Road noise prediction an MBSE approach to virtual NVH development

In this on-demand webinar, Siemens experts discuss the complex process of tackling road noise in vehicle development, particularly in increased electrification. The presentation delves into the technical approaches to predict road noise, including model-based substructuring and using Siemens Simcenter software for virtual NVH prediction. It highlights the importance of accurate road noise estimation in electric vehicles due to the lack of masking by engine noise and the need for a process that allows NVH prediction for a virtually assembled vehicle at different stages of development.

• Electrification has made road noise more prominent in vehicles due to quieter electric motors.
• The virtual NVH prediction process allows for reliable and fast vehicle assemblies, reducing the need for physical prototypes.
• Advanced technologies like FBS decoupling and invariant loads are crucial for creating accurate virtual models for NVH prediction.