Modification of the adhesive force by changing the radial reaction on vehicle wheels

• Autorzy: Jilek Petr , Krmela Jan , Berg Jan

Identyfikatory

DOI

10.21307/tp-2021-015

• Języki publikacji: EN

Abstrakty

EN

This article deals with the possibilities of adhesion force changes of a road vehicle. The authors present the possibilities of reducing the adhesion force of road vehicles and, at the same time, present their own system for changing the radial reaction of the vehicle wheels. This system removes the disadvantages of a commercially available SkidCar system. A representative road test is chosen in the article to determine the stability in a straight-line drive. Furthermore, the authors report the courses of characteristic parameters describing the behavior of a vehicle for driving a conventional car on a sliding surface and compared to the 50 % radial reaction of a vehicle driven with the SlideWheel on dry asphalt. It is clear from the measured runs that it is possible to change the adhesion force by changing the adhesion weight transmitted by the vehicle wheels. The use of the proposed SlideWheel system is possible for the purpose of verifying vehicle stability, while improving the driver's ability to operate the vehicle under reduced-adhesion conditions. The main goal of this paper is to design a system for reducing the adhesive force in an experimental car and perform experimental measurements.

Słowa kluczowe

EN

vehicle; SkidCar; wheel; adhesive force; radial force

PL

pojazd; SkidCar; koło; siła przyczepności; siła promieniowa

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2021
• Tom: T. 16, z. 1
• Strony: 179--186
• Opis fizyczny: Bibliogr. 12 poz.

Twórcy

autor

Jilek Petr

• University of Pardubice, Faculty of Transport Engineering Studentská 95, 532 10 Pardubice, Czech Republic

autor

Krmela Jan

• Alexander Dubček University of Trenčín, Faculty of Industrial Technologies Ivana Krasku 491/30, 020 01 Púchov, Slovak Republic

autor

Berg Jan

• University of Pardubice, Faculty of Transport Engineering Studentská 95, 532 10 Pardubice, Czech Republic

Bibliografia

• 1. Boopalan, N. & Ranjith, K. & Praveenraj, S. & Piruthiviraj, B. Design and fabrication of automotive vehicle dynamic control with collision avoiding and warning system. International Journal of Scientific and Technology Research. 2020. Vol. 9. No. 4. P. 3676-3680.
• 2. Han, K. & Lee, E. & Choi, M. & et al. Adaptive scheme for the real-time estimation of tire-road friction coefficient and vehicle velocity. IEEE/ASME Trans. Mechatronics. 2017. Vol. 22. No. 4. P.1508-1518.
• 3. Jilek, P. & Šefčík, I. & Verner, J. & et al. System allowing adhesion force change of road vehicle. In: 18th International Scientific Conference Engineering for Rural Development. Jelgava, Latvia. 2019. P. 1876-1882.
• 4. Choi, M. & Choi, S.B. Model predictive control for vehicle yaw stability with practical concerns. IEEE transactions on vehicular technology. 2014. Vol 63. No. 8, P 3539-3548.
• 5. Jung, H. & Choi, S. Control of AWD System for Vehicle Performance and Safety. 8th International Conference on Computer and Automation Engineering (ICCAE 2016). Melbourne, Australia. 2016.
• 6. Hajdučík, A. & Škrabala, J. & Medvecký, Š. & et al. Kinematic analysis of trapezoidal suspension. Scientific Journal of Silesian University of Technology. Series Transport. 2019. Vol. 104. P. 27-35.
• 7. Lee, E. & Lee, J. & Choi, S. String tire model for evaluating steering agility performance using tire cornering force and lateral static characteristics. Vehicle System Dynamics: Int. J. Vehicle Mechanics and Mobility. 2016. Vol. 55. No. 2. P. 231-243.
• 8. Novikov, I. & Lazarev, D. Experimental Installation for Calculation of Road Adhesion Coefficient of Locked Car Wheel. In: 12th international conference - organization and traffic safety management in large cities spbotsic-2016. St Petersburg. 2017. Vol. 20. P 463-467.
• 9. Onat, A. & Voltr, P. Particle swarm optimization based parametrization of adhesion and creep force models for simulation and modelling of railway vehicle systems with traction. Simulation modelling practice and theory. 2020. Vol. 99. P. 156-163.
• 10. Song, B. Cooperative lateral vehicle control for autonomous valet parking. International journal of automotive technology. 2013. Vol. 14. No. 4. P. 633-640.
• 11. Soukup, J. & Krmela, J. & Krmelová, V. & at. al. FEM model of structure for weightlifting in CrossFit in terms of material parameters. Manufacturing Technology. 2019. Vol. 19. No. 2. P. 321-326.
• 12. Krmela, J. Tire Casings and Their Material Characteristics for Computational Modeling. Częstochowa, Poland. 2017. ISBN 978-83-63978-62-4. Available at: http://krmela.wz.cz/ kniha_obalka_en.png.