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access icon free Cooperative chassis control system of electric vehicles for agility and stability improvements

This study describes a cooperative chassis control system that controls longitudinal motion in accordance with the yaw movement for electric vehicles. This system can be used to improve vehicle agility and stability using the integration of torque distribution unit and electronic stability control (ESC). Moreover, this system can assist drivers smoothly navigate through a curve before ESC intervention. The structure of the proposed control system is fundamentally a model following controller, thereby making the vehicle follow the desired instantaneous handling characteristics by regulating the feedforward of the cornering stiffness, state feedback of longitudinal acceleration, and front and rear drive ratios. Experiments are performed to demonstrate the effectiveness of the proposed control system. The maximum steering angle during cornering is confirmed to be significantly reduced with proper deceleration/acceleration control and adjustment of the drive torques of the front and rear axles. Moreover, trajectory tracking can be significantly improved. The proposed control strategy can be used to assist intelligent vehicles to plan a reasonable trajectory, thereby enabling these vehicles to safely and rapidly pass corners or avoid obstacles while ensuring safety.

References

    1. 1)
      • 15. Zhang, C., Xia, Q.A., Le, H.: ‘A study on the influence of sideslip angle at mass center on vehicle stability’, Automot. Eng., 2011, 35, (4), pp. 277282.
    2. 2)
      • 12. Takahashi, J., Yamakado, M., Saito, S.: ‘Evaluation of preview G-vectoring control to decelerate a vehicle prior to entry into a curve’, Int. J. Automot. Technol., 2013, 14, (6), pp. 921926.
    3. 3)
      • 5. Hu, C., Wang, R., Yan, F., et al: ‘Differential steering based yaw stabilization using ISMC for independently actuated EVs’, IEEE Trans. Intell. Transp. Syst., 2018, 19, (2), pp. 627638.
    4. 4)
      • 10. Cho, W., Choi, J., Kim, C., et al: ‘Unified chassis control for the improvement of agility, maneuverability, and lateral stability’, IEEE Trans. Veh. Technol., 2012, 61, (3), pp. 10081020.
    5. 5)
      • 20. Zhang, R.H., He, Z.C., Wang, H.W., et al: ‘Study on self-tuning tyre friction control for developing main-servo loop integrated chassis control system’, IEEE Access., 2017, 5, pp. 66496660.
    6. 6)
      • 6. 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., 2016, 65, (6), pp. 47264739.
    7. 7)
      • 1. Griffin, J.W.: ‘Influences of drive torque distribution on road vehicle handling and efficiency’. PhD thesis, University of Nottingham, 2015.
    8. 8)
      • 17. Huang, Y., Khajepour, A., Zhu, T., et al: ‘A supervisory energy-saving controller for a novel anti-idling system of service vehicles’, IEEE/ASME Trans. Mechatronics, 2017, 22, (2), pp. 10371046.
    9. 9)
      • 3. Huang, Y., Wang, H., Khajepour, A., et al: ‘A review of component sizing and power management strategy of hybrid vehicles’, Renew. Sustain. Energy Rev., 2018, 96, pp. 132144.
    10. 10)
      • 18. Yamakado, M., Takahashi, J., Saito, S., et al: ‘Improvement in vehicle agility and stability by G-vectoring control’, Veh. Syst. Dyn., 2010, 48, (S1), pp. 231254.
    11. 11)
      • 11. Yamakado, M., Abe, M.: ‘An experimentally confirmed driver longitudinal acceleration control model combined with vehicle lateral motion’, Veh. Syst. Dyn., 2008, 46, (S1), pp. 129149.
    12. 12)
      • 13. Zhang, X., Xu, Y., Pan, M., et al: ‘A vehicle ABS adaptive sliding-mode control algorithm based on the vehicle velocity estimation and tyre/road friction coefficient estimations’, Veh. Syst. Dyn., 2014, 52, (4), pp. 475503.
    13. 13)
      • 2. Lu, S.B., Li, Y.N., Choi, S.B., et al: ‘Integrated control on MR vehicle suspension system associated with braking and steering control’, Veh. Syst. Dyn., 2011, 49, (1–2), pp. 361380.
    14. 14)
      • 14. Mousavinejad, E., Han, Q.L., Yang, F., et al: ‘Integrated control of ground vehicles dynamics via advanced terminal sliding mode control’, Veh. Syst. Dyn., 2017, 55, (2), pp. 268294.
    15. 15)
      • 4. Ono, E., Hattori, Y., Muragishi, Y., et al: ‘Vehicle dynamics integrated control for four-wheel-distributed steering and four-wheel-distributed traction/braking systems’, Veh. Syst. Dyn., 2006, 44, (2), pp. 139151.
    16. 16)
      • 19. Takahashi, J., Yamakado, M., Saito, S., et al: ‘A hybrid stability-control system: combining direct-yaw-moment control and G-vectoring control’, Veh. Syst. Dyn., 2012, 50, (6), pp. 847859.
    17. 17)
      • 7. Qin, Y., He, C., Shao, X., et al: ‘Vibration mitigation for in-wheel switched reluctance motor driven electric vehicle with dynamic vibration absorbing structures’, J. Sound Vib., 2018, 419, pp. 249267.
    18. 18)
      • 16. Manning, W.J., Crolla, D.A.: ‘A review of yaw rate and sideslip controllers for passenger vehicles’, Trans. Inst. Meas. Control, 2007, 29, (2), pp. 117135.
    19. 19)
      • 9. Wang, R., Hu, C., Wang, Z., et al: ‘Integrated optimal dynamics control of 4WD4WS electric ground vehicle with tire-road frictional coefficient estimation’, Mech. Syst. Signal Process., 2015, 60, pp. 727741.
    20. 20)
      • 8. Zhao, H., Gao, B., Ren, B., et al: ‘Integrated control of in-wheel motor electric vehicles using a triple-step nonlinear method’, J. Franklin Inst., 2015, 352, (2), pp. 519540.
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