Coupled 6DoF Motion and Aerodynamic Crosswind Simulation Incorporating Driver Model

Paper #:
  • 2017-01-1525

Published:
  • 2017-03-28
Abstract:
Because of rising demands to improve aerodynamic performance owing to its impact on vehicle dynamics, efforts were previously made to reduce aerodynamic lift and yawing moment based on steady-state measurements of aerodynamic forces and computational fluid dynamics (CFD) simulations. In recent years, increased research on dynamic aerodynamics has partially explicated the impact of aerodynamic forces on vehicle dynamics. However, it is difficult to measure aerodynamic forces while a vehicle is in motion, and also analyzing the effect on vehicle dynamics requires measurement of vehicle behavior, movement, amount of steering and other quantities noiselessly, as well as an explication of the mutual influence with aerodynamic forces. Consequently, the related phenomena occurring in the real world are still not fully understood. Reproducing vehicle motion in the real world requires the ability to recreate disturbances from the driving environment, including natural wind and road surface undulations, and to predict the dynamic aerodynamics resulting from the driver’s operations such as accelerating, decelerating, steering and other actions. This study, therefore, focused on a crosswind situation which involves relatively large changes in vehicle behavior induced by air pressure inputs to the vehicle. A fully coupled numerical simulation method was developed for performing aerodynamic calculations using a vehicle motion model with six degrees of freedom and incorporating a driver model for keeping the vehicle in its driving lane. It will be noted that a large eddy simulation (LES) was used in predicting aerodynamic forces and the Arbitrary Lagrangian Eulerian (ALE) method was used in reflecting the vehicle motion. The results obtained with this calculation system revealed that aerodynamic parts reduced the amount of corrective steering needed, which coincided with the experimental data. It led to the visualization of the aerodynamic phenomena assumed to be the causal factors.
Also in:
  • SAE International Journal of Passenger Cars - Mechanical Systems - V126-6
  • SAE International Journal of Passenger Cars - Mechanical Systems - V126-6EJ
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