Adaptive control optimization and system of a hydraulic transmission case based on an AI model
By incorporating microsensors and AI models into the hydraulic transmission box to optimize control commands, the problem of not being able to directly perceive the internal pressure distribution in traditional hydraulic transmission box control methods has been solved, achieving more precise control and improved efficiency.
Patent Information
- Application Number
- CN202610472790.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-10
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional hydraulic transmission box control methods are difficult to achieve better control effects because they cannot directly sense the internal pressure distribution and rely on external sensors and theoretical models for indirect adjustment.
By incorporating multiple microsensors into the hydraulic transmission box, internal pressure data is directly collected, and AI models are used to optimize control commands and construct a 3D pressure point cloud, thereby achieving precise capture and optimization of internal flow field characteristics.
It enables direct sensing of the pressure distribution inside the hydraulic transmission box, generating more precise optimized control commands and improving control effectiveness and efficiency.
Smart Images
Figure CN122407775A_ABST