Battery Cell Tab Inspection Using Root Corner Reference Lines
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Solution Overview
Problem
Existing methods for inspecting tab appearance of cell assemblies in battery production are inefficient and lack accuracy, particularly in detecting defects in stacked tabs, which affects the quality and safety of batteries.
Innovation Solution
A computer-implemented method using computer vision technology to inspect tab appearance by determining reference edge lines through linear fitting of side edges and root corners of tab stacking regions, enhancing accuracy through binarization and template matching, and providing result information on tab alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual measurement or inspection using a special gauge is used, then the inspection process is simple, but the inspection efficiency is low and accuracy is insufficient
Solution Approach 1:
The patent replaces manual measurement and special gauge inspection with a computer vision system that uses image processing algorithms to automatically detect and measure tab appearance defects. The system captures images of the cell assembly and uses image processing to identify root corners, determine reference edge lines, and measure tab alignment, thereby eliminating the need for mechanical measurement tools while improving both efficiency and accuracy.
Solution Approach 2:
The patent creates a digital copy of the cell assembly through image capture, allowing virtual measurement and inspection of tab appearance. Instead of physically measuring with gauges, the system processes image data to extract geometric information about root corners and reference edges, enabling non-contact, high-precision inspection that is both efficient and accurate.
2Measurement precision
If computer vision technology with linear fitting is used, then inspection accuracy is enhanced, but the processing complexity increases
Solution Approach 1:
The patent segments the inspection process into distinct computational stages: image acquisition, root corner detection, reference edge line determination through linear fitting, and final measurement calculation. By dividing the complex image processing task into modular steps, the system manages computational complexity while maintaining high measurement precision through systematic analysis of each component.
Solution Approach 2:
The patent performs preliminary processing steps such as binarization and edge detection before final measurement, and determines reference edge lines through linear fitting of side edges in advance. These preliminary actions prepare the data for accurate measurement by establishing reference frameworks, thereby reducing the complexity of the final measurement calculation while ensuring high precision.
3Measurement precision
If template matching and binarization processing are applied, then defect detection accuracy improves, but the inspection time increases
Solution Approach 1:
The patent applies binarization and template matching selectively to critical regions of the image, such as tab stacking areas and root corner regions, rather than processing the entire image with full complexity. This partial application of intensive processing methods maintains high defect detection accuracy while reducing overall inspection time by focusing computational resources where they are most needed.
Data Source
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AI summary
A method and an apparatus for inspecting tab appearance of cell assembly, an electronic device, a computer-readable storage medium, and a computer program product are provided. The method includes: obtaining an image for inspection that includes a background region and a cell assembly image region, where the cell assembly image region includes a body zone and a plurality of tab stacking regions, each tab stacking region adjoining a top edge or a bottom edge of the body zone; determining each root corner of the plurality of tab stacking regions in the image for inspection; determining two side edges of the body zone in the image for inspection; determining at least one reference edge line in the image for inspection based on the two side edges of the body zone in the image for inspection; and determining result information of the tab appearance inspection based on each root corner of the plurality of tab stacking regions in the image for inspection and the at least one reference edge line.