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Integrating virtual tire simulation loops with automotive engineering platforms

Continental and Renault Group are combining digital driving simulators and compounding techniques to increase electric vehicle range.

  www.continental.com
Integrating virtual tire simulation loops with automotive engineering platforms

The technical cooperation integrates advanced tire simulation loops with vehicle development platforms to optimize the energy efficiency of electric powertrains. The collaboration introduces a customized low-rolling-resistance tire design validated through interconnected driver-in-the-loop simulators, targeting original equipment manufacturing and digital infrastructure in the electric vehicle industry.

Dissipation bottlenecks in high-range electric vehicle chassis
Electric vehicles depend on minimal energy loss to maximize driving range from a single battery charge. Approximately 20 to 30 percent of an automotive platform's energy consumption is caused by rolling resistance, where mechanical energy is dissipated as heat through structural deformation and friction at the tire-road interface.

Optimizing these parameters traditionally requires iterative physical compounding trials, which increase development cycles and material waste. Furthermore, decreasing rolling resistance without adjusting structural configurations can compromise tire grip, leading to a reduction in braking performance and directional stability.

Co-simulation architecture and specialized structural parameters

The joint engineering framework addresses these challenges by modifying physical tire topography and integrating virtual testing environments. Continental customized its baseline tread and carcass architecture to align with Renault Group’s development platform.

The division of tasks and execution responsibilities between the technical partners is structured as follows:
  • Continental components: Develops the customized rubber compound, optimizes the sidewall geometry, adapts the underlying carcass ply construction, and hosts a specialized driver-in-the-loop simulator for preliminary force-and-moment optimization.
  • Renault Group components: Utilizes its driving simulator to replicate real-world vehicle dynamics, evaluates tire-chassis interaction under reproducible operating conditions, and manages the field-level vehicle integration parameters.
By interconnecting Continental’s simulation tools with Renault Group’s platform, the engineering teams cross-referenced virtual model metrics in real time. The resulting hardware features a modified tread compound that limits internal hysteretic energy loss during cyclic loading, balanced with a flexible sidewall design that preserves the tire footprint for safe braking friction.

Simulated validation and testing phases
The technical solution was tested and validated through virtual testing loops prior to physical prototype creation, eliminating the requirement for approximately 10,000 physical test tires per year. The unified model was demonstrated on June 8, 2026, at an automotive event in Guyancourt, France, using a concept vehicle platform.

The testing protocol involved replicating specific driving cycles inside the software environment to measure kinetic energy dissipation. By pairing the two distinct driving simulators, the engineers verified tire behavior across identical virtual test tracks, accelerating the optimization of the rubber compound without delaying vehicle development phases.

Quantifiable efficiency and operational results
The structural modifications achieved a 35 percent reduction in rolling resistance compared to the baseline threshold required for an A rating under the EU tire labeling framework. This reduction alters vehicle energy consumption metrics by extending the driving range of a 500-kilometer battery configuration by an additional 30 kilometers per charge cycle. The architectural framework ensures that the optimization of energy efficiency does not degrade the traction parameters required to maintain vehicle stability, reducing long-term fleet validation costs through verified co-simulation processes.

Edited by Sucithra Mani, Induportals editor – adapted by AI.

www.continental.com

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