Cloud monitoring platform and monitoring method for air spring transient performance
By using a cloud monitoring platform with a hybrid model, combining network and physical models, the problem of traditional physical models being unable to accurately monitor the transient performance of air springs has been solved. This enables rapid and accurate monitoring and dynamic adjustment of the force transmitted by air springs, thereby improving the overall performance of the suspension system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANGHAI JIAOTONG UNIV
- Filing Date
- 2024-10-21
- Publication Date
- 2026-06-05
AI Technical Summary
In existing technologies, traditional physical models cannot accurately monitor and predict the transient performance of air springs, resulting in lag in the response of air spring control systems under complex operating conditions, making it difficult to achieve precise performance control.
A cloud monitoring platform employing a hybrid model combining network and physical models acquires operating information of air springs, predicts transient transmitted forces, uses network models to predict difficult-to-measure physical parameters such as heat exchange coefficient and equivalent characteristic amplitude, and combines the dynamic stiffness of the rubber airbag for correction, thereby achieving rapid and accurate monitoring of the transient performance of air springs.
It enables rapid and accurate monitoring of the transient performance of air springs, improves the accuracy of air spring force transmission, supports real-time status monitoring and dynamic adjustment, and enhances the overall performance of the suspension system.
Smart Images
Figure CN119557995B_ABST