A Pull Drift Compensation Strategy for Heavy Commercial Vehicles with Electric Power Steering Assistance

Vehicle driving wandering is a common failure mode that affects the performance of vehicles. Due to the greater mass and higher center of gravity of commercial vehicles compared to passenger cars, pull drift not only increases driver fatigue but also increases the risk of rollover. Therefore, designing an effective compensation plan for commercial vehicle pull drift is an important and challenging issue. In this paper, based on the pull drift mechanism of heavy commercial vehicles, we propose an electric power steering pull drift compensation strategy for heavy commercial vehicles. Through three stages of functional scene recognition, compensation torque calculation, and compensation torque output, it can directly generate the torque demand for the steering system motor. Simulation experiments show that this method can accurately and quickly recognize pull drift scenarios and effectively reduce vehicle lateral error and roll angle.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/irac63143.2024.10871746
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
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article

A Pull Drift Compensation Strategy for Heavy Commercial Vehicles with Electric Power Steering Assistance

Xiao Li, Jiaxin He, Yuhui Hu, Xinyi Dong
Vehicle Dynamics and Control Systems
article

A Pull Drift Compensation Strategy for Heavy Commercial Vehicles with Electric Power Steering Assistance

Xiao Li, Jiaxin He, Yuhui Hu, Xinyi Dong
article en

Abstract

Vehicle driving wandering is a common failure mode that affects the performance of vehicles. Due to the greater mass and higher center of gravity of commercial vehicles compared to passenger cars, pull drift not only increases driver fatigue but also increases the risk of rollover. Therefore, designing an effective compensation plan for commercial vehicle pull drift is an important and challenging issue. In this paper, based on the pull drift mechanism of heavy commercial vehicles, we propose an electric power steering pull drift compensation strategy for heavy commercial vehicles. Through three stages of functional scene recognition, compensation torque calculation, and compensation torque output, it can directly generate the torque demand for the steering system motor. Simulation experiments show that this method can accurately and quickly recognize pull drift scenarios and effectively reduce vehicle lateral error and roll angle.

Beijing Institute of Technology (CN)
Openalex Percentile: Top 70%
Vehicle Dynamics and Control Systems
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