Testing & validating ADAS & AV smart functions expose significant challenges to the automotive industry. The required tests increased drastically, making it infeasible to accomplish all by physical tests, requiring relying on virtual tests (simulations). Not enough, it is also a challenge to define all the required test cases (scenarios), requiring new approaches for test case creation. For the industry to rely on virtual testing & validation, the simulation results require accuracy and should match physical test results with high confidence. This can only be accomplished using detailed simulation models for environment, sensors, controllers & test vehicle dynamics. These increased fidelities of simulation models increase the required compute capacities. Adding the massive amounts of scenarios to be simulated creates significant demand for computational resources. To simulate all these scenarios with the necessary fidelity at an acceptable time can only be accomplished by running all the simulations in parallel. This paper will focus on increasing the fidelity of vehicle dynamics model by using industry standard Adams Car together in a co-simulation with Virtual Test Drive (VTD). It allows to simulate high accurate vehicle dynamics model response based on road conditions and drive control systems. Adams car improves engineering efficiency and reduces product development costs by enabling early system-level design validation while VTD is used to create, configure, and animate virtual environments. VTD Scale, VTD’s cloud-based solution, allows the run of large-scaled parametric variations of the Adams car model, such as tyre configurations and vehicle loading with varying road conditions. Cloud-based-co-simulation between Adams car – VTD helps classify different vehicle behaviors to rate the drive performance control that might include detection of edge case situations where drive control will cause the car to skid. This co-simulation will be necessary for demonstration of high-fidelity vehicle dynamics model for doing these kinds of investigations.
Reference | NWC21-134-c |
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Author | Schlenkrich. M |
Language | English |
Type | Presentation Recording |
Date | 27th October 2021 |
Organisation | MSC |
Region | Global |
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