Authors

Yan Ma, Jian Chen, Junmin Wang, Deepak Narang

Abstract

This paper designs a novel collaborative control approach, including the longitudinal and lateral motion control, to guarantee the vehicle stability by the estimated vehicle states of electric vehicles. A nonlinear observer is developed to observe the lateral velocity and tire-road friction coefficient by a Dugoff’s tire model. Moreover, a Lyapunov-based method is utilized to prove that the estimated errors converge to zero. The collaborative control is converted into a tracking problem by establishing a reference model. According to the estimated vehicle states and reference model, a passivity-based control strategy based on the port-Hamiltonian model is adopted to follow the referenced vehicle states and ensure the stable planar motions, and the asymptotic stability of the proposed controller is proved. In addition, a wheel torque distribution considering the transfer of vertical loads is designed to maximize the utilization of tire adhesive forces. Finally, simulation cases demonstrate the effectiveness of the designed nonlinear observer and controller.

Citation

  • Journal: 2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)
  • Year: 2020
  • Volume:
  • Issue:
  • Pages: 771–776
  • Publisher: IEEE
  • DOI: 10.1109/cvci51460.2020.9338442

BibTeX

@inproceedings{Ma_2020,
  title={{Collaborative Control with Nonlinear Observer for the Stability of Electric Vehicles}},
  DOI={10.1109/cvci51460.2020.9338442},
  booktitle={{2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)}},
  publisher={IEEE},
  author={Ma, Yan and Chen, Jian and Wang, Junmin and Narang, Deepak},
  year={2020},
  pages={771--776}
}

Download the bib file

References

  • Kanghyun Nam, Fujimoto, H. & Hori, Y. Lateral Stability Control of In-Wheel-Motor-Driven Electric Vehicles Based on Sideslip Angle Estimation Using Lateral Tire Force Sensors. IEEE Trans. Veh. Technol. 61, 1972–1985 (2012) – 10.1109/tvt.2012.2191627
  • Ding, S., Liu, L. & Zheng, W. X. Sliding Mode Direct Yaw-Moment Control Design for In-Wheel Electric Vehicles. IEEE Trans. Ind. Electron. 64, 6752–6762 (2017) – 10.1109/tie.2017.2682024
  • Rajamani, R. Vehicle Dynamics and Control. Mechanical Engineering Series (Springer US, 2012). doi:10.1007/978-1-4614-1433-9 – 10.1007/978-1-4614-1433-9
  • yu, Nonlinear observer for longitudinal and lateral velocities of vehicles based on the estimation of longitudinal tire forces. Proc Amer Control Conf (2016)
  • khalil, Nonlinear Systems (2001)
  • Ortega, R., van der Schaft, A., Castanos, F. & Astolfi, A. Control by Interconnection and Standard Passivity-Based Control of Port-Hamiltonian Systems. IEEE Trans. Automat. Contr. 53, 2527–2542 (2008) – 10.1109/tac.2008.2006930
  • Ortega, R. & García-Canseco, E. Interconnection and Damping Assignment Passivity-Based Control: A Survey. European Journal of Control 10, 432–450 (2004) – 10.3166/ejc.10.432-450
  • Ma, Y., Chen, J., Zhu, X. & Xu, Y. Lateral stability integrated with energy efficiency control for electric vehicles. Mechanical Systems and Signal Processing 127, 1–15 (2019) – 10.1016/j.ymssp.2019.02.057
  • Numerical Optimization. Springer Series in Operations Research and Financial Engineering (Springer-Verlag, 1999). doi:10.1007/b98874 – 10.1007/b98874
  • Huang, X. & Wang, J. Real-Time Estimation of Center of Gravity Position for Lightweight Vehicles Using Combined AKF–EKF Method. IEEE Trans. Veh. Technol. 63, 4221–4231 (2014) – 10.1109/tvt.2014.2312195
  • Tanelli, M., Ferrara, A. & Giani, P. Combined vehicle velocity and tire-road friction estimation via sliding mode observers. 2012 IEEE International Conference on Control Applications 130–135 (2012) doi:10.1109/cca.2012.6402454 – 10.1109/cca.2012.6402454
  • Yim, S., Kim, S. & Yun, H. Coordinated control with electronic stability control and active front steering using the optimum yaw moment distribution under a lateral force constraint on the active front steering. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 230, 581–592 (2015) – 10.1177/0954407015590037
  • Ren, B., Chen, H., Zhao, H. & Yuan, L. MPC-based yaw stability control in in-wheel-motored EV via active front steering and motor torque distribution. Mechatronics 38, 103–114 (2016) – 10.1016/j.mechatronics.2015.10.002
  • Chen, J., Yu, J., Zhang, K. & Ma, Y. Control of regenerative braking systems for four-wheel-independently-actuated electric vehicles. Mechatronics 50, 394–401 (2018) – 10.1016/j.mechatronics.2017.06.005
  • Zhai, L., Sun, T. & Wang, J. Electronic Stability Control Based on Motor Driving and Braking Torque Distribution for a Four In-Wheel Motor Drive Electric Vehicle. IEEE Trans. Veh. Technol. 65, 4726–4739 (2016) – 10.1109/tvt.2016.2526663
  • Peng, Y., Chen, J. & Ma, Y. Observer-based estimation of velocity and tire-road friction coefficient for vehicle control systems. Nonlinear Dyn 96, 363–387 (2019) – 10.1007/s11071-019-04794-0
  • Zhou, H., Jia, F., Jing, H., Liu, Z. & Guvenc, L. Coordinated Longitudinal and Lateral Motion Control for Four Wheel Independent Motor-Drive Electric Vehicle. IEEE Trans. Veh. Technol. 67, 3782–3790 (2018) – 10.1109/tvt.2018.2816936
  • Chen, Y. & Wang, J. Adaptive Vehicle Speed Control With Input Injections for Longitudinal Motion Independent Road Frictional Condition Estimation. IEEE Trans. Veh. Technol. 60, 839–848 (2011) – 10.1109/tvt.2011.2106811