Quick Takeaways
- Software-defined vehicles can now assess tire health in real time using AI-driven virtual sensing without physical tire sensors.
- Predictive tire health improves safety, reduces costs, and extends tire life by shifting intelligence from hardware to in-vehicle software.
On December 19, the future of predictive tire health took center stage as a new software-driven approach demonstrated how software-defined vehicles can deliver real-time tire intelligence directly inside the vehicle. The solution highlights how advanced analytics and edge computing can continuously assess tire condition without relying on traditional physical sensors.
By shifting tire monitoring from hardware to software, this innovation enables vehicles to interpret dynamic driving conditions and convert them into actionable tire insights. The result is a smarter, safer, and more cost-efficient method of tire health monitoring that aligns with the broader evolution of software-defined vehicle architectures.
How Predictive Tire Health Works Without Physical Sensors
The predictive tire health system combines advanced tire behavior models with artificial intelligence to evaluate real-world driving forces in real time. Instead of using embedded tire sensors, the software analyzes variables such as:
These inputs are processed continuously to calculate tire wear, stress, and remaining life with high accuracy. This virtual sensing approach enables vehicles to maintain tire awareness even in environments where physical sensors may be limited or costly to deploy.
AI-Driven Intelligence at the Vehicle Edge
A key advantage of predictive tire health is its ability to operate securely at the vehicle edge. The digital tire model runs across multiple electronic control units, ensuring uninterrupted performance without constant cloud connectivity. This architecture:
By keeping intelligence inside the vehicle, manufacturers can deliver consistent tire insights while maintaining strict data protection standards.
Benefits for Safety, Cost, and Tire Longevity
The adoption of predictive tire health brings measurable benefits across the automotive value chain. These include:
This software-first approach also supports sustainability goals by maximizing tire usage efficiency and reducing premature replacements.
Real-Time Insights Through a Digital Tire Experience
To illustrate real-world applicability, the technology is showcased using a classic vehicle platform that has been digitally upgraded. Real-time tire insights are delivered through a dedicated in-vehicle and mobile interface, allowing drivers to monitor tire condition, wear progression, and maintenance needs instantly. This demonstration highlights how predictive tire health can be applied not only to new vehicles but also to existing fleets through software retrofitting.
By shifting tire monitoring from hardware to software, this innovation enables vehicles to interpret dynamic driving conditions and convert them into actionable tire insights. The result is a smarter, safer, and more cost-efficient method of tire health monitoring that aligns with the broader evolution of software-defined vehicle architectures.
How Predictive Tire Health Works Without Physical Sensors
The predictive tire health system combines advanced tire behavior models with artificial intelligence to evaluate real-world driving forces in real time. Instead of using embedded tire sensors, the software analyzes variables such as:
- Vehicle load changes
- Braking intensity and frequency
- Cornering forces and driving style
- Road and operating conditions
These inputs are processed continuously to calculate tire wear, stress, and remaining life with high accuracy. This virtual sensing approach enables vehicles to maintain tire awareness even in environments where physical sensors may be limited or costly to deploy.
AI-Driven Intelligence at the Vehicle Edge
A key advantage of predictive tire health is its ability to operate securely at the vehicle edge. The digital tire model runs across multiple electronic control units, ensuring uninterrupted performance without constant cloud connectivity. This architecture:
- Reduces dependency on external networks
- Enhances data security and privacy
- Improves real-time responsiveness
- Supports scalable software-defined vehicle platforms
By keeping intelligence inside the vehicle, manufacturers can deliver consistent tire insights while maintaining strict data protection standards.
Benefits for Safety, Cost, and Tire Longevity
The adoption of predictive tire health brings measurable benefits across the automotive value chain. These include:
- Improved vehicle safety through continuous tire condition monitoring
- Extended tire life by detecting abnormal wear patterns early
- Lower hardware and maintenance costs by eliminating physical sensors
- Reduced operating expenses for both consumers and fleet operators
This software-first approach also supports sustainability goals by maximizing tire usage efficiency and reducing premature replacements.
Real-Time Insights Through a Digital Tire Experience
To illustrate real-world applicability, the technology is showcased using a classic vehicle platform that has been digitally upgraded. Real-time tire insights are delivered through a dedicated in-vehicle and mobile interface, allowing drivers to monitor tire condition, wear progression, and maintenance needs instantly. This demonstration highlights how predictive tire health can be applied not only to new vehicles but also to existing fleets through software retrofitting.
Company Press Release
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