , B. , Yang , X. , and Yang , J. Development of an Out-of-Plane Flexible Ring Tyre Model Compared with Commercial FTire Via Virtual Cleat Tests SAE Technical Paper 2018-01-1120 2018 https://doi.org/10.4271/2018-01-1120
  19. Melzi , S. , Resta , F. , and Sabbioni , E. Vehicle Sideslip Angle Estimation through Neural Networks: Application to Numerical Data ASME Biennial Conference on Engineering Systems Design & Analysis Torino, Italy 2006 https://doi.org/10.1115/ESDA2006-95376
  20. Combiaghi , D. , Gadola , M. , Vetturi , D. , and Manzo , L. Genetic Algorithm for Tyre Model Identification in Automotive Dynamics Studies SAE Technical Paper 1996-25-0380 1996 https://doi.org/10.4271/1996-25-0380
  21. Jiang , J. , Lu , J. , Li , J. , and Li , L. A Novel Parameter Identification Method for Tire Models Proceedings of the ASME 2016 International Mechanical Engineering Congress and Exposition. Volume 4B: Dynamics, Vibration, and Control Phoenix, AZ 2016 V04BT05A033 https://doi.org/10.1115/IMECE2016-68202
  22. Vyasarayani , C. , Uchida , T. , and McPhee , J. Nonlinear Parameter Identification in Multibody Systems Using Homotopy Continuation Journal of Computational and Nonlinear Dynamics 7 1 2012 011012 https://doi.org/10.1115/1.4004885
  23. Channadi , B. , Razavian , R. , and McPhee , J. A Modified Homotopy Optimization for Parameter Identification in Dynamic Systems with Backlash Discontinuity Nonlinear Dynamics 95 2015 57 72 https://doi.org/10.1007/s11071-018-4550-1
  24. Zhang , K. , Duan , Y. , Zhang , Y. , and Yang , X. Determination of Magic Formula Tyre Model Parameters Using Homotopy Optimization Approach SAE Technical Paper 2020-01-0763 2020 https://doi.org/10.4271/2020-01-0763
  25. Ahn , S. , Rauh , W. , and Warnecke , H. Least-Squares Orthogonal Distances Fitting of Circle, Sphere, Ellipse, Hyperbola, and Parabola Pattern Recognition 34 12 2001 2283 2303 https://doi.org/10.1016/S0031-3203(00)00152-7
  26. Golub , G. and Loan , C. An Analysis of the Total Least Squares Problem New York Cornell University 1980 https://doi.org/10.1137/0717073
  27. Boggs , P. , Spiegelman , C. , and Donaldson , J. A Computational Examination of Orthogonal Distance Regression Journal of Econometrics 38 1-2 1988 169 201 https://doi.org/10.1016/0304-4076(88)90032-2
  28. Boggs , P. , Byrd , R. , and Schnabel , R. A Stable and Efficient Algorithm for Nonlinear Orthogonal Distance Regression Siam Journal on Scientific & Statistical Computing 8 6 2006 1052 1078 https://doi.org/10.1137/0908085
  29. López , A. , Olazagoitia , J. , Marzal , F. , and Rubio , M. Optimal Parameter Estimation in Semi-Empirical Tire Models Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering 233 2019 73 87 https://doi.org/10.1177/0954407018779851
  30. Macdonald , J. and Ross , J. Least-Squares Fitting When Both Variables Contain Errors: Pitfalls and Possibilities American Journal of Physics 60 1 1992 66 73 https://doi.org/10.1119/1.17046
  31. Gennip , V. and McPhee , J. Parameter Identification and Validation for Combined Slip Tire Models Using a Vehicle Measurement System SAE Int. J. Veh. Dyn., Stab., and NVH 2 4 2018 297 310 https://doi.org/10.4271/2018-01-1339

Cited By