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Adaptive anti-slip wheel-speed synchronisation control for hill drive of distributed-drive electric vehicles

Shuaishuai Ge et al.

International Journal of Vehicle Design: journal of vehicle engineering, automotive technology and components2025https://doi.org/10.1504/ijvd.2025.148166article
ABDC B
Weight
0.50

Abstract

Distributed-drive electric vehicles (DDEVs) are prone to wheel slippage when driven on low-friction slopes, particularly when their centre of gravity changes. This study proposes an anti-slip wheel-speed synchronisation control for ramps based on adaptive drive-torque redistribution (ASWSSC-RADTR) to address this issue. A dynamic model including the chassis and motor drive system is developed using Amesim and MATLAB/Simulink to study the dynamic characteristics of DDEVs during acceleration, startup, and straight-line driving. The performance of the ASWSSC-R-ADTR is compared with that of other control strategies in terms of longitudinal slip and acceleration on various slopes. Furthermore, the anti-interference and anti-slip capabilities of ASWSSC-R-ADTR are evaluated for sudden changes in the vehicle centre of mass. The results demonstrate that ASWSSC-R-ADTR effectively addresses excessive wheel slippage and exhibits excellent robustness.

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https://doi.org/https://doi.org/10.1504/ijvd.2025.148166

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@article{shuaishuai2025,
  title        = {{Adaptive anti-slip wheel-speed synchronisation control for hill drive of distributed-drive electric vehicles}},
  author       = {Shuaishuai Ge et al.},
  journal      = {International Journal of Vehicle Design: journal of vehicle engineering, automotive technology and components},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijvd.2025.148166},
}

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Adaptive anti-slip wheel-speed synchronisation control for hill drive of distributed-drive electric vehicles

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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