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Dimensional Analysis of Ground Vehicle in Extreme Maneuver Scenarios

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Abstract

This research proposes a parameter scaling method for dimensional analysis in extreme maneuver scenarios. Scaled vehicle experiments using dimensional analysis offer advantages in terms of test location, driver safety, and cost savings. Previous studies have overlooked the nonlinear effects of tires in dimensional analysis. Two methods are presented: scaling the frictional coefficient between tires and surfaces and virtual scaling of gravitational acceleration through time scaling. The methods were validated using a 1/8 scaled vehicle and the CarSim software program. This research establishes a practical and valid approach to parameter scaling in vehicle dynamics, considering tire nonlinearity and accommodating extreme maneuvers.

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Data sharing is not applicable to this study as no new datasets were created or analyzed.

Abbreviations

F x :

Longitudinal force, N

F y :

Lateral force, N

F z :

Vertical force, N

M x :

Roll moment, N·m

M y :

Pitch moment, N·m

M z :

Yaw moment, N·m

u :

Longitudinal velocity, m/s

v :

Lateral velocity, m/s

w :

Vertical velocity, m/s

p :

Roll rate, rad/s

q :

Pitch rate, rad/s

r :

Yaw rate, rad/s

I xx :

Roll moment of inertia, kg·m2

I yy :

Pitch moment of inertia, kg·m2

I zz :

Yaw moment of inertia, kg·m2

I xy :

Product of inertia about roll and pitch, kg·m2

I xz :

Product of inertia about roll and yaw, kg·m2

I yz :

Product of inertia about pitch and yaw, kg·m2

m :

Vehicle mass, kg

Ω :

Angular velocity of the wheel, rad/s

R :

Effective radius of the wheel, m

m i :

Equivalent mass over the ith tire, kg

g :

Gravitational acceleration, m/s2

g s :

Gravitational acceleration in the scaled environment, m/s2

μ :

Friction coefficient between the tire and the surface, –

c p :

Stiffness of the tire tread, N/m2

a :

Half length of the contact patch, m

References

  • Baars, M., et al. (2021). Control of a scaled vehicle in and beyond stable limit handling. IEEE Transactions on Vehicular Technology, 70(7), 6427–6437.

    Article  Google Scholar 

  • Behrendt, K. (2014). Vehicle guidance system for scaled vehicles through simple road networks based on external camera information. In CES Seminar, Mathcces and IKA, RWTH Aachen.

  • Brennan, S., & Alleyne, A. (1999). A scaled testbed for vehicle control: The IRS. In Proceedings of the 1999 IEEE international conference on control applications (Cat. No. 99CH36328) (vol. 1, pp. 327–332).

  • Brennan, S., & Alleyne, A. (2003). Generalized H-infinity vehicle control utilizing dimensional analysis. American Control Conference, 5, 3774–3780.

    Google Scholar 

  • Brennan, S. N. (1999). Modeling and control issues associated with scaled vehicles. Citeseer.

  • Burns, S., et al. (2002). Steering controller design using scale-model vehicles. In Proceedings of the thirty-fourth southeastern symposium on system theory (Cat. No. 02EX540) (pp. 476–478).

  • Chaichaowarata, R., & Wannasuphoprasit, W. (2013). Tire test for drifting dynamics of a scaled vehicle. Journal of Research and Applications in Mechanical Engineering, 1(3), 33–39.

    Google Scholar 

  • Deur, J., et al. (2004). A 3D brush-type dynamic tire friction model. Vehicle System Dynamics, 42(3), 133–173.

    Article  Google Scholar 

  • Sihombing, H., Safarudin, M., Yaakob, M. Y., & Aparow, V. R. (2013). Sensors configuration for small scale autonomous ground vehicle. Researches and Applications in Mechanical Engineering, 2, 2.

    Google Scholar 

  • Hilgert, J., et al. (2004a). Development of smart vehicles using a scaled mechatronic environment. IFAC Proceedings Volumes, 37(14), 85–90.

    Article  Google Scholar 

  • Hilgert, J., et al. (2004b). Vehicle dynamics observer for a scaled test vehicle. IFAC Proceedings Volumes, 37(22), 661–666.

    Article  Google Scholar 

  • Khalil, A., et al. (2021). Ridon vehicle: Drive-by-wire system for scaled vehicle platform and its application on behavior cloning. Energies, 14(23), 8039.

    Article  Google Scholar 

  • Lapapong, S., et al. (2009). Fidelity of using scaled vehicles for chassis dynamic studies. Vehicle System Dynamics, 47(11), 1401–1437.

    Article  Google Scholar 

  • Liburdi, A. (2010). Development of a scale vehicle dynamics test bed. Electronic Theses and Dissertations.

  • Longoria, R. G., et al. (2004). Scaled vehicle system dynamics and control: A case study in anti-lock braking. International Journal of Vehicle Autonomous Systems, 2(1/2), 18–39.

    Article  Google Scholar 

  • Milani, S., et al. (2021). The importance of equation η = μn2 in dimensional analysis and scaled vehicle experiments in vehicle dynamics. Vehicle System Dynamics, 60, 1–30.

    Google Scholar 

  • O’brien, R. T., et al. (2004). Scale-model vehicle analysis using an off-the-shelf scale-model testing apparatus. American Control Conference, 4, 3387–3392.

    Google Scholar 

  • Pacejka, H. (2005). Tire and vehicle dynamics (2nd ed.). Elsevier.

    Google Scholar 

  • Parczewski, K., & Wnęk, H. (2013). Using mobile scaled vehicle to investigate the truck lateral stability. Maintenance and Reliability, 15(4), 414–420.

    Google Scholar 

  • Polley, M., et al. (2006). Scaled vehicle tire characteristics: Dimensionless analysis. Vehicle System Dynamics, 44(2), 87–105.

    Article  Google Scholar 

  • Reuter, S., et al. (2012). Design and implementation of a vehicle dynamics control system by means of torque vectoring for an autonomous vehicle. In IEEE international conference on robotics and biomimetics (ROBIO) (pp. 1691–1696).

  • Ribeiro, A. M., et al. (2020). Model-based approach for cornering stiffness and yaw moment of inertia estimation of a scaled electric vehicle. Congresso Brasileiro De Automática-CBA, 2, 1.

    Google Scholar 

  • Rosolia, U., et al. (2016). Autonomous vehicle control: A nonconvex approach for obstacle avoidance. IEEE Transactions on Control Systems Technology, 25(2), 469–484.

    Article  Google Scholar 

  • Son, C. W., & Ahn, C. (2015). Vehicle backward driving control with obstacle avoidance. In Control, automation and systems (ICCAS) (pp. 1771–1774).

  • Sun, C., et al. (2021). Dimensionless model-based system tracking via augmented Kalman filter for multiscale unmanned ground vehicles. IEEE/ASME Transactions on Mechatronics, 26(2), 600–610.

    Article  Google Scholar 

  • Travis, W. E., et al. (2004). Using scaled vehicles to investigate the influence of various properties on rollover propensity. American Control Conference, 4, 3381–3386.

    Google Scholar 

  • Verma, R., et al. (2008). Development of a scaled vehicle with longitudinal dynamics of an HMMWV for an ITS testbed. IEEE/ASME Transactions on Mechatronics, 13(1), 46–57.

    Article  Google Scholar 

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Acknowledgements

This research was supported by the National Research Foundation of Korea funded by the Ministry of Science and ICT (no. NRF-2022R1A2C1004894)

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Correspondence to Changsun Ahn.

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Park, Y., Ahn, C. Dimensional Analysis of Ground Vehicle in Extreme Maneuver Scenarios. Int.J Automot. Technol. (2024). https://doi.org/10.1007/s12239-024-00067-x

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