To engineer a vehicle with outstanding driving characteristics, a large variety of safety and vehicle handling factors haves to be considered, such as drivability, stability, agility and control. On top of that, these factors have to be combined with targets for achieving a high level of ride comfort, low road noise levels and a lightweight structure.
But how to set body targets for handling performance on body or full vehicle level?
Do traditional simulation and test approaches suffice?
Unfortunately not. The problem is two-fold:
No digital twin (yet)
Sure, 3D simulation tools are being used for target setting. But in reality, simulation results for body rigidity are significantly lower than real test observations on the track. Consequently, they are inadequate to rely on for target setting. A real digital twin to help setting full vehicle targets does not (yet) exist.
The failure of classic test approaches
Also classic test approaches fail to give sufficient insights in the vehicle’s dynamic behavior in relation to body rigidity. With the acquired test data collected in low-response scenarios, this offers limited reliability. And only part of the subjective driver perception can be linked to objective measurements.
This makes it particularly difficult for automotive OEMs to define or evaluate full vehicle targets. Deploying a body target setting process for handling performance requires objective quantification of body rigidity design changes on body and vehicle level. What you need is an innovative approach that uses simulation models to enhance test acquired results. As a result, manufacturers are able to go beyond traditional approaches and objectively characterize on full vehicle level.
Check out this video on how to go beyond classic vehicle dynamic testing approaches and enable full vehicle objective characterization: