Skip to main content

Advertisement

SpringerLink
Log in

Sequential estimation strategy based on sensitivity analysis for vehicle handling parameter estimation

  • Published:
International Journal of Advances in Engineering Sciences and Applied Mathematics Aims and scope Submit manuscript

Abstract

In this work vehicle handling parameters are estimated using a sequence of maneuvers rather than a single specific maneuver. Unlike other vehicle handling parameter estimation methods, the evolutionary optimization procedure, Genetic Algorithm has been applied directly to the CarSim® multi-degree of freedom vehicle model. The use of CarSim® multi-degree of freedom vehicle model rather than simple vehicle models replicates fully the actual car. A parametric study acts as the starting point and enumerates the sensitivity link between a particular maneuver and one or more vehicle response parameters. Later the estimated vehicle handling parameters are verified with different maneuvers, to underline the consistency of the prediction.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  1. Isermann, Rolf, Munchhof, Marco: Identification of Dynamic System: An Introduction with Application. Springer, SA (2011)

    Google Scholar 

  2. Feng Huang, J., Roger Chen, Lung Wen Tsai: The use of random steer test data for vehicle parameter estimation.Technical Paper 930830. Soc. of Automot. Eng. (1993)

  3. Laura R Ray: Nonlinear tire force estimation and road friction identification: field test results. Technical Paper 960181. Soc. of Automot. Eng. (1996)

  4. Bolzern, P., Cheli, F., Falciola, G., Resta, F.: Estimation of non-linear suspension tyre cornering forces from experimental road test data. Veh. Syst. Dyn. 31, 23–34 (1999)

    Article  Google Scholar 

  5. Russo, Michele, Russo, Riccardo, Volpe, Agostino: Car parameters identification by handling maneuvers. Veh. Sys. Dyn. 34, 423–436 (2000)

    Article  Google Scholar 

  6. Hodgson, G., Best, M.C.: A parameter identifying a Kalman filter observer for vehicle handling dynamics. Proc. Inst. Mech. Eng. D J. Automob. Eng. 220, 1063–1072 (2006)

    Article  Google Scholar 

  7. Ouladsine, M., Shraim, H., Fridman, L., Noura, H.: Vehicle Parameter Estimation and Stability Enhancement Using the Principles of Sliding Mode. Proc. Am. Control Conf, Washington (2007)

    Google Scholar 

  8. Isermann, R., Börner, M.: Adaptive one-track model in critical lateral driving simulations. Proc. of AVEC’02. 6th Int. Symp. on Adv. Veh. Control. 393–400 (2002)

  9. Bolhasani, M.R., Azadi, S.H., Toos, K.N.: Parameter Estimation of Vehicle Handling Model Using Genetic Algorithm. Technical Paper 2002-01-1577. Soc. of Automot. Eng, Japan (2002)

    Book  Google Scholar 

  10. Genta, G.: Motor Vehicle Dynamic–Modeling and Simulation. World Scientific, Singapore (1997)

    Google Scholar 

  11. Nalecz, A.G.: Application of sensitivity methods to analysis and synthesis of vehicle dynamic systems. Veh. Syst. Dyn. 18, 1–44 (1988)

    Google Scholar 

  12. Jang, J.H., Han, C.S.: The state sensitivity analysis of the front wheel steering vehicle: in the time domain. KSME Int. J. 11, 595–604 (1997)

    Google Scholar 

  13. Jang, Bongchoon: Dean Karnopp Simulation of vehicle and power steering dynamics using tire model parameters matched to whole vehicle experimental results. Veh. Syst. Dyn. 33, 121–133 (2000)

    Article  Google Scholar 

  14. Grau, C.A.: A Parametric Study of the Lateral Dynamics Of a Nonlinear Four Wheel Road Vehicle Model. Univ. of Cincinnati, Cincinnati (2002)

    Google Scholar 

  15. Nozaki, H.: Effects of the front and rear weight distribution ratio of a formula car during maximum speed cornering on a circuit. Int. J. of Automot. Tech. 9, 307–315 (2008)

    Article  Google Scholar 

  16. Ryu, J.: State and parameter estimation for vehicle dynamics control using GPS. Stanford Univ, California (2004)

    Google Scholar 

  17. Dixon, J.C.: Tyres, Suspension and Handling. Camb. Univ. Press, New York (1991)

    Google Scholar 

  18. Road vehicles-Steady-state circular test procedure: International standard ISO 4138. Inter. Organ. for Stand. (2004)

  19. Road Vehicles-Transient open-loop response test method with one period of sinusoidal input: International standard ISO/TR 8725. Inter. Organ. for Stand. (1988)

  20. Road vehicles-Vehicle dynamics test methods Part 1: General conditions for passenger cars: International standard ISO 15073-1. Inter. Organ. for Stand. (1998)

  21. Passenger cars-test track for a sever lane change maneuver-part 1: Double lane change: International standard ISO/TR 3888-1. Inter. Organ. for Stand. (1999)

  22. Road vehicles-lateral transient response test methods-open loop test methods: International standard ISO 7401. Inter. Organ. Stand. (2003)

  23. Yao, L., Sethares, W.A.: Non-linear parameter estimation via the genetic algorithm. IEEE Trans. Signal Processing 42, 927–935 (1994)

    Article  Google Scholar 

  24. Alberer, D., Hjalmarsson, H., Re, L.D. (eds.): Identification of Automotive Systems. Springer-Verlog, Heidelberg (2012)

    Google Scholar 

  25. Nelles, O.: Nonlinear System Identification. Springer Verlag, Heidelberg (2001)

    MATH  Google Scholar 

  26. MATLAB software help manual (2007)

  27. RezaJazar, N.: Vehicle Dynamics: Theory and Application. Springer, Heidelberg (2008)

    Book  Google Scholar 

Download references

Acknowledgments

The authors thank M/s. J.K. Tyres, India for their constant support and encouragement throughout the period of this research work. The authors also warmly acknowledge Dr. R. Mukhopadhyay, Director (R&D), Hari Shankar Singhania Elastomer and Tyre Research Institute (HASETRI), India for the support and constant encouragement extended throughout this research work.

Author information

Authors and Affiliations

  1. Raghupati Singhania Centre of Excellence for Tyre and Vehicle Mechanics, IIT Madras, Chennai, India

    S. Jaiganesh

  2. Department of Engineering Design, IIT Madras, Chennai, India

    R. Krishna Kumar

Authors
  1. S. Jaiganesh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. R. Krishna Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to R. Krishna Kumar.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Jaiganesh, S., Krishna Kumar, R. Sequential estimation strategy based on sensitivity analysis for vehicle handling parameter estimation. Int J Adv Eng Sci Appl Math 4, 269–278 (2012). https://doi.org/10.1007/s12572-012-0075-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12572-012-0075-x

Keywords

Search

Navigation