• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2019, Vol. 55 ›› Issue (22): 60-79.doi: 10.3901/JME.2019.22.060

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Review on State Perception and Control for Distributed Drive Electric Vehicles

XU Kun1, LUO Yuanyuan2, YANG Ying2, XU Guoqing2   

  1. 1. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055;
    2. School of Mechanics Engineering and Automation, Shanghai University, Shanghai 200444
  • Received:2019-08-31 Revised:2019-10-07 Online:2019-11-20 Published:2020-02-29

Abstract: With the advantages of fast torque response, all-wheel independent control and braking energy recovering, the distributed drive electric vehicles (DDEVs) can significantly enhance vehicle's safety, handling, stability and energy saving. However, it needs to deal with the challenges, e.g., the over-actuated system complexity, nonlinear coupling, tire-road contact nonlinearity and uncertainty, which requires advanced state estimation and control technology. This paper surveys the recent research progress of DDEVs from the perspectives of control and state perception respectively. The state perception of DDEVs provides accurate, reliable and fast motion state feedback signals to the control system, which, however, needs to consider the limited bandwidth of traditional methods, and the unknown complex road surface. The control system improves the safety, efficiency and other motion performances via multi-objective optimization. However, it still faces the challenges involving coupling interference, multi heterogeneous actuation coordination, complex and uncertain adhesion conditions, online real-time optimization and field testing. Future research on state perception may further take advantage of the accurate and high bandwidth measurement of electromechanical signals, and use the multi-sensor information of intelligent vehicles. Exploring new multi-objective methods to use fast distributed torque and regenerative braking under complex and uncertain conditions is the research trend of advanced control system for DDEVs.

Key words: distributed drive, control allocation, state estimation, electric vehicles

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