Mathematical models simulating the handling behavior of passenger cars are extensively used at a design stage for evaluating the effects of new structural solutions or control systems. The main source of uncertainty in these type of models lies in tire–road interaction, due to high nonlinearity. Proper estimation of tire model parameters is thus of utter importance to obtain reliable results. This paper presents a methodology aimed at identifying the magic formula-tire (MF-Tire) model coefficients of the tires of an axle only based on measurements carried out on board vehicle (vehicle sideslip angle, yaw rate, lateral acceleration, speed, and steer angle) during standard handling maneuvers (step-steers, double lane changes, etc.). The proposed methodology is based on particle filtering (PF) technique. PF may become a serious alternative to classic model-based techniques, such as Kalman filters. Results of the identification procedure were first checked through simulations. Then, PF was applied to experimental data collected using an instrumented passenger car.
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February 2017
Research-Article
A Particle Filter Approach for Identifying Tire Model Parameters From Full-Scale Experimental Tests
Edoardo Sabbioni,
Edoardo Sabbioni
Department of Mechanical Engineering,
Politecnico di Milano
Via La Masa 1,
Milano 20156, Italy
e-mail: edoardo.sabbioni@polimi.it
Politecnico di Milano
Via La Masa 1,
Milano 20156, Italy
e-mail: edoardo.sabbioni@polimi.it
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Ruixin Bao,
Ruixin Bao
School of Mechanical Engineering,
Liaoning University,
Liaoning Shihua University,
Fushun 113001, China
e-mail: ruixinbao@126.com
Liaoning University,
Liaoning Shihua University,
Fushun 113001, China
e-mail: ruixinbao@126.com
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Federico Cheli,
Federico Cheli
Department of Mechanical Engineering,
Politecnico di Milano,
Via La Masa 1,
Milano 20156, Italy
e-mail: federico.cheli@polimi.it
Politecnico di Milano,
Via La Masa 1,
Milano 20156, Italy
e-mail: federico.cheli@polimi.it
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Davide Tarsitano
Davide Tarsitano
Department of Mechanical Engineering,
Politecnico di Milano
Via La Masa 1,
Milano 20156, Italy
e-mail: davide.tarsitano@polimi.it
Politecnico di Milano
Via La Masa 1,
Milano 20156, Italy
e-mail: davide.tarsitano@polimi.it
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Edoardo Sabbioni
Department of Mechanical Engineering,
Politecnico di Milano
Via La Masa 1,
Milano 20156, Italy
e-mail: edoardo.sabbioni@polimi.it
Politecnico di Milano
Via La Masa 1,
Milano 20156, Italy
e-mail: edoardo.sabbioni@polimi.it
Ruixin Bao
School of Mechanical Engineering,
Liaoning University,
Liaoning Shihua University,
Fushun 113001, China
e-mail: ruixinbao@126.com
Liaoning University,
Liaoning Shihua University,
Fushun 113001, China
e-mail: ruixinbao@126.com
Federico Cheli
Department of Mechanical Engineering,
Politecnico di Milano,
Via La Masa 1,
Milano 20156, Italy
e-mail: federico.cheli@polimi.it
Politecnico di Milano,
Via La Masa 1,
Milano 20156, Italy
e-mail: federico.cheli@polimi.it
Davide Tarsitano
Department of Mechanical Engineering,
Politecnico di Milano
Via La Masa 1,
Milano 20156, Italy
e-mail: davide.tarsitano@polimi.it
Politecnico di Milano
Via La Masa 1,
Milano 20156, Italy
e-mail: davide.tarsitano@polimi.it
Contributed by the Design Automation Committee of ASME for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received March 31, 2016; final manuscript received October 30, 2016; published online December 12, 2016. Assoc. Editor: Massimiliano Gobbi.
J. Mech. Des. Feb 2017, 139(2): 021403 (7 pages)
Published Online: December 12, 2016
Article history
Received:
March 31, 2016
Revised:
October 30, 2016
Citation
Sabbioni, E., Bao, R., Cheli, F., and Tarsitano, D. (December 12, 2016). "A Particle Filter Approach for Identifying Tire Model Parameters From Full-Scale Experimental Tests." ASME. J. Mech. Des. February 2017; 139(2): 021403. https://doi.org/10.1115/1.4035186
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