Comprehensive Simulation and Experimental Validation of Sliding Mode Control-Based Spacing Control for Battery Electric Vehicles Under Uncertain Environments

Abstract One-pedal driving (OPD) can help battery electric vehicles (BEVs) improve energy efficiency and driving comfort with enhanced regenerative braking. Furthermore, vehicle platooning can also improve energy efficiency and thus extend the BEV driving range, through the reduction of aerodynamic drag coefficients of platoon members. The spacing control to achieve short inter-vehicular distance in platooning is rather challenging due to the change of aerodynamic drag coefficient and other environmental factors (e.g., rolling resistance and road grade). Thus, this article presents a robust sliding mode control (SMC)-based inter-vehicle distance control framework for an OPD-enabled BEV to accurately achieve the desired inter-vehicle distance in vehicle platooning applications, in the presence of uncertainties such as aerodynamic drag coefficient, road grade, and rolling resistance coefficient. The control framework contains an SMC spacing controller and a high-gain input observer for estimating the lead vehicle's acceleration. The framework is validated by both simulations on a high-fidelity BEV model with the OPD feature and field tests. In addition, a novel method is proposed to analyze the robustness of the controller by adjusting the parameters in the control law, without altering the testing environments. The efficacy of the proposed control framework and the analysis method are proved.

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Publication Details

Journal
Journal of Autonomous Vehicles and Systems
Published
2025-09-22
DOI
https://doi.org/10.1115/1.4069920
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
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article

Comprehensive Simulation and Experimental Validation of Sliding Mode Control-Based Spacing Control for Battery Electric Vehicles Under Uncertain Environments

Shuainan Yang, Maxavier Lamantia, Zifei Su, Pingen Chen
Journal of Autonomous Vehicles and Systems
Vehicle Dynamics and Control Systems
article

Comprehensive Simulation and Experimental Validation of Sliding Mode Control-Based Spacing Control for Battery Electric Vehicles Under Uncertain Environments

Shuainan Yang, Maxavier Lamantia, Zifei Su, Pingen Chen
article en

Abstract

Abstract One-pedal driving (OPD) can help battery electric vehicles (BEVs) improve energy efficiency and driving comfort with enhanced regenerative braking. Furthermore, vehicle platooning can also improve energy efficiency and thus extend the BEV driving range, through the reduction of aerodynamic drag coefficients of platoon members. The spacing control to achieve short inter-vehicular distance in platooning is rather challenging due to the change of aerodynamic drag coefficient and other environmental factors (e.g., rolling resistance and road grade). Thus, this article presents a robust sliding mode control (SMC)-based inter-vehicle distance control framework for an OPD-enabled BEV to accurately achieve the desired inter-vehicle distance in vehicle platooning applications, in the presence of uncertainties such as aerodynamic drag coefficient, road grade, and rolling resistance coefficient. The control framework contains an SMC spacing controller and a high-gain input observer for estimating the lead vehicle's acceleration. The framework is validated by both simulations on a high-fidelity BEV model with the OPD feature and field tests. In addition, a novel method is proposed to analyze the robustness of the controller by adjusting the parameters in the control law, without altering the testing environments. The efficacy of the proposed control framework and the analysis method are proved.

Journal of Autonomous Vehicles and SystemsVol. 5(4)
Jones College (US), Dougherty Foundation (US), Tennessee Technological University (US), University of Tennessee at Knoxville (US)
Openalex Percentile: Top 72%
Vehicle Dynamics and Control Systems
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Comprehensive Simulation and Experimental Validation of Sliding Mode Control-Based Spacing Control for Battery Electric Vehicles Under Uncertain Environments — Shuainan Yang, Maxavier Lamantia, et al. · Journal of Autonomous Vehicles and Systems (2025) | TGRS Research Map | TGRS