Battery Tab Image Detection for Complete Shape and Fold Inspection
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Solution Overview
Problem
Existing tab detection methods in battery manufacturing, particularly for stacking-type batteries, are inefficient and inaccurate, often leading to missed or damaged tabs that result in high scrap rates due to incomplete detection of tab size, shape, and folding, which can cause short circuits and low capacity issues.
Innovation Solution
A method and apparatus using image collection of tabs moving vertically through an image collection area, employing CCD cameras to accurately detect tab size, shape, and folding, while avoiding gravity-induced unevenness, and allowing continuous detection without data transmission delays, ensuring complete image capture and efficient tab counting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If tab detection is performed using light sensors, then detection speed is improved, but detection completeness deteriorates (cannot fully detect tab size, shape, and folding)
Solution Approach 1:
The patent replaces light sensors with image collection devices (cameras) to detect tabs. This substitution enables complete detection of tab size, shape, and folding status through image capture, while maintaining high detection speed through continuous image collection during electrode plate movement. The image processing system accurately identifies tab abnormalities without the limitations of light sensor-based methods.
2Device complexity
If tab detection is performed when tabs move horizontally, then detection process is simplified, but detection accuracy deteriorates (gravity causes tab unevenness and recesses)
Solution Approach 1:
The patent utilizes the dynamic movement of electrode plates along the vertical direction to optimize detection conditions. By collecting images when tabs move vertically rather than horizontally, gravity acts uniformly on tabs, preventing unevenness and recesses that would occur during horizontal movement. This dynamic approach maintains simple detection process setup while significantly improving detection accuracy.
3Productivity
If image collection is performed continuously, then detection efficiency is improved, but data processing complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where image collection is triggered and controlled based on the position and movement state of electrode plates. The system processes images in real-time, provides feedback on tab detection results, and adjusts image collection parameters accordingly. This feedback loop maintains high detection efficiency while managing data processing complexity through intelligent control and selective image capture.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Improves detection efficiency and accuracy by ensuring complete and clear image capture of tab states, reducing scrap rates and enhancing battery cell quality through precise tab identification and continuous processing.
Implementation Method 1
collecting image information of the first tab, wherein the image information of the first tab is used to determine a state of the first tab
Data Source
AI summary
Disclosed are a method and an apparatus for detecting a tab. The method includes: determining that a first tab of a first electrode plate in a plurality of electrode plates of a first electrode assembly reaches a first position in an image collection area, wherein the plurality of electrode plates move toward the image collection area along a vertical direction; and collecting image information of the first tab, wherein the image information of the first tab is used to determine a state of the first tab. The tab detection method provided is able to completely detect the size and shape of the tab while avoiding adverse effects of the detection process on the state of the tab, so that the detection efficiency can be improved while improving the detection effect.