Longitudinal Tire Dynamics

Clover, C.L.; Bernard, J. E.

doi:10.1080/00423119808969374

Cited by 72 publications

(24 citation statements)

References 10 publications

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“…To solve this problem, this paper adopts a modified slip rate calculation method which was proposed by Bernard [22]. Hence the Equation (6) can be changed into a state Equation (7) of ω wi and u:…”

Section: Slip Rate Calculation Modelmentioning

confidence: 99%

An Acceleration Slip Regulation Strategy for Four-Wheel Drive Electric Vehicles Based on Sliding Mode Control

Peng

Xiong

et al. 2014

Energies

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This paper presents an acceleration slip regulation (ASR) system for four-wheel drive (4WD) electric vehicles, which are driven by the front and rear axles simultaneously. The ASR control strategy includes three control modes: average distribution of inter-axle torque, optimal distribution of inter-axle torque and independent control of optimal slip rate, respectively, which are designed based on the torque adaptive principle of inter-axle differential and sliding mode control theory. Furthermore, in order to accurately describe the longitudinal tyre force characteristic, a slip rate calculation formula in the form of a state equation was used for solving the numerical problem posed by the traditional way. A simulation was carried out with the MATLAB/Simulink software. The simulation results show that the proposed ASR system can fully use the road friction condition, inhibit the drive-wheels from slipping, and improve the vehicle longitudinal driving stability.

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Section: Slip Rate Calculation Modelmentioning

confidence: 99%

An Acceleration Slip Regulation Strategy for Four-Wheel Drive Electric Vehicles Based on Sliding Mode Control

Peng

Xiong

et al. 2014

Energies

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“…When the tire slip rate is less than a certain value, the longitudinal force and slip rate behave as approximate linear relationship. 24 When the vehicle normally driving has slip rate rarely .2% in the linear region, therefore, the relationship between the force and slip rate can be defined as equation (1) …”

Section: Establishment Of the Modelmentioning

confidence: 99%

Longitudinal velocity estimation based on fuzzy logic for electronic stability control system

Jin

Chen

Zhang

et al. 2017

Advances in Mechanical Engineering

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Vehicle longitudinal velocity is a corner stone to many important vehicular applications, especially the electronic stability control system, and needed to be theoretically estimated; in the meantime, it also requires more high performance of real time and accuracy. In this article, we propose a new method for the estimation of vehicle longitudinal velocity based on the wheel speed signals and evaluate their confidence levels with Takagi Sugeno Kang (TSK)-fuzzy model. First, according to the normal conditions and extreme conditions of experimental vehicles with the variation of the wheel speed in the electronic stability control intervention, the vehicle driving states can be divided into three kinds of working conditions: acceleration, deceleration, and sliding. Then, we consider whatever that may happen to the fuzzy rules in the automobile travel process. Although the quantities of fuzzy rules are many, the amount of computation is well controlled at the same time. Finally, the accuracy of longitudinal velocity estimation is verified through the real vehicle tests such as double-lane change course and slalom test. The results indicate that the longitudinal velocity does not show the wrong trend with the wheel speed signals changing rapidly under the extreme working conditions. The system has outstanding real-time performance and application.

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“…Clover [19] describes a basic algorithm for implementing the wheel slip and wheel spin equations. The algorithm includes a step that multiplies ∂F x /∂λ and F x 0 by the sign of the wheel longitudinal velocity, u.…”

Section: Tiresmentioning

confidence: 99%

Handling Qualities of a Blended Wing Body Aircraft

Peterson

Grant

2011

AIAA Atmospheric Flight Mechanics Conference

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The blended wing body (BWB) is a tailless aircraft with the potential to use 27% less fuel than a conventional aircraft with the same passenger capacity and range. The primary purpose of the current study was to determine the handling qualities of the BWB, using piloted-handling trials in a moving-base simulator. The secondary purpose was to determine the effect of simulator motion on handling-quality ratings. De Castro conducted piloted-handling trials in a fixed-base simulator. De Castro's tasks and flight model were modified in the current study. In the current study, three subjects rated the handling qualities as Level 1 or 2, depending on the task. Simulator motion did not have a significant effect on the results.ii Acknowledgements I would like to thank Professor Peter Grant for welcoming me into the Vehicle Simulation Group and sharing his knowledge. Professor Grant gave me a choice of several interesting thesis topics; I appreciate being able to pick the one I found most exciting. I would also like to thank Bruce Haycock, Stacey Liu, and Amir Naseri for their help with setting up the piloted-handling trials and their expertise in flight simulation. To the pilots who volunteered for the handling trials -I thank you for participating. This research was made far more meaningful because of your contribution.

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Longitudinal Tire Dynamics

Cited by 72 publications

References 10 publications

An Acceleration Slip Regulation Strategy for Four-Wheel Drive Electric Vehicles Based on Sliding Mode Control

An Acceleration Slip Regulation Strategy for Four-Wheel Drive Electric Vehicles Based on Sliding Mode Control

Longitudinal velocity estimation based on fuzzy logic for electronic stability control system

Handling Qualities of a Blended Wing Body Aircraft

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