Tire Model Application and Parameter Identification-A Literature Review

Li, Bin; Yang, Xiaobo; Yang, James

doi:10.4271/2014-01-0872

Cited by 34 publications

(14 citation statements)

References 57 publications

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“…about 190 parameters for the SWIFT-model) [23]. Generally, the widespread used Pacejka model -also known as Magic Formula (MF) -is considered as presenting the best properties in comparison with the Burckhardt model or the Highway-Safety-Research-Insti tute-model [21,37]. For this reason, the MF-5.2 is implemented here.…”

Section: Wheel and Tire Modelmentioning

confidence: 99%

Automotive drivetrain model for transmission damage prediction

et al. 2015

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Section: Wheel and Tire Modelmentioning

confidence: 99%

Automotive drivetrain model for transmission damage prediction

et al. 2015

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“…The complete drivetrain model presents twelve to fourteen degrees of freedom according to the clutch and synchronizer states. An engine model provides the engine torque and its cyclic irregularities [22,23], and a Pacejka MF5.2 tire model with vertical wheel load dependency and transient behavior computes the longitudinal tire force [24][25][26]. A differential transmission model is also implemented, so that tire grip losses can be simulated.…”

Section: Drivetrain Modelmentioning

confidence: 99%

Online and real-time monitoring system for remaining service life estimation of automotive transmissions – Application to a manual transmission

et al. 2015

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“…The velocity of the vehicle is rewritten in terms of the angular speed of the wheels and torques from (16)…”

Section: Smo Schemementioning

confidence: 99%

Estimation of road frictional force and wheel slip for effective antilock braking system (ABS) control

Rajendran

Spurgeon

Tsampardoukas

et al. 2018

Intl J Robust & Nonlinear

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Summary The introduction of electric braking via brake‐by‐wire systems in electric vehicles) has reduced the high transportation delays usually involved in conventional friction braking systems. This has facilitated the design of more efficient and advanced control schemes for antilock braking systems (ABSs). However, accurate estimation of the tire‐road friction coefficient, which cannot be measured directly, is required. This paper presents a review of existing estimation methods, focusing on sliding‐mode techniques, followed by the development of a novel friction estimation technique, which is used to design an efficient ABS control system. This is a novel slip‐based estimation method, which accommodates the coupling between the vehicle dynamics, wheel dynamics, and suspension dynamics in a cascaded structure. A higher‐order sliding‐mode observer–based scheme is designed, considering the nonlinear relationship between friction and slip. A first‐order sliding‐mode observer is also designed based on a purely linear relationship. A key feature of the proposed estimation schemes is the inclusion of road slope and the effective radius of the tire as an estimated state. These parameters impact significantly on the accuracy of slip and friction estimation. The performance of the proposed estimation schemes are validated and benchmarked against a Kalman filter (KF) by a series of simulation tests. It is demonstrated that the sliding‐mode observer paradigm is an important tool in developing the next generation ABS systems for electric vehicles.

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Tire Model Application and Parameter Identification-A Literature Review

Cited by 34 publications

References 57 publications

Automotive drivetrain model for transmission damage prediction

Automotive drivetrain model for transmission damage prediction

Online and real-time monitoring system for remaining service life estimation of automotive transmissions – Application to a manual transmission

Estimation of road frictional force and wheel slip for effective antilock braking system (ABS) control

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