Using comprehensive vehicle models and driver models you can recreate your physical test procedures in simulation allowing them to become repeatable and enabling even small changes in performance to be measured.

Using LiDAR survey data of a proving ground you can recreate the road surface in rFpro Terrain Server or using open standards like OpenCRG and OpenDRIVE.  The virtual vehicle can then be driven over the digital twin to understand all the forces and torques acting on the vehicle.

Using multi-domain vehicle models we can investigate the interaction between the various vehicle systems to understand how the mechanical, cooling, electrical and control systems all respond during your test procedures.  This can all be done before physical prototypes are available for testing.

Use simulation with a real test driver on a workstation or in a full motion driving simulator to close the gap between the simulation and real world testing.  Simulation with a driver model makes a test 100% repeatable but a human driver is sensitive to many things that we don’t often have metrics for.

To virtualise proving ground tests so that they can replace physical testing usually requires a high fidelity model of the road surface which in turn requires a tire model suited to high frequency and short wavelength excitation.  FTire, from Cosin Scientific, provides such a capability and is supported through an interface in VeSyMA – Suspensions allowing high frequency road inputs to be fed through into the MultiBody suspension model

To effectively virtualise proving ground tests you also need to be able to quickly post process results from multiple simulations.  The Multirun tool can be used to run multiple simulations in parallel and compare results to a reference set to quickly identify changes. The Python interface can also be used to run and analyse simulation results.