Driver subjective feedback study during crosswind gusts on driving simulator for high speed straight line driving
Publicerad
Författare
Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Program
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
The passenger vehicle industry develops aerodynamic designs that have low drag to
improve vehicle efficiency at high speeds. The low drag aerodynamic design affects
crosswind stability during straight line driving, this is crucial for passengers and other
road user safety.
The thesis work subjectively evaluates vehicle high-speed stability under crosswind
gusts on VI grade DIM 250 moving platform 6 DOF driving simulator. The simulator
allowed testing the high speed response of a high-fidelity vehicle model with groups of
drivers in a controlled virtual environment. Initial CAE work focuses on the complexity
of SUV vehicle models and the implementation of crosswind gusts in the desktop CAE
simulation and driving simulator, coupling between aerodynamics and vehicle dynamics.
Stochastic crosswind gust tests were designed on Matlab & Simulink and implemented
on CarRealTime vehicle dynamics model on the driving simulator that simulated the
change in aerodynamic flow conditions and resulting vehicle aerodynamic forces and
moments.
Driving clinic is conducted to find the correlation between driver subjective feedback
and vehicle’s objective metric response. The vehicle crosswind sensitivity is evaluated
using a developed proxy measure. Finally, through statistical tests the study found
that the subjective instability feeling is triggered by the vehicle change in lateral and
centripetal accelerations response amongst the experienced driver and steering torque
demand for common drivers during straight line driving at high speeds under aerodynamic crosswind gusts. The implementation of crosswind gusts on driving simulator is
evaluated subjectively.
Beskrivning
Ämne/nyckelord
aerodynamics, crosswinds, high Speed, driver-in-loop, correlation, objective metrics, subjective assessment, driver sensitivity