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Simulation Research on an Electric Vehicle Chassis System Based on a Collaborative Control System

Author

Listed:
  • Jiankun Peng

    (National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China)

  • Hongwen He

    (National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China)

  • Nenglian Feng

    (College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100124, China)

Abstract

This paper presents a collaborative control system for an electric vehicle chassis based on a centralized and hierarchical control architecture. The centralized controller was designed for the suspension and steering system, which is used for improving ride comfort and handling stability; the hierarchical controller was designed for the braking system, which is used for distributing the proportion of hydraulic braking and regenerative braking to improve braking performance. These two sub-controllers function at the same level of the vehicle chassis control system. In order to reduce the potential conflict between the two sub-controllers and realize a coordination optimization of electric vehicle performance, a collaborative controller was built, which serves as the upper controller to carry out an overall coordination analysis according to vehicle signals and revises the decisions of sub-controllers. A simulation experiment was carried out with the MATLAB/Simulink software. The simulation results show that the proposed collaborative control system can achieve an optimized vehicle handling stability and braking safety.

Suggested Citation

  • Jiankun Peng & Hongwen He & Nenglian Feng, 2013. "Simulation Research on an Electric Vehicle Chassis System Based on a Collaborative Control System," Energies, MDPI, vol. 6(1), pages 1-17, January.
    • Handle: RePEc:gam:jeners:v:6:y:2013:i:1:p:312-328:d:22797
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    Citations

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    Cited by:

    1. Hongwen He & Jiankun Peng & Rui Xiong & Hao Fan, 2014. "An Acceleration Slip Regulation Strategy for Four-Wheel Drive Electric Vehicles Based on Sliding Mode Control," Energies, MDPI, vol. 7(6), pages 1-16, June.
    2. Lin Zhao & Shaobo Lu & Bohan Zhang, 2019. "Game-Based Hierarchical Cooperative Control for Electric Vehicle Lateral Stability via Active Four-Wheel Steering and Direct Yaw-Moment Control," Energies, MDPI, vol. 12(17), pages 1-21, August.
    3. Jinhong Sun & Xiangdang Xue & Ka Wai Eric Cheng, 2019. "Fuzzy Sliding Mode Wheel Slip Ratio Control for Smart Vehicle Anti-Lock Braking System," Energies, MDPI, vol. 12(13), pages 1-22, June.
    4. Yu, Wei & Wang, Ruochen, 2019. "Development and performance evaluation of a comprehensive automotive energy recovery system with a refined energy management strategy," Energy, Elsevier, vol. 189(C).
    5. Zepeng Gao & Sizhong Chen & Yuzhuang Zhao & Jinrui Nan, 2018. "Height Adjustment of Vehicles Based on a Static Equilibrium Position State Observation Algorithm," Energies, MDPI, vol. 11(2), pages 1-26, February.

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