Michelin Unveils Universal Digital Twin of the Tire Without Additional Sensors

A Universal Software Technology Without Embedded Sensors

Michelin's digital twin combines 130 years of tire physics expertise with advanced mathematical models and data science algorithms. Entirely software-based, this embedded intelligence exclusively utilizes data already present in the vehicle, without relying on any additional sensors on the tire. The technology is universal and brand-agnostic regarding the tire make and model. It integrates with all types of vehicles (passenger cars, heavy-duty vehicles, autonomous shuttles) and adapts to new automotive architectures defined by software (Software Defined Vehicles). It is based on over ten years of research and development, multiple patents, and tests over several million kilometers.

Benefits in Safety, Performance, and Tire Durability

The digital twin continuously analyzes and predicts the actual condition of the tire (pressure, wear, load, grip, driving conditions) by correlating it with vehicle data. It interacts directly with onboard systems to enhance safety through prediction of maximum grip, prevention of hydroplaning, improvement of ADAS systems like ABS, and monitoring of pressure. The vehicle can anticipate grip, enhance its stability, optimize fuel consumption, and adjust its braking distances by several meters. By continuously providing accurate information, the technology enables predictive maintenance and extends the tire's lifespan, thereby reducing the amount of materials used and the environmental impact. A recent partnership with Brembo, through the SENSIFY solution, illustrates the benefits of the digital twin on ABS performance. Integrating the actual state of the tire into the braking algorithms has reduced stopping distances by up to 4 meters and enhanced stability under heavy braking conditions.