Analysis of vehicle rollover dynamics using a high-fidelity model

Czechowicz, Maciej Pawel; Mavros, George

doi:10.1080/00423114.2013.863362

Cited by 23 publications

(10 citation statements)

References 11 publications

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“…Some references have also suggested revised forms of this static RI that include suspension effects. 1,[3][4][5] The other suggested static RIs such as Side Pull Ratio and Tilt Table Ratio 1,6 are obtained from the experiments and are very close to the SSF. In order to have more accurate rollover indicators for dynamic situations, different dynamic RIs are also proposed that include vehicle states.…”

Section: Introductionsupporting

confidence: 57%

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

Ataei

Khajepour

Jeon

2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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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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Section: Introductionsupporting

confidence: 57%

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

Ataei

Khajepour

Jeon

2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…Though SSF gives a strong correlation with real world rollover, there are other factors responsible such as vehicle handling, loading, tyre properties and suspension kinematics. 40,41 Nevertheless, the key kinematic and compliance characteristics affecting rollover propensity are the front and rear suspension rates, front roll stiffness, front camber gain, front and rear camber compliances, and rear jacking force. 40 In addition to these, the dynamic behaviour is also affected by the CG location, weight split across wheels, and the driver’s performance.…”

Section: Methods To Check Rollover Propensitymentioning

confidence: 99%

“…The NHTSA recommended that tests like the fishhook, lane change and constant turning radius manoeuvres are performed to evaluate the rollover propensity of any vehicle. 21,23,41 These tests are equally applicable to 3Ws and have been used by many authors to demonstrate rollover resistance and manoeuvrability improvement with their proposed active tilt control systems in both simulations and experiments. 26,27,[42][43][44][45][46][47]…”

Section: Methods Adopted For Testing Tilt-controlled Vehiclesmentioning

confidence: 99%

Automatic stability control of three-wheeler vehicles – recent developments and concerns towards a sustainable technology

Sindha

Chakraborty

Chakravarty

2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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Traffic congestion, pollution due to vehicular emissions and fuel energy crises are the major problems that have inspired research for the design of efficient and smaller vehicles as a regular mode of transport with a significantly lower carbon footprint. With an increased dependency on certain countries for fuel energy, electric mobility has been encouraged by policy makers so that national interests are not compromised. At the same time, enhanced standards of living have resulted in a demand for safer and comfortable transport. All of these factors have led to a need for a mode of transport that is efficient, compact, safe and comfortable. Electric three-wheelers are seen as one of the promising options that fits all of these requirements. Due to their high propensity to rollover during cornering, however, the use of three-wheeled vehicles (3Ws) is limited to low-speed applications for cheap transport. Recent developments in the field of rollover mitigation through active tilt control mechanisms indicate that the future mode of transport will be more exciting than the existing one. This paper is a review mainly focused on the recent technological developments in active-tilt-controlled three-wheeled vehicles. This paper gives a detailed review of the methodologies chosen, control strategies adopted, types of vehicle chosen for test/simulation, mathematical models applied, key findings and future work proposed to address the dynamics-related issues of tilting 3Ws.

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“…Multi-body dynamics equations (14) and (15) are sparsely coupled differential algebraic equations (DAEs). To solve the DAEs, the first job is to convert the algebraic equations into ordinary differential equations (ODEs).…”

Section: Modeling Of Full Vehiclementioning

confidence: 99%

Rollover threshold investigation of a heavy-duty vehicle during cornering based on multi-body dynamics

Dong

Jiang

Zhong

et al. 2018

Advances in Mechanical Engineering

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The objective of this article is to investigate the rollover threshold of a heavy-duty vehicle during cornering. Based on the multi-body dynamics theory, a high-fidelity model is established, which takes account of the chassis flexibility, the suspension nonlinear characteristics, the tire handling model, and Ackermann steering strategy. Furthermore, by the inverse fast Fourier transform method, a three-dimensional stochastic road in space domain is employed in the model to improve the accuracy. A full-size heavy-duty vehicle test was carried out to validate the model. Based on the validated model, the rollover stability and rollover threshold of the heavy-duty vehicle during cornering are investigated. Lateral acceleration, yaw rate, roll angle, and vehicle torsional deflection in different cornering conditions are analyzed. The rollover threshold is summarized by the response surface methodology for the safe cornering purpose. The result shows the practical meaning of improving transportation safety of heavy-duty vehicles and also provides useful insights for developing the rollover warning system.

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Analysis of vehicle rollover dynamics using a high-fidelity model

Cited by 23 publications

References 11 publications

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

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

Automatic stability control of three-wheeler vehicles – recent developments and concerns towards a sustainable technology

Rollover threshold investigation of a heavy-duty vehicle during cornering based on multi-body dynamics

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