Purpose Rollover of tractor semi-trailer vehicles is a common type of lateral instability that can cause serious accidents resulting in loss of life and property. To design an effective early warning and anti-roll control system, it is crucial to determine the Dynamic Roll Early Warning and Control Thresholds (DREWCTs). This article proposes a method for determining the DREWCTs of tractor semi-trailer vehicles based on a dynamic model and the Early Warning and Control Threshold of Load Transfer Ratio (LTREWCT). Methods A full dynamics model of a tractor semi-trailer vehicle is presented, and established using the Multi-body System Dynamics Analysis Method and the Newton–Euler equations. The model has been previously verified and includes 3D data for the maximum of load transfer ratio (LTR) and lateral acceleration of the vehicle bodies (ay1, ay2). Based on this data, a method for determining the DREWCTs is proposed and defined. For each proposed LTREWCT value, specific warning and control thresholds will be determined. Results The DREWCTs are determined based on the proposed value of LTREWCT. For an LTREWCT value of 0.6, the DREWCTs for the tractor and semi-trailer range from 2.894 to 3.068 m/s2 and 2.902 to 2.988 m/s2, respectively. If the LTREWCT value is 0.7, the DREWCTs for the tractor and semi-trailer range from 3.325 to 3.410 m/s2 and 3.303 to 3.381 m/s2, respectively. For an LTREWCT value of 0.8, the DREWCTs for the tractor and semi-trailer range from 3.685 to 3.829 m/s2 and 3.662 to 3.740 m/s2, respectively. Conclusions The article introduces a method for determining DREWCTs using the full dynamics model and LTREWCT. The results of this method correspond to specific LTREWCT values. This approach allows for the determination of warning and control thresholds tailored to the response capability of the system. Future articles will discuss the implementation of early warning and control systems based on these results.

Multibody System Dynamics Analysis Method Approach to Determine Dynamic Roll Early Warning and Control Thresholds of Tractor Semi-Trailer Vehicles

期刊论文
发表日期：

2025年1月22日

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Ta Tuan Hung,
Duong Ngoc Khanh

摘要

Purpose

Rollover of tractor semi-trailer vehicles is a common type of lateral instability that can cause serious accidents resulting in loss of life and property. To design an effective early warning and anti-roll control system, it is crucial to determine the Dynamic Roll Early Warning and Control Thresholds (DREWCTs). This article proposes a method for determining the DREWCTs of tractor semi-trailer vehicles based on a dynamic model and the Early Warning and Control Threshold of Load Transfer Ratio (LTR_EWCT).

Methods

A full dynamics model of a tractor semi-trailer vehicle is presented, and established using the Multi-body System Dynamics Analysis Method and the Newton–Euler equations. The model has been previously verified and includes 3D data for the maximum of load transfer ratio (LTR) and lateral acceleration of the vehicle bodies (a_y1, a_y2). Based on this data, a method for determining the DREWCTs is proposed and defined. For each proposed LTR_EWCT value, specific warning and control thresholds will be determined.

Results

The DREWCTs are determined based on the proposed value of LTR_EWCT. For an LTR_EWCT value of 0.6, the DREWCTs for the tractor and semi-trailer range from 2.894 to 3.068 m/s² and 2.902 to 2.988 m/s², respectively. If the LTR_EWCT value is 0.7, the DREWCTs for the tractor and semi-trailer range from 3.325 to 3.410 m/s² and 3.303 to 3.381 m/s², respectively. For an LTR_EWCT value of 0.8, the DREWCTs for the tractor and semi-trailer range from 3.685 to 3.829 m/s² and 3.662 to 3.740 m/s², respectively.

Conclusions

The article introduces a method for determining DREWCTs using the full dynamics model and LTR_EWCT. The results of this method correspond to specific LTR_EWCT values. This approach allows for the determination of warning and control thresholds tailored to the response capability of the system. Future articles will discuss the implementation of early warning and control systems based on these results.