Adaptive Second-Order Sliding Mode Wheel Slip Control for Electric Vehicles with In-Wheel Motors

The influence of the external environment can reduce the braking performance of the electric vehicle (EV) with in-wheel motors (IWM). In this paper, an adaptive sliding mode wheel slip control method with a vehicle speed observer consideration is proposed, which enables the EV to accurately track the optimal slip ratio in various environments and improve braking performance. First, the braking system dynamics model is established by taking the EV with IWM as the study object. Second, a super-twisting sliding mode observer is used to estimate the vehicle speed, and a new adaptive second-order sliding mode controller is constructed to control the braking torque. Finally, co-simulation experiments are performed under different conditions based on Carsim and MATLAB/Simulink, and the proposed scheme is validated by comparison with three control methods. The experimental results show that the proposed scheme has better control performance, and both the safety and control quality of the EV is improved.

Authors

Institutions

Publication Details

Journal
World Electric Vehicle Journal
Published
2024-11-20
DOI
https://doi.org/10.3390/wevj15110538
Citations
2
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.41

Funders

Controls
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article

Adaptive Second-Order Sliding Mode Wheel Slip Control for Electric Vehicles with In-Wheel Motors

Jingtian Bi, Mingdong Hou, Changshun Wang, Yaozhen Han
2 citations
World Electric Vehicle Journal
Vehicle Dynamics and Control Systems
0.41
article

Adaptive Second-Order Sliding Mode Wheel Slip Control for Electric Vehicles with In-Wheel Motors

Jingtian Bi, Mingdong Hou, Changshun Wang, Yaozhen Han
article en
2 citations

Abstract

The influence of the external environment can reduce the braking performance of the electric vehicle (EV) with in-wheel motors (IWM). In this paper, an adaptive sliding mode wheel slip control method with a vehicle speed observer consideration is proposed, which enables the EV to accurately track the optimal slip ratio in various environments and improve braking performance. First, the braking system dynamics model is established by taking the EV with IWM as the study object. Second, a super-twisting sliding mode observer is used to estimate the vehicle speed, and a new adaptive second-order sliding mode controller is constructed to control the braking torque. Finally, co-simulation experiments are performed under different conditions based on Carsim and MATLAB/Simulink, and the proposed scheme is validated by comparison with three control methods. The experimental results show that the proposed scheme has better control performance, and both the safety and control quality of the EV is improved.

World Electric Vehicle JournalVol. 15(11)
Shandong Jiaotong University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Affordable and clean energy
Openalex Percentile: Top 38%
Vehicle Dynamics and Control Systems
0.41
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Adaptive Second-Order Sliding Mode Wheel Slip Control for Electric Vehicles with In-Wheel Motors — Jingtian Bi, Mingdong Hou, et al. · World Electric Vehicle Journal (2024) | TGRS Research Map | TGRS