一种硅油风扇离合器滑差率预测方法
By calculating the silicone oil viscosity correction coefficient and solving the equilibrium speed by combining the fan load curve, a transmission torque estimation model was established. The model parameters were then corrected using the measured slip rate error, which solved the model drift problem in the prediction of silicone oil fan clutch slip rate and achieved higher prediction accuracy and adaptability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHANGCHUN UNIV OF TECH
- Filing Date
- 2026-05-12
- Publication Date
- 2026-07-17
AI Technical Summary
In the existing technology, the method for predicting the slip rate of silicone oil fan clutches does not fully consider the viscosity-temperature characteristics of silicone oil, the fan load curve and the speed relationship between the active and driven ends, and lacks the model self-correction capability. This results in large prediction errors under conditions of large temperature and load changes, and makes it difficult to adapt to silicone oil aging, assembly differences and sensor deviations.
By acquiring the active end speed, fan speed, silicone oil temperature, and ambient temperature, the silicone oil viscosity correction coefficient is calculated. The balanced fan speed is then determined by combining the fan load curve, and a transmission torque estimation model is established. The model parameters are then corrected using the measured slip rate error to improve prediction accuracy and adaptability.
It improves the accuracy of slip rate prediction for silicone oil fan clutches under different operating conditions, reduces the impact of aging, assembly differences and sensor deviations, and provides a data basis for control strategy optimization and condition monitoring.
Smart Images
Figure CN122174749B_ABST