Patterned Electrode Tracking for Battery Process Traceability
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Solution Overview
Problem
Existing battery manufacturing processes lack effective quality traceability and data matching, particularly for patterned electrodes, which are critical for determining yield and performance.
Innovation Solution
A method and system for monitoring battery manufacturing that involves acquiring pattern identification data and measurement/inspection data for patterned electrodes, associating these with coordinate data to generate monitoring data, and creating a roll map for improved traceability and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If patterned electrodes are used to improve battery performance and yield, then manufacturing precision is improved, but quality traceability and data matching become more difficult
Solution Approach 1:
The electrode sheet is divided into multiple coating patterns with distinct identification codes. Each pattern is segmented and tracked independently through the manufacturing process, enabling precise quality traceability while simplifying data matching by creating discrete, identifiable units rather than treating the entire electrode as a single complex entity.
Solution Approach 2:
Pattern identification codes serve as intermediaries between the physical electrode patterns and the digital measurement/inspection data. These codes enable automatic association of quality data with specific electrode patterns, resolving the data matching complexity without requiring complex image recognition or manual tracking systems.
2Reliability
If comprehensive measurement and inspection data are collected for each coating pattern, then quality traceability is improved, but data processing complexity and time increase
Solution Approach 1:
Pattern identification codes are assigned to each coating pattern before the measurement and inspection processes begin. This preliminary action establishes a ready-made framework for data association, eliminating the need for complex post-processing matching operations and reducing overall data processing time while maintaining comprehensive quality traceability.
Solution Approach 2:
The system implements real-time feedback by continuously acquiring pattern identification data, measurement data, and inspection data, and automatically associating them as the electrode sheet moves through the manufacturing process. This continuous feedback loop enables comprehensive quality tracking without requiring batch processing or extensive post-manufacturing analysis.
3Manufacturing precision
If pattern identification data is acquired for each coating pattern, then manufacturing precision is improved, but the complexity of the monitoring system increases
Solution Approach 1:
The patterned electrode sheet carries its own identification codes that automatically identify each coating pattern as it moves through the manufacturing process. This self-service approach eliminates the need for complex external identification systems, reducing monitoring system complexity while maintaining high pattern tracking accuracy through the inherent identification features on the electrode itself.
Data Source
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AI summary
A method and a system for monitoring a battery manufacturing process in which a patterned electrode sheet is formed or processed are provided, wherein the patterned electrode sheet includes a plurality of coating patterns, each coating pattern having at least one coated and one uncoated portion. The method includes acquiring, while the patterned electrode sheet moves through the battery manufacturing process, pattern identification data including pattern identification codes representing a respective one of the plurality of coating patterns by its position on the patterned electrode sheet, acquiring measurement data and/or inspection data by measuring and/or inspecting the patterned electrode sheet while it moves through the battery manufacturing process, and generating monitoring data on the battery manufacturing process by associating the measurement data and/or inspection data with the pattern identification data.