Stability control of distributed-drive electric vehicles considering hub motor response discrepancies

To mitigate vehicle instability phenomena, including runaway, understeer, and oversteer, in distributed-drive vehicles caused by variations in hub motor response, this study proposes a hierarchical control architecture for vehicle stability. The hierarchical strategy integrates an upper-level controller that implements an additional yaw torque controller based on model predictive control (MPC). This controller calculates the required supplementary yaw torque in real time to track the desired yaw rate and center-of-mass sideslip angle. The lower-level controller optimizes wheel torque distribution by minimizing the tyre load ratio. A co-simulation model is developed using Simulink and CarSim, and typical driving scenarios, including straight-line driving and single-lane changes, are employed for validation. The results indicate that the hierarchical control strategy effectively compensates for hub motor response discrepancies and enhances vehicle driving stability.

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Publication Details

Journal
IET conference proceedings.
Published
2025-12-01
DOI
https://doi.org/10.1049/icp.2025.3446
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Stability control of distributed-drive electric vehicles considering hub motor response discrepancies

Hao Jin, Chenhao Zhao, Shuai Wu, Sheng Lai
IET conference proceedings.
Vehicle Dynamics and Control Systems
article

Stability control of distributed-drive electric vehicles considering hub motor response discrepancies

Hao Jin, Chenhao Zhao, Shuai Wu, Sheng Lai
article en

Abstract

To mitigate vehicle instability phenomena, including runaway, understeer, and oversteer, in distributed-drive vehicles caused by variations in hub motor response, this study proposes a hierarchical control architecture for vehicle stability. The hierarchical strategy integrates an upper-level controller that implements an additional yaw torque controller based on model predictive control (MPC). This controller calculates the required supplementary yaw torque in real time to track the desired yaw rate and center-of-mass sideslip angle. The lower-level controller optimizes wheel torque distribution by minimizing the tyre load ratio. A co-simulation model is developed using Simulink and CarSim, and typical driving scenarios, including straight-line driving and single-lane changes, are employed for validation. The results indicate that the hierarchical control strategy effectively compensates for hub motor response discrepancies and enhances vehicle driving stability.

IET conference proceedings.Vol. 2025(35)
Yibin University (CN)
Openalex Percentile: Top 56%
Vehicle Dynamics and Control Systems
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Stability control of distributed-drive electric vehicles considering hub motor response discrepancies — Hao Jin, Chenhao Zhao, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS