Michelin Unveils Tire Digital Twin for Real-Time Predictive Maintenance
20%
130+
2026
What Happened
Michelin has developed a digital twin for tires that leverages real-time data from existing vehicle sensors to model key tire variables. The system uses advanced algorithms to provide unprecedented visibility into tire condition, enabling predictive maintenance and interaction with vehicle systems to optimize performance and safety.
The digital twin offers several solutions: MICHELIN SmartWear for tire wear monitoring and end-of-life prediction, MICHELIN SmartLeak for early leak detection and pressure monitoring, SmartLoad for load estimation, SmartGrip for grip and hydroplaning detection, and rolling resistance estimation. These solutions are brand-agnostic and do not require dedicated tire sensors.
20%percent
Over the past twenty years, Michelin increased passenger car tire energy efficiency by 20% without compromising safety or longevity.
- SmartWear: real-time tread depth estimation and end-of-life prediction.
- SmartLeak: early detection of slow leaks and critical pressure threshold estimation.
- SmartLoad: vehicle load measurement for optimal pressure recommendations.
- SmartGrip: grip and hydroplaning risk detection, supporting ADAS systems (from 2026).
- Rolling resistance estimation to improve electric vehicle range.
Why this matters
This innovation transforms tires into intelligent components, enabling proactive maintenance, improving safety, and optimizing performance for both conventional and electric vehicles.
Terms in This Story
- Digital twin
- A virtual representation of an object or system updated with real-time data, used for monitoring and simulation.
- TPMS
- Tire Pressure Monitoring System; a system that monitors air pressure inside tires.
- ADAS
- Advanced Driver-Assistance Systems; technologies that assist drivers with safety features like braking and lane-keeping.
- AUTOSAR
- A standardized software architecture for automotive electronic control units, especially safety-critical systems.
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