Battery Tab Fold Detection Using Dual-Side Layer Imaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for detecting tab folding in lithium battery manufacturing are not accurate enough, leading to potential safety hazards and quality issues due to inadequate detection of folded tabs during the winding and stacking processes.
Innovation Solution
An apparatus and method utilizing image obtaining modules to capture images of both lateral faces of battery tabs, analyzing these images to determine the number of layers, and using multi-frame image synthesis and characteristic parameters like curvature and thickness to accurately assess whether tabs are folded, thereby improving detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual visual inspection or single-face image detection is used, then the detection process is simple, but the detection accuracy is insufficient
Solution Approach 1:
The detection system is segmented into multiple independent image obtaining modules, each equipped with photographing devices and zoom lenses. Each module captures images from different lateral faces of the tabs, allowing the system to analyze multiple views simultaneously and improve detection accuracy without requiring a single complex detection mechanism
Solution Approach 2:
The system transitions from single-face detection to multi-face detection by adding spatial dimensions. Image obtaining modules are positioned to capture images from different lateral faces of the tabs, creating a three-dimensional detection approach that improves accuracy by analyzing the tab structure from multiple angles and perspectives
2Measurement precision
If zoom lenses and multi-frame synthesis are used, then image definition is improved, but the detection process becomes more complex
Solution Approach 1:
The zoom lenses perform preliminary focusing and magnification of the tab images before the images reach the photographing devices. By pre-adjusting the focal length and magnification level, the system captures high-definition images directly, reducing the need for complex post-processing operations and simplifying the overall image processing workflow
Solution Approach 2:
The system captures multiple copies of the tab images at different focal lengths using the zoom lenses. These multiple image copies are then synthesized through multi-frame synthesis algorithms to produce a single high-definition image with improved detail and reduced noise, effectively trading multiple simple captures for one complex high-quality result
Data Source
AI summary
This application provides an apparatus and method for detecting tab folds, and an image analyzer. The apparatus for detecting tab folds includes: a first image obtaining module, configured to obtain a first image of a first lateral face of tabs of a battery cell; a second image obtaining module, configured to obtain a second image of a second lateral face of the tabs, where the second lateral face is different from the first lateral face; and an image analyzer, configured to obtain, based on the first image, a first number of layers of the tabs corresponding to the first lateral face, and obtain, based on the second image, a second number of layers of the tabs corresponding to the second lateral face, and determine, based on at least one of the first number of layers or the second number of layers, whether the tabs are in a folded state.