Michelin develops digital twin for tire monitoring
Michelin has developed a digital twin, a virtual model of a tire, that does not require sensors inside the tire. The solution uses existing sensors in the vehicle to collect data.
French tire manufacturer Michelin has introduced its new digital twin technology, enabling predictive tire monitoring without the need for dedicated sensors within the tires themselves. The solution leverages the vehicle's existing sensors, combining their data with Michelin's expertise and over a decade of collected data on tire behavior.
The digital twin is a virtual representation of a tire's performance throughout its operational life. It is continuously updated with real-time data gathered from the vehicle's sensors. Michelin's new technology is stated to enhance safety, performance, and the driving experience by predicting tire wear and optimizing tire function. The company believes that connected tires are a crucial element of future mobility.
According to Michelin, the solution operates across all tire and vehicle brands and does not require internal tire sensors. This makes it an integrated and user-friendly solution for modern, software-defined vehicles. The company emphasizes its goal to transform tires into an intelligent vehicle component capable of interpreting road conditions with greater accuracy.
The technology's core features include predictive maintenance solutions, such as monitoring tire wear and pressure, along with end-of-life predictions based on wear. Future expansions of the solution will encompass load measurement and grip assessment, including the detection of hydroplaning risks. Michelin plans to continue investing in the digital twin to introduce further functionalities to the market.