基于敏感度分析的隔膜品质提升方法
By establishing a model of diaphragm production parameters and quality parameters through sensitivity analysis, and using random forest algorithm and neural network model, intelligent adjustment of diaphragm production parameters is realized, which solves the problem of complex and resource-intensive parameter adjustment in the existing technology, and improves product quality and production efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SUZHOU JIESHENG TECH CO LTD
- Filing Date
- 2022-12-22
- Publication Date
- 2026-07-17
AI Technical Summary
In the current battery separator production process, parameter adjustment is complex and consumes a lot of manpower and resources, resulting in high defect rates and high energy consumption. Moreover, existing methods lack effective intelligent adjustment means.
By employing a sensitivity analysis-based approach, and utilizing a random forest algorithm and a time-series neural network model, the relationship between diaphragm production parameters and quality parameters is established, generating a predictive model to enable intelligent adjustment of preparation parameters, thereby reducing energy consumption and improving product yield.
This has optimized the quality of diaphragm products, reduced energy consumption and industrial maintenance costs, improved product yield, and enhanced the level of intelligence in the production process.
Smart Images
Figure CN116190909B_ABST