Identification method of tire-road adhesion coefficient based on tire physical model and strain signal for pure longitudinal slip

ZHANG, jintao ;JIN, Zhecheng ;ZHOU, Haichao ;ZHANG, Yu ;WANG, Guolin .
Identification method of tire-road adhesion coefficient based on tire physical model and strain signal for pure longitudinal slip. 
Articles in Press, [S.l.], v. 0, n.0, p. , april 2025. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/identification-method-of-tire-road-adhesion-coefficient-based-on-tire-physical-model-and-strain-signal-for-pure-longitudinal-slip/>. Date accessed: 19 apr. 2025. 
doi:http://dx.doi.org/.

zhang, J., Jin, Z., Zhou, H., Zhang, Y., & Wang, G.
(0).
Identification method of tire-road adhesion coefficient based on tire physical model and strain signal for pure longitudinal slip.
Articles in Press, 0(0), .
doi:http://dx.doi.org/

@article{.,
	author = {jintao  zhang and Zhecheng  Jin and Haichao  Zhou and Yu  Zhang and Guolin  Wang},
	title = {Identification method of tire-road adhesion coefficient based on tire physical model and strain signal for pure longitudinal slip},
	journal = {Articles in Press},
	volume = {0},
	number = {0},
	year = {0},
	keywords = {},
	abstract = {To precisely calculate the tire-road adhesion coefficient of rolling tires under various slip rates, and enhance the safety and stability of vehicle operation, an approach for estimating tire-road adhesion coefficient based on strain sensors and brush models was proposed. First, a finite element model of 205/55R16 radial tire was established, and the model's effectiveness was verified through static ground contact and radial stiffness experiments. Then, the circumferential strain signal of the inner liner centerline of the tire during braking was extracted, utilizing the average peak spacing angle of the first-order and second-order circumferential strain curves, the contact patch length was estimated using the arc length formula. Subsequently, the braking simulation of rolling tires confirmed the asymmetry of pressure distribution within the ground contact patch, estimating the position of slip points within the contact patch based on arbitrary pressure distribution function and brush model, nonlinear regression was employed to fit the estimation function of slip point under various slip rates. Finally, developed a functional relationship between tire-road adhesion coefficient and slip rate, considering the friction characteristics between tire rubber and road surface, the friction model employed is based on exponential decay. The results suggest that the methods described above enable rolling tires to estimate the tire-road adhesion coefficient under different slip rates, offering valuable insights for the application of intelligent tires in vehicle dynamics control.},
	issn = {0039-2480},	pages = {},	doi = {},
	url = {https://www.sv-jme.eu/sl/article/identification-method-of-tire-road-adhesion-coefficient-based-on-tire-physical-model-and-strain-signal-for-pure-longitudinal-slip/}
}

zhang, J.,Jin, Z.,Zhou, H.,Zhang, Y.,Wang, G.
0 April 0. Identification method of tire-road adhesion coefficient based on tire physical model and strain signal for pure longitudinal slip. Articles in Press. [Online] 0:0

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%A Jin, Zhecheng 
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%A Zhang, Yu 
%A Wang, Guolin 
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%T Identification method of tire-road adhesion coefficient based on tire physical model and strain signal for pure longitudinal slip
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%! Identification method of tire-road adhesion coefficient based on tire physical model and strain signal for pure longitudinal slip
%K 
%X To precisely calculate the tire-road adhesion coefficient of rolling tires under various slip rates, and enhance the safety and stability of vehicle operation, an approach for estimating tire-road adhesion coefficient based on strain sensors and brush models was proposed. First, a finite element model of 205/55R16 radial tire was established, and the model's effectiveness was verified through static ground contact and radial stiffness experiments. Then, the circumferential strain signal of the inner liner centerline of the tire during braking was extracted, utilizing the average peak spacing angle of the first-order and second-order circumferential strain curves, the contact patch length was estimated using the arc length formula. Subsequently, the braking simulation of rolling tires confirmed the asymmetry of pressure distribution within the ground contact patch, estimating the position of slip points within the contact patch based on arbitrary pressure distribution function and brush model, nonlinear regression was employed to fit the estimation function of slip point under various slip rates. Finally, developed a functional relationship between tire-road adhesion coefficient and slip rate, considering the friction characteristics between tire rubber and road surface, the friction model employed is based on exponential decay. The results suggest that the methods described above enable rolling tires to estimate the tire-road adhesion coefficient under different slip rates, offering valuable insights for the application of intelligent tires in vehicle dynamics control.
%U https://www.sv-jme.eu/sl/article/identification-method-of-tire-road-adhesion-coefficient-based-on-tire-physical-model-and-strain-signal-for-pure-longitudinal-slip/
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zhang, jintao, Zhecheng  Jin, Haichao  Zhou, Yu  Zhang, & Guolin  Wang.
"Identification method of tire-road adhesion coefficient based on tire physical model and strain signal for pure longitudinal slip." Articles in Press [Online], 0.0 (0): . Web.  19 Apr. 2025

TY  - JOUR
AU  - zhang, jintao 
AU  - Jin, Zhecheng 
AU  - Zhou, Haichao 
AU  - Zhang, Yu 
AU  - Wang, Guolin 
PY  - 0
TI  - Identification method of tire-road adhesion coefficient based on tire physical model and strain signal for pure longitudinal slip
JF  - Articles in Press
DO  - 
KW  - 
N2  - To precisely calculate the tire-road adhesion coefficient of rolling tires under various slip rates, and enhance the safety and stability of vehicle operation, an approach for estimating tire-road adhesion coefficient based on strain sensors and brush models was proposed. First, a finite element model of 205/55R16 radial tire was established, and the model's effectiveness was verified through static ground contact and radial stiffness experiments. Then, the circumferential strain signal of the inner liner centerline of the tire during braking was extracted, utilizing the average peak spacing angle of the first-order and second-order circumferential strain curves, the contact patch length was estimated using the arc length formula. Subsequently, the braking simulation of rolling tires confirmed the asymmetry of pressure distribution within the ground contact patch, estimating the position of slip points within the contact patch based on arbitrary pressure distribution function and brush model, nonlinear regression was employed to fit the estimation function of slip point under various slip rates. Finally, developed a functional relationship between tire-road adhesion coefficient and slip rate, considering the friction characteristics between tire rubber and road surface, the friction model employed is based on exponential decay. The results suggest that the methods described above enable rolling tires to estimate the tire-road adhesion coefficient under different slip rates, offering valuable insights for the application of intelligent tires in vehicle dynamics control.
UR  - https://www.sv-jme.eu/sl/article/identification-method-of-tire-road-adhesion-coefficient-based-on-tire-physical-model-and-strain-signal-for-pure-longitudinal-slip/

@article{{}{.},
	author = {zhang, J., Jin, Z., Zhou, H., Zhang, Y., Wang, G.},
	title = {Identification method of tire-road adhesion coefficient based on tire physical model and strain signal for pure longitudinal slip},
	journal = {Articles in Press},
	volume = {0},
	number = {0},
	year = {0},
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	url = {https://www.sv-jme.eu/sl/article/identification-method-of-tire-road-adhesion-coefficient-based-on-tire-physical-model-and-strain-signal-for-pure-longitudinal-slip/}
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TY  - JOUR
AU  - zhang, jintao 
AU  - Jin, Zhecheng 
AU  - Zhou, Haichao 
AU  - Zhang, Yu 
AU  - Wang, Guolin 
PY  - 2025/04/01
TI  - Identification method of tire-road adhesion coefficient based on tire physical model and strain signal for pure longitudinal slip
JF  - Articles in Press; Vol 0, No 0 (0): Articles in Press
DO  - 
KW  - 
N2  - To precisely calculate the tire-road adhesion coefficient of rolling tires under various slip rates, and enhance the safety and stability of vehicle operation, an approach for estimating tire-road adhesion coefficient based on strain sensors and brush models was proposed. First, a finite element model of 205/55R16 radial tire was established, and the model's effectiveness was verified through static ground contact and radial stiffness experiments. Then, the circumferential strain signal of the inner liner centerline of the tire during braking was extracted, utilizing the average peak spacing angle of the first-order and second-order circumferential strain curves, the contact patch length was estimated using the arc length formula. Subsequently, the braking simulation of rolling tires confirmed the asymmetry of pressure distribution within the ground contact patch, estimating the position of slip points within the contact patch based on arbitrary pressure distribution function and brush model, nonlinear regression was employed to fit the estimation function of slip point under various slip rates. Finally, developed a functional relationship between tire-road adhesion coefficient and slip rate, considering the friction characteristics between tire rubber and road surface, the friction model employed is based on exponential decay. The results suggest that the methods described above enable rolling tires to estimate the tire-road adhesion coefficient under different slip rates, offering valuable insights for the application of intelligent tires in vehicle dynamics control.
UR  - https://www.sv-jme.eu/sl/article/identification-method-of-tire-road-adhesion-coefficient-based-on-tire-physical-model-and-strain-signal-for-pure-longitudinal-slip/

zhang, jintao, Jin, Zhecheng, Zhou, Haichao, Zhang, Yu, AND Wang, Guolin.
"Identification method of tire-road adhesion coefficient based on tire physical model and strain signal for pure longitudinal slip" Articles in Press [Online], Volume 0 Number 0 (01 April 2025)