Big data analysis in the context of smart tire development
In the last decade, we have witnessed a clear trend of shifting from ICE vehicles to EVs, forcing the tire industry to accelerate innovation, develop better tires and consider new means of tracking a tire's performance throughout its lifetime. As new sensing technology is added to tires, engineering teams must now deal with more data to analyze, especially signals from various sensors. This presentation aims to introduce a few concepts related to how engineers can use FEA data for product performance and algorithm development at the same time.