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Lateral Stability Control of Four-Wheel Independent Drive Electric Vehicles Based on Model Predictive Control

Author

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  • Bin Huang
  • Sen Wu
  • Song Huang
  • Xiang Fu

Abstract

Four-wheel independent drive electric vehicle was used as the research object to discuss the lateral stability control algorithm, thus improving vehicle stability under limit conditions. After establishing hierarchical integrated control structure, we designed the yaw moment decision controller based on model predictive control (MPC) theory. Meanwhile, the wheel torque was assigned by minimizing the sum of consumption rates of adhesion coefficients of four tires according to the tire friction ellipse theory. The integrated simulation platform of Carsim and Simulink was established for simulation verification of yaw/rollover stability control algorithm. Then, we finished road experiment verification of real vehicle by integrated control algorithm. The result showed that this control method can achieve the expectation of effective vehicle tracking, significantly improving the lateral stability of vehicle.

Suggested Citation

  • Bin Huang & Sen Wu & Song Huang & Xiang Fu, 2018. "Lateral Stability Control of Four-Wheel Independent Drive Electric Vehicles Based on Model Predictive Control," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-15, February.
    • Handle: RePEc:hin:jnlmpe:6080763
    DOI: 10.1155/2018/6080763
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    Cited by:

    1. Miranda, Matheus H.R. & Silva, Fabrício L. & Lourenço, Maria A.M. & Eckert, Jony J. & Silva, Ludmila C.A., 2022. "Electric vehicle powertrain and fuzzy controller optimization using a planar dynamics simulation based on a real-world driving cycle," Energy, Elsevier, vol. 238(PC).

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