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 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