Siemens Digital Industries Software has added system NVH prediction, a new Simcenter software application capable of predicting the interior and exterior Noise, Vibration and Harshness (NVH) performance of a vehicle before a physical prototyping begins.
Siemens says that NVH works for any type of vehicle: hybrid, fully electric or internal combustion engine (ICE).
The new Simcenter application helps engineers front load full vehicle NVH analysis and detect potential component NVH performance issues earlier by using measured and simulated component models to build a virtual prototype assembly.
While electrification means that powertrains are increasingly quieter than ICE units, they no longer mask noise sources such as tires or auxiliaries including HVAC systems and wipers. Meanwhile, the need for greater numbers of variants means that building physical prototypes for every variant within a reasonable timeframe and budget is impossible.
Simcenter aims to offer a systems-engineering approach to enable the rapid creation of multiple vehicle variants. System-level component models based on test and/or simulation data are created by NVH experts and published to a library.
These take advantage of the latest technology, such as component-based transfer path analysis which allows engineers to characterize the NVH sources independently from the final receiver, to ensure that they are validated, scalable and reliable.
Validated components can then be rapidly assembled by non-NVH experts to represent a new variant and performance assessment can begin, reducing set-up times to a matter of minutes.
By enabling non experts to conduct performance prediction studies, it facilitates NVH performance assessments to be carried out at all stages of vehicle development.
“Test and simulation teams need to work closely to ensure quality in the face of a shortened development cycle and reduced budgets for multiple physical prototypes,” said Patrick Corbeels, product manager, Siemens Digital Industries Software.
“Our new NVH prediction tools democratize access to this technology by allowing expert created libraries to be used efficiently by anyone that needs them, saving time and reducing bottlenecks in the test and simulation process.”