3-Dimensional Simulation of Vehicle Response to Tire Blow-outs

Blythe, William; Day, Terry D.; Grimes, Wesley D.

doi:10.4271/980221

Cited by 46 publications

(31 citation statements)

References 2 publications

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“…In Figure 1(a), the flat tire is locked after braking, although the level of braking is not high. The tire characteristic changes and transient nature are coincident with the experimental data in the literature, 2–4 implying that the simulation is believable. Moreover, as shown in Figure 2, the flat tire results in a yaw moment on the vehicle, and both yaw angle and lateral distance keep increasing after the tire blow-out.…”

Section: Vehicle Dynamics Analysis and Modelingsupporting

confidence: 77%

Gain-scheduling robust control for a tire-blow-out road vehicle

Jing

Liu

2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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This paper presents a robust control approach to keeping directional and driving stability for a road vehicle after a tire blow-out. Considering the time-varying vehicle velocity as well as the uncertain tire characteristics, a linear parameter varying vehicle model is built. With front wheel steering angle and yaw control moment as control inputs, a gain-scheduling H∞ controller is developed to attenuate the effects of a flat tire. An optimal control allocation law is presented to perform the yaw control moment by differential braking on the other three tires. Finally, a hardware-in-the-loop testing system, composed of the veDYNA high-fidelity software program and an actual automotive hydraulic braking system, is utilized for controller validation. The results clearly demonstrate the effectiveness of the proposed coordinated controller in improving vehicle directional stability and robustness against the disturbances caused by a tire blow-out.

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Section: Vehicle Dynamics Analysis and Modelingsupporting

confidence: 77%

Gain-scheduling robust control for a tire-blow-out road vehicle

Jing

Liu

2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…Many have studied and modelled the motion of cars and trucks at tyre blow-out, e.g. [4] and [5]. Few have studied the variety in behaviour among different drivers at tyre blowout.…”

Section: Introductionmentioning

confidence: 99%

Driver response at tyre blow-out in heavy vehicles & the importance of scrub radius

Tagesson

Jacobson

Laine

2014

2014 IEEE Intelligent Vehicles Symposium Proceedings

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Front tyre blow-outs lead to several fatal accidents involving heavy vehicles. Common for most heavy vehicles is a positive scrub radius. This can result in a destabilising steering wheel torque at front tyre blow-out. In this study the safety improvement achieved when reducing scrub radius is quantified. By using a heavy truck equipped with a modified electric power steering system it was possible to change the scrub radius virtually. Brakes were configured to emulate front tyre blow-out which appeared as a sudden disturbance on one of the front tyres. In total 20 drivers took part in the study which was run on a test track at 50 km/h. Results show that the produced average lateral deviation from the original direction was 23 cm, when scrub radius was 12 cm, compared to 16 cm, when scrub radius was 0 cm. The main cause of the observed difference was a small, yet significant, initial overshoot in steering wheel angle which can be derived from the destabilising steering wheel torque.

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“…Hankey claimed that the steering response was 0.3 s faster than the braking response as cited in [30]. Another study with a tyre blow-out test resulted in a steering reaction time of only 0.5 s. [37] This low value might have been caused by the sound of the tyre explosion kit that was used, the full alertness of the test person and the fact that humans react faster to audible signals. Secondly, the test was not statistically sound.…”

Section: Reaction Timementioning

confidence: 96%

Fault classification method for the driving safety of electrified vehicles

Wanner

Drugge

Trigell

2014

Vehicle System Dynamics

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A fault classification method is proposed which has been applied to an electric vehicle. Potential faults in the different subsystems that can affect the vehicle directional stability were collected in a failure mode and effect analysis. Similar driveline faults were grouped together if they resembled each other with respect to their influence on the vehicle dynamic behaviour. The faults were physically modelled in a simulation environment before they were induced in a detailed vehicle model under normal driving conditions. A special focus was placed on faults in the driveline of electric vehicles employing in-wheel motors of the permanent magnet type. Several failures caused by mechanical and other faults were analysed as well. The fault classification method consists of a controllability ranking developed according to the functional safety standard ISO 26262. The controllability of a fault was determined with three parameters covering the influence of the longitudinal, lateral and yaw motion of the vehicle. The simulation results were analysed and the faults were classified according to their controllability using the proposed method. It was shown that the controllability decreased specifically with increasing lateral acceleration and increasing speed. The results for the electric driveline faults show that this trend cannot be generalised for all the faults, as the controllability deteriorated for some faults during manoeuvres with low lateral acceleration and low speed. The proposed method is generic and can be applied to various other types of road vehicles and faults.

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3-Dimensional Simulation of Vehicle Response to Tire Blow-outs

Cited by 46 publications

References 2 publications

Gain-scheduling robust control for a tire-blow-out road vehicle

Gain-scheduling robust control for a tire-blow-out road vehicle

Driver response at tyre blow-out in heavy vehicles & the importance of scrub radius

Fault classification method for the driving safety of electrified vehicles

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3-Dimensional Simulation of Vehicle Response to Tire Blow-outs

Cited by 46 publications

References 2 publications

Gain-scheduling robust control for a tire-blow-out road vehicle

Gain-scheduling robust control for a tire-blow-out road vehicle

Driver response at tyre blow-out in heavy vehicles &amp; the importance of scrub radius

Fault classification method for the driving safety of electrified vehicles

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Product

Resources

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Driver response at tyre blow-out in heavy vehicles & the importance of scrub radius