Road noise prediction – an MBSE approach to virtual NVH development

, 10am Stuttgart | 2:30pm Mumbai | 4am Detroit
DataNoise Vibration and HarshnessSoftwareTesting and ValidationVehicle Dynamics

Katleen Michiels, Team Manager Simcenter Engineering, Siemens Digital Industries Software | LinkedIn

Sangyoung Park, Senior Research Engineer, Hyundai Motor Group | LinkedIn

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Road noise is the most dominant noise source in almost all driving conditions of an electric vehicle. What if you could improve vehicle comfort by predicting the NVH performance of a virtually assembled vehicle at any stage during development?

In this 60-minute webinar, Katleen Michiels from Siemens Simcenter and Sangyoung Park from Hyundai Motor Group will explain how to use a test-data-driven MBSE approach to accurately predict road noise, focusing on the vehicle body, suspension, and tire.

Key topics and takeaways:

  • Use advanced road noise prediction technologies to represent the tire, suspension, and body
  • Virtually predict NVH performance using a model-based substructuring approach
  • Develop a roadmap for building a digital twin of road noise refinement in HMG

Meet the experts

Katleen Michiels

Team Manager Simcenter Engineering, Siemens Digital Industries Software

Sangyoung Park

Senior Research Engineer, Hyundai Motor Group