Journal of South China University of Technology(Natural Science) >

2025 , Vol. 53 >Issue 6: 44 - 55

DOI: https://doi.org/10.12141/j.issn.1000-565X.240330

Vehicle Engineering

Design of Acceleration Slip Regulation Multi-Mode Control Strategy of Distributed Drive Electric Vehicle

  • ZHU Shaopeng ,
  • MAO Jingyang ,
  • LIU Dongqing ,
  • YIN Yuming ,
  • CHEN Huipeng ,
  • XU Yekai
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  • 1.Power Machinery & Vehicle Engineering Institute，Zhejiang University，Hangzhou 310027，Zhejiang，China
    2.Jiaxing Research Institute，Zhejiang University，Jiaxing 314011，Zhejiang，China
    3.CRSC Research & Design Institute Group;Co. ，Ltd. ，Beijing 100070，China
    4.College of Mechanical Engineering，Zhejiang University of Technology，Hangzhou 310023，Zhejiang，China
    5.School of Mechanical Engineering，Hangzhou Dianzi University，Hangzhou 310018，Zhejiang，China

Received date: 2024-06-26

  Online published: 2024-09-25

Supported by

the National Key Research and Development Program of China(2022YFB2502400)

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Abstract

Distributed drive electric vehicles can independently and accurately control the driving torque of each wheel to achieve acceleration slip regulation control. However, a single traction control strategy often fails to meet the requirements of diverse and complex driving conditions and cannot ensure optimal overall driving performance. To address this limitation, this study proposed a multi-mode traction control strategy that is responsive, precise, and adaptable to various complex driving scenarios. Firstly, to meet performance requirements under varying driving conditions, a set of driving modes and mode-switching strategies was developed based on a seven-degree-of-freedom distributed drive vehicle model. Secondly, using the adhesion characteristic curves of six standard road surfaces derived from the Burckhardt tire model, an optimized linear interpolation algorithm was applied to propose a road surface recognition fusion algorithm. This algorithm computes the optimal slip ratio, which serves as the control target for a nonlinearly tuned PID controller designed to manage power distribution and mode switching. Finally, a CarSim vehicle model and an acceleration slip regulation control model in Matlab/Simulink were established and co-simulation verification was conducted on low adhesion road, joint road, bisectional road, low adhesion slope, and bisectional slope. Simulation results show that the road surface recognition strategy can accurately identify the adhesion coefficient of the road, the acceleration slip regulation control strategy can quickly respond and accurately switch between different modes under different working conditions, balancing dynamics performance and stability performance, and effectively improve acceleration slip regulation performance.

Key words： distributed drive; electric vehicle; acceleration slip regulation; multi-mode control; road surface recognition

Cite this article

ZHU Shaopeng , MAO Jingyang , LIU Dongqing , YIN Yuming , CHEN Huipeng , XU Yekai . Design of Acceleration Slip Regulation Multi-Mode Control Strategy of Distributed Drive Electric Vehicle[J]. Journal of South China University of Technology(Natural Science), 2025 , 53(6) : 44 -55 . DOI: 10.12141/j.issn.1000-565X.240330

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