Capability-Based Hierarchical Fault-Tolerant Control Scheme for Four-Wheel-Independent-Drive Electric Vehicles Under Actuator Faults

For four-wheel-independent-drive electric vehicles (4WID-EVs), the increasing number of actuators and electronic components raises the risk of actuator failure for the vehicle, potentially threatening driving safety. When actuator faults occur, the faulty actuator introduces disturbances to the vehicle system, making the coordinated control of actuators under fault conditions more difficult. To solve this problem, a capability-based hierarchical fault-tolerant control (FTC) scheme is proposed for 4WID-EVs. Firstly, the vehicle dynamics model under fault conditions is established. Secondly, in the upper layer of the control scheme, a nonsingular fast terminal sliding mode controller with nonlinear disturbance observer (NDOB) is designed to track the reference vehicle states under the impact of disturbances. In the lower layer, the driving capability and steering capability of faulty vehicles are assessed. Subsequently, a capability-based fault-tolerant coordinated distribution approach using fuzzy logic is introduced to dynamically distribute control commands to actuators. Finally, comparative works are conducted through both simulation and experiment. The results demonstrate that, compared with the sliding mode FTC scheme, the proposed scheme reduces RMSE, reflecting an improvement in tracking accuracy by 75% in simulation and 18.6% in experiment. The proposed scheme may serve as a theoretical reference for fault-tolerant control in 4WID-EVs.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-03-24
DOI
https://doi.org/10.1109/tvt.2025.3553633
Citations
1
Primary Topic
Industrial Technology and Control Systems
Type
article
Field-Weighted Citation Impact
1.21

Funders

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article

Capability-Based Hierarchical Fault-Tolerant Control Scheme for Four-Wheel-Independent-Drive Electric Vehicles Under Actuator Faults

Chao Yang, Hongcai Li, Weida Wang, Shouwen Yao et al.
1 citations
IEEE Transactions on Vehicular Technology
Industrial Technology and Control Systems
1.21
article

Capability-Based Hierarchical Fault-Tolerant Control Scheme for Four-Wheel-Independent-Drive Electric Vehicles Under Actuator Faults

Chao Yang, Hongcai Li, Weida Wang, Shouwen Yao, Yuhang Zhang, Hui Liu, Renfei Sun
article en
1 citations

Abstract

For four-wheel-independent-drive electric vehicles (4WID-EVs), the increasing number of actuators and electronic components raises the risk of actuator failure for the vehicle, potentially threatening driving safety. When actuator faults occur, the faulty actuator introduces disturbances to the vehicle system, making the coordinated control of actuators under fault conditions more difficult. To solve this problem, a capability-based hierarchical fault-tolerant control (FTC) scheme is proposed for 4WID-EVs. Firstly, the vehicle dynamics model under fault conditions is established. Secondly, in the upper layer of the control scheme, a nonsingular fast terminal sliding mode controller with nonlinear disturbance observer (NDOB) is designed to track the reference vehicle states under the impact of disturbances. In the lower layer, the driving capability and steering capability of faulty vehicles are assessed. Subsequently, a capability-based fault-tolerant coordinated distribution approach using fuzzy logic is introduced to dynamically distribute control commands to actuators. Finally, comparative works are conducted through both simulation and experiment. The results demonstrate that, compared with the sliding mode FTC scheme, the proposed scheme reduces RMSE, reflecting an improvement in tracking accuracy by 75% in simulation and 18.6% in experiment. The proposed scheme may serve as a theoretical reference for fault-tolerant control in 4WID-EVs.

IEEE Transactions on Vehicular TechnologyVol. 74(8)
Beijing Institute of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 24%
Industrial Technology and Control Systems
1.21
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