Parameter Autotuning and Optimization for Automotive
Re-creating hazardous scenarios in a virtual environment entails defining highly specific simulation parameters. Traffic objects and environmental conditions must be specified, and parameters like initial speed or distance between objects must be assigned concrete values. Without a method to intelligently zero in on the right variables and parameter values for modeling a scenario, engineering teams will invest budget-taxing hours, dollars and computing resources on simulation.
In this webinar, we will explore a smart, strategic approach for the automatic assignment of parameter values, so only relevant variables are used in simulation. Ansys optiSLang applies advanced algorithms and numerical capabilities for optimization, uncertainty quantification, robustness evaluation, scenario variation and sensitivity analysis. With Ansys SCADE and Ansys VRXPERIENCE Driving Simulator powered by SCANeR™, the parameters can be integrated with model-based embedded software and simulation that considers all driving scenarios and physics in a closed-loop environment. Using this approach, engineering teams can quickly and affordably identify the root causes of even the most sophisticated functional limitations.