A Double Interaction Brush Model for Snow Conditions

Kusachov, Artem; Bruzelius, Fredrik; Hjort, Mattias; Jacobson, Bengt J H

doi:10.2346/tire.18.460404

Cited by 2 publications

(1 citation statement)

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“…The simulator cabin is mounted on a movable platform through which the system provides the driver with motion feedback. The vehicle behaviour is mapped to platform movement using a motion cueing algorithm (Kusachov, 2016). Further details of the simulator, the software and the vehicle dynamics model are described in (Bruzelius et al, 2013;Jansson et al, 2014;Obialero, 2013).…”

Section: Driving Simulator and Vehicle Modelmentioning

confidence: 99%

Prediction of Drivers’ Subjective Evaluation of Vehicle Reaction Under Aerodynamic Excitations

et al. 2023

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Objective The objectives are to determine which quantities are important to measure to determine how drivers perceive vehicle stability, and to develop a regression model to predict which induced external disturbances drivers are able to feel. Background Driver experience of a vehicle’s dynamic performance is important to auto manufacturers. Test engineers and test drivers perform several on-road assessments to evaluate the vehicle’s dynamic performance before sign-off for production. The presence of external disturbances such as aerodynamic forces and moments play a significant role in the overall vehicle assessment. As a result, it is important to understand the relation between the subjective experience of the drivers and these external disturbances acting on the vehicle. Method A sequence of external yaw and roll moment disturbances of varying amplitudes and frequencies is added to a straight-line high-speed stability simulation test in a driving simulator. The tests are performed with both common and professional test drivers, and their evaluations to these external disturbances are recorded. The sampled data from these tests are used to generate the needed regression model. Results A model is derived for predicting which disturbances drivers can feel. It quantifies difference in sensitivity between driver types and between yaw and roll disturbances. Conclusion The model shows a relationship between steering input and driver sensitivity to external disturbances in a straight-line drive. Drivers are more sensitive to yaw disturbance than roll disturbance and increased steering input lowers sensitivity. Application Identify the threshold above which unexpected disturbances such as aerodynamic excitations can potentially create unstable vehicle behaviour.

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Section: Driving Simulator and Vehicle Modelmentioning

confidence: 99%