{"id":27428,"date":"2021-06-07T06:00:04","date_gmt":"2021-06-07T10:00:04","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/simcenter\/?p=27428"},"modified":"2026-03-26T06:45:03","modified_gmt":"2026-03-26T10:45:03","slug":"electric-vehicle-tire-nvh-solving-the-supplier-oem-puzzle","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/simcenter\/electric-vehicle-tire-nvh-solving-the-supplier-oem-puzzle\/","title":{"rendered":"Electric vehicle tire NVH: Solving the supplier-OEM puzzle"},"content":{"rendered":"\n

This blog post was co-written with Domenico Minervini, associate research engineer, and Jie Zhang, research engineer, <\/strong><\/em>at Simcenter Engineering. <\/strong><\/em><\/p>\n\n\n\n

Imagine working on a 1,000-piece jigsaw puzzle.  <\/p>\n\n\n\n

If you\u2019re anything like me, you spent the better part of COVID lockdowns working on a countless number of puzzles (and then panicking when you finished one because what in the world were you supposed to do with your time now???).    <\/p>\n\n\n\n

\"OEMs<\/figure>\n\n\n\n

Just as you\u2019re about to finish, you realize that the last piece is from a different puzzle. You can try to force it in, you can try rearranging the other pieces to accommodate it, but the plain fact is that this piece was not designed to fit into your puzzle. It is one piece of a different, equally complex puzzle. In this other puzzle, your misfit piece would fit perfectly. But in yours, it does not fit at all because it was not designed with your puzzle in mind.  <\/p>\n\n\n\n

Disconnect between OEMs and tire suppliers <\/h2>\n\n\n\n

In automotive engineering, OEMs and their tire suppliers rely heavily on their Computer-Aided Simulation (CAE) models to predict performance of both overall vehicle systems and individual components. However, OEMs designed their models to fit in with OEM simulations, and tire suppliers designed theirs to fit with tire supplier simulations. These models are not suitable for direct integration due to their very nature.  <\/p>\n\n\n\n

OEMs use full-vehicle models that rely on lightweight, frequency-based tire descriptions. Conversely, tire suppliers need high fidelity time-domain simulation models in order to gain a comprehensive understanding of each tire\u2019s unique properties, dynamics, and performance predictions.  <\/p>\n\n\n\n

The full exchange of models between the two parties is also difficult due to the confidential nature of simulation models.  <\/p>\n\n\n\n

However, the needs of tire manufacturers and of OEMs are directly connected. Both need to achieve accurate prediction of vehicle performance. Both parties have a stake in ensuring that the end user has a pleasant driving experience. Finally, both need to make sure that even though they are working on different puzzles, their pieces can still fit seamlessly and allow engineers to gain full insight into both part and system behavior. <\/p>\n\n\n\n

Complexity of tire NVH modeling <\/h2>\n\n\n\n
\"Modeling<\/figure>\n\n\n\n

In addition to integration issues with their OEMs, tire suppliers also face a challenge due to the nature of a tire itself. The tire is a complex system to describe and simulate for several reasons:  <\/p>\n\n\n\n