CUSTOMER-ORIENTED VIRTUAL TIRE WEAR ASSESSMENT USING MULTI-PHYSICAL SIMULATIONS
Stellantis
Stellantis
Silvio DataVehicle Dynamics Senior Fellow
Silvio DataVehicle Dynamics Senior Fellow
MegaRide
MegaRide
Flavio FarroniCo-Founder & CEO
Flavio FarroniCo-Founder & CEO
Thursday 21 May 2026 10:20
Increasing demands on vehicle performance, including efficiency, braking, and NVH, are making tire-related trade-offs progressively more complex and critical for customer satisfaction. In this context, anticipating and strengthening tire wear predictions early in the development process is becoming essential.
This work presents a joint project by Stellantis, MegaRide and the University of Naples Federico II, aimed at transitioning tire wear assessment from physical testing to a digital simulation-driven approach. Using MegaRide’s physical tire wear model weaRIDE within the VI-CarRealTime environment, more than 50,000 km of driving were virtually reproduced within a Stellantis vehicle with multiple tire configurations, enabling extensive wear analyses before physical test objects are available.
The results show a reliable prediction of relative tire wear trends, allowing early and intensified verification activities while significantly reducing validation time and costs. The proposed methodology supports customer-oriented development by enabling informed tire and vehicle trade-offs and is naturally extendable to sustainability and regulatory assessments, including the Euro 7 framework and current guidelines.
This work presents a joint project by Stellantis, MegaRide and the University of Naples Federico II, aimed at transitioning tire wear assessment from physical testing to a digital simulation-driven approach. Using MegaRide’s physical tire wear model weaRIDE within the VI-CarRealTime environment, more than 50,000 km of driving were virtually reproduced within a Stellantis vehicle with multiple tire configurations, enabling extensive wear analyses before physical test objects are available.
The results show a reliable prediction of relative tire wear trends, allowing early and intensified verification activities while significantly reducing validation time and costs. The proposed methodology supports customer-oriented development by enabling informed tire and vehicle trade-offs and is naturally extendable to sustainability and regulatory assessments, including the Euro 7 framework and current guidelines.