Electrode Coating Misalignment Detection Using Reference Edges
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Solution Overview
Problem
Conventional coating misalignment detection methods in battery production are inaccurate due to interference from blank regions, leading to reduced precision and increased production costs.
Innovation Solution
A method that determines the number of reference edges based on the coating type of the electrode plate substrate, identifies corresponding target reference edges, and calculates misalignment using distance data from each coating region edge to these edges, reducing interference from blank regions and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional coating misalignment detection methods are used that only consider misalignment between coating regions, then the detection process is simple, but the detection accuracy is reduced due to interference from blank regions
Solution Approach 1:
The patent segments the electrode plate into multiple coating regions and identifies reference edges for each coating region separately. Instead of treating the entire electrode plate as a single detection target, the method divides it into manageable segments (coating regions with their respective reference edges), allowing for more precise local misalignment measurements while maintaining organizational structure.
Solution Approach 2:
The patent introduces reference edges as intermediary elements between the coating regions and the detection system. These reference edges serve as stable mediator objects that are not affected by blank region interference, enabling accurate misalignment measurement by providing a consistent reference framework that mediates the comparison between different coating regions.
2Measurement precision
If the number of reference edges is increased to improve detection accuracy, then the precision of misalignment measurement improves, but the complexity of determining target reference edges increases
Solution Approach 1:
The patent applies local quality by determining the number of reference edges based on the specific coating type. Different coating types (one-into-two vs. other types) receive different numbers of reference edges tailored to their local requirements. This localized approach ensures optimal measurement precision for each coating configuration without unnecessarily increasing complexity across all cases.
Solution Approach 2:
The patent changes the parameter of reference edge quantity dynamically based on coating type. By adjusting the number of reference edges according to the specific coating configuration, the system optimizes the balance between measurement precision and identification complexity, using more reference edges only when the coating structure requires enhanced measurement capability.
Data Source
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AI summary
The present application relates to a coating misalignment detection method, an apparatus, a computer device, and a storage medium. The method includes: obtaining a coating type of an electrode plate substrate and determining a number of reference edges according to the coating type; determining a corresponding target reference edge of each coating region edge of the electrode plate substrate in a case where the number of reference edges is two; determining first distance data from coating region edges on a first surface of the electrode plate substrate to a corresponding target reference edge and second distance data from coating region edges on a second surface of the electrode plate substrate to a corresponding target reference edge; and determining a coating misalignment amount of the electrode plate substrate in a coating process according to the first distance data and the second distance data. By adopting the method, the interference generated by blank regions on the surfaces of the electrode plate substrate in the coating misalignment detection process can be reduced, and the accuracy of the coating misalignment detection is effectively improved.