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Decoupling Control of Yaw Stability of Distributed Drive Electric Vehicles

World Electric Vehicle Journal, ISSN: 2032-6653, Vol: 15, Issue: 2
2024
  • 1
    Citations
  • 0
    Usage
  • 1
    Captures
  • 2
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    1
    • Citation Indexes
      1
  • Captures
    1
  • Mentions
    2
    • Blog Mentions
      1
      • 1
    • News Mentions
      1
      • 1

Most Recent Blog

WEVJ, Vol. 15, Pages 65: Decoupling Control of Yaw Stability of Distributed Drive Electric Vehicles

WEVJ, Vol. 15, Pages 65: Decoupling Control of Yaw Stability of Distributed Drive Electric Vehicles World Electric Vehicle Journal doi: 10.3390/wevj15020065 Authors: Weijun Wang Zefeng

Most Recent News

Researcher at School of Mechanical and Electrical Engineering Has Published New Data on Electric Vehicles (Decoupling Control of Yaw Stability of Distributed Drive Electric Vehicles)

2024 FEB 01 (NewsRx) -- By a News Reporter-Staff News Editor at Transportation Daily News -- A new study on electric vehicles is now available.

Article Description

Most of the research on driving stability control of distributed drive electric vehicles is based on a yaw motion design controller. The designed controller can improve the lateral stability of the vehicle well but rarely mentions its changes to the roll and pitch motion of the body, and the uneven distribution of the driving force will also cause instability in the vehicle speed, resulting in wheel transition slip, wheel sideslip, and vehicle stability loss. In order to improve the spatial stability of distributed-driven electric vehicles and resolve the control instability caused by their motion coupling, a decoupled control strategy of yaw, roll, and pitch motion based on multi-objective constraints was proposed. The strategy adopts hierarchical control logic. At the upper level, a yaw motion controller based on robust model predictive control, a roll motion controller, and a pitch motion controller based on feedback optimal control are designed. In the lower level, through the motion coupling analysis of the vehicle yaw control process, based on the coupling analysis, the vehicle yaw, roll, and pitch decoupling controller based on multi-objective constraints is designed. Finally, the effectiveness of the decoupling controller is verified.

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