Intelligent optimization method and system for multi-process production energy efficiency of lithium battery diaphragm

By acquiring raw material and indicator data for lithium battery separator production, generating indicator weights, and dynamically adjusting production parameters, the problem of low energy consumption in lithium battery separator production has been solved, achieving improved energy efficiency and enhanced quality stability.

CN121209433APending Publication Date: 2025-12-26HENAN HUIQIANG NEW ENERGY MATERIAL TECH CO LTD
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Patent Information

Application Number
CN202511284309.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-09
Publication Date
2025-12-26

AI Technical Summary

Technical Problem

In the current lithium battery separator production process, the complex coupling effect between energy consumption in multiple processes leads to low energy utilization efficiency, and traditional experience-based setting methods are difficult to significantly improve production energy efficiency.

Method used

By acquiring raw material data and preset indicator data, the weights of each indicator are generated, the initial production parameters are determined, and equipment and result parameters are collected in real time. The system dynamically judges whether to adjust the parameters and finally generates the optimal production parameters, thus achieving dynamic, data-driven optimization throughout the entire process.

Benefits of technology

It improves the energy efficiency of lithium battery separator production, balances cost and quality control, accurately adapts to different production needs, and enhances overall efficiency and quality stability.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the field of lithium battery diaphragm production, in particular to a lithium battery diaphragm multi-process production energy efficiency intelligent optimization method and system. The method comprises the following steps: comprehensively obtaining raw material data and preset multi-dimensional index data, intelligently generating each index weight and determining initial production parameters, and realizing accurate preliminary control on a production process; meanwhile, equipment and result parameters are collected in real time in the production process, whether initial parameters need to be adjusted or not is dynamically judged accordingly, if adjustment is needed, multi-aspect data are further combined to generate optimal production parameters, the whole-process dynamic and data-driven optimization mode can effectively improve the production energy efficiency, cost and quality control are considered, and the production efficiency is improved. And different production requirements are accurately met, and the overall benefit and quality stability of lithium battery diaphragm production are improved.
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Citation Information

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