An adaptive tire pressure monitoring system for a tire
By constructing a full lifecycle digital twin model and a lightweight federated learning algorithm, dynamic alarm thresholds are generated, solving the problem of false alarms and missed alarms in tire pressure monitoring systems. This enables quantitative assessment and full lifecycle management of tire health status, improving driving safety and tire lifespan.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Filing Date
- 2026-04-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing tire pressure monitoring systems use fixed alarm thresholds, which cannot adapt to wear and aging and performance degradation throughout the tire's entire life cycle. This results in high false alarm and missed alarm rates, making it impossible to avoid tire blowout risks in advance and unable to perform quantitative assessments of tire health status.
A digital twin model corresponding to each individual tire throughout its entire lifecycle is constructed. Combined with a lightweight federated learning algorithm on the vehicle side, dynamic alarm thresholds are generated. The tire health index calculation formula is used to quantitatively assess the tire condition and realize early prediction and graded alarm for slow air leakage.
It reduced the false alarm and false alarm rates of the system, improved the accuracy and lead time of tire anomaly warnings, extended tire lifespan, and reduced vehicle operating costs.
Smart Images
Figure CN122402141A_ABST