Study on Rollover Index and Stability for a Triaxle Bus

This paper presents a novel mass-center-position (MCP) metric for vehicle rollover propensity detection. MCP is first determined by estimating the positions of the center of mass of one sprung mass and two unsprung masses with two switchable roll motion models, before and after tire lift-off. The roll motion information without saturation can then be provided through MCP continuously. Moreover, to detect completed rollover statues for both tripped and untripped rollovers, the criteria are derived from d’Alembert principle and moment balance conditions based on MCP. In addition to tire lift-off, three new rollover statues, rollover threshold, rollover occurrence, and vehicle jumping into air can be all identified by the proposed criteria. Compared with an existing rollover index, lateral load transfer ratio, the fishhook maneuver simulation results in CarSim® for an E-class SUV show that MCP metric can successfully predict the vehicle impending rollover without saturation for untripped rollovers. Tripped rollovers caused by a triangle road bump are also successfully detected in the simulation. Thus, MCP metric can be successfully applied for rollover propensity prediction.

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Predictive Rollover Index Based on Frontal Road Geometry and On-Line Driver Information

2013 IEEE International Conference on Systems, Man, and Cybernetics ◽

10.1109/smc.2013.704 ◽

2013 ◽

Cited By ~ 1

Author(s):

Liang-kuang Chen ◽

Jian-min Huang

Keyword(s):

Road Geometry ◽

On Line ◽

Rollover Index ◽

Line Driver

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Rollover Index for the Diagnosis of Tripped and Untripped Rollovers

Latin American Journal of Solids and Structures ◽

10.1590/1679-78253576 ◽

2017 ◽

Vol 14 (11) ◽

pp. 1979-1999

Author(s):

Amir Hossein Kazemian ◽

Majid Fooladi ◽

Hossein Darijani

Keyword(s):

Rollover Index

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Active roll control for rollover prevention of heavy articulated vehicles with multiple-rollover-index minimisation

Vehicle System Dynamics ◽

10.1080/00423114.2011.597863 ◽

2012 ◽

Vol 50 (3) ◽

pp. 471-493 ◽

Cited By ~ 24

Author(s):

Hsun-Hsuan Huang ◽

Rama K. Yedavalli ◽

Dennis A. Guenther

Keyword(s):

Roll Control ◽

Rollover Prevention ◽

Articulated Vehicles ◽

Active Roll Control ◽

Rollover Index

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A general rollover index for tripped and un-tripped rollovers on flat and sloped roads

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering ◽

10.1177/0954407017743345 ◽

2017 ◽

Vol 233 (2) ◽

pp. 304-316 ◽

Cited By ~ 8

Author(s):

Mansour Ataei ◽

Amir Khajepour ◽

Soo Jeon

Keyword(s):

Sensitivity Analysis ◽

Load Transfer ◽

Soft Soil ◽

High Fidelity ◽

State Variables ◽

Reliable Index ◽

Analysis And Design ◽

Rollover Prevention ◽

Prevention System ◽

Rollover Index

In order to develop a rollover prevention system, it is essential to have a reliable index that properly indicates real-time rollover danger during vehicle maneuvers. The existing rollover indices are mainly for un-tripped rollovers and have limitations in detecting tripped rollovers. This study introduces a general rollover index (GRI) for the detection of rollover in both tripped and un-tripped cases and also on flat and sloped roads. Based on the lateral load transfer ratio, the proposed index is analytically derived in terms of measurable vehicle parameters and state variables. The general rollover index considers both lateral and vertical road inputs and thus can indicate tripped rollovers in the instance of curbs, soft soil or bumps. Sensitivity analysis for the proposed index is also provided to evaluate the effects of different vehicle parameters and different state variables on tripped and un-tripped rollovers. The introduced index can be used not only for the development of active rollover prevention systems, but also for rollover analysis and design of vehicles. The performance of the introduced general rollover index is validated through simulations using a high-fidelity CarSim model for a SUV.

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New rollover index for detection of tripped and un-tripped rollovers

IEEE Conference on Decision and Control and European Control Conference ◽

10.1109/cdc.2011.6160823 ◽

2011 ◽

Cited By ~ 4

Author(s):

G. Phanomchoeng ◽

R. Rajamani

Keyword(s):

Rollover Index

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Rollover Index for Rollover Mitigation Function of Intelligent Commercial Vehicle’s Electronic Stability Control

Electronics ◽

10.3390/electronics10212605 ◽

2021 ◽

Vol 10 (21) ◽

pp. 2605

Author(s):

Donghoon Shin ◽

Seunghoon Woo ◽

Manbok Park

Keyword(s):

Estimation Method ◽

Stability Control ◽

Dynamic State ◽

Electronic Stability Control ◽

Simulation Studies ◽

Limited Information ◽

Parameter Uncertainties ◽

Bank Angle ◽

The Road ◽

Rollover Index

This paper describes a rollover index for detection or prediction of impending rollover in different driving situations using minimum sensor signals which can be easily obtained from an electronic stability control (ESC) system. The estimated lateral load transfer ratio (LTR) was used as a rollover index with only limited information such as the roll state of the vehicle and some constant parameters. A commercial vehicle has parameter uncertainties because of its load variation. This is likely to affect the driving performance and the estimation of the dynamic state of the vehicle. The main purpose of this paper is to determine the rollover index based on reliable measurements and the parameters of the vehicle. For this purpose, a simplified lateral and vertical vehicle dynamic model was used with some assumptions. The index is appropriate for various situations although the vehicle parameters may change. As part of the index, the road bank angle was investigated in this study, using limited information. Since the vehicle roll dynamics are affected by the road bank angle, the road bank angle should be incorporated, although previous studies ignore this factor in order to simplify the problem. Because it increases or reduces the chances of rollover, consideration of the road bank angle is indispensable in the rollover detection and mitigation function of the ESC system. The performance of the proposed algorithm was investigated via computer simulation studies. The simulation studies showed that the proposed estimation method of the LTR and road bank angle with limited sensor information followed the actual LTR value, reducing the parameter uncertainties. The simulation model was constructed based on a heavy bus (12 tons).

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