Battery Cell Defect Detection Under Shadowless Illumination
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Solution Overview
Problem
The existing methods for detecting defects in lithium iron phosphate battery cells after tab welding are prone to false detections due to light spots caused by slight bending of the adapter plate, affecting the accuracy of the process.
Innovation Solution
A computer-implemented battery cell detection method that uses a shadowless light source to capture cell pictures, determines a detection object, and performs defect detection based on the object, utilizing a preset adapter plate model to accurately identify welding points and tab coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a conventional light source is used to illuminate the battery cell for detection, then the detection process can be performed, but light spots are generated due to adapter plate bending causing false detections
Solution Approach 1:
The patent changes the illumination parameters by using a shadowless light source instead of a conventional point light source. This parameter change eliminates the formation of light spots caused by adapter plate bending, as the shadowless light source provides uniform omnidirectional illumination that prevents concentrated light reflections even when the adapter plate is slightly bent.
2Measurement precision
If the identification layer is applied before detection, then the cell can be properly identified, but the folded identification layer causes reflection affecting welding point detection
Solution Approach 1:
The patent performs welding point detection before the identification layer is applied to the battery cell. This preliminary action ensures that the detection is conducted on a clean surface without the interference of the identification layer's folded edges and reflections. The detection is then repeated after identification layer application to verify results, ensuring accurate welding point detection free from reflection interference.
3Measurement precision
If multiple detection stages are implemented, then detection accuracy is improved, but the detection process time increases
Solution Approach 1:
The patent performs an initial welding point detection before identification layer application to establish baseline results. This preliminary detection allows for early identification of potential defects, and the same detection is repeated after identification layer application to verify results. This staged approach improves accuracy while managing time by performing necessary detections only at critical stages.
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
Reduces the risk of false detection by minimizing the impact of light spots, thereby improving the accuracy of defect detection in battery cells post-tab welding.
Implementation Method 1
obtaining, by shooting, a cell picture of a battery cell obtained after tab welding, the cell picture being shot under illumination of a shadowless light source
Data Source
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AI summary
A cell detection method and apparatus, a system, a computer device, a computer-readable storage medium, a computer program product, and a cell detection system are provided, where the method includes: obtaining, by shooting, a cell picture of a cell obtained after tab welding, the cell picture being shot under illumination of a shadowless light source; determining a detection object in the cell picture; and performing defect detection based on the detection object to obtain detection result information. In this method, the cell picture of the cell obtained after tab welding is shot under illumination of the shadowless light source, which can reduce a risk of false detection due to an impact of light spots caused by slight bending of an adapter plate, thereby improving the accuracy of defect detection on the cell that is obtained after tab welding.