Material Strip Vision Alignment for Accurate Battery Stacking Cuts
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Solution Overview
Problem
The existing methods for determining cut hole deviation and lamination position in the continuous stacking process of battery production are inaccurate and prone to wrong or missed detections, affecting the efficiency and precision of the material strip cutting and electrode plate lamination.
Innovation Solution
A material strip feeding detection method using camera apparatuses to capture images of the material strip, identify markers, and calculate deviations, which improves the accuracy of cut hole detection and lamination position determination through computer vision, enabling precise alignment with the cutting mechanism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are used for detecting cut holes, then the detection process is simple, but the detection accuracy is low leading to wrong or missed detections
Solution Approach 1:
The patent replaces traditional mechanical sensors with a camera-based computer vision system to detect cut holes and markers on material strips. This substitution enables more accurate visual detection of cut hole positions and lamination markers, resolving the contradiction between simple detection and accurate measurement by using optical imaging instead of mechanical sensing.
Solution Approach 2:
The patent creates visual copies (images) of the material strip features using camera apparatus. By capturing images of cut holes and markers and processing them computationally, the system achieves high detection accuracy without requiring direct physical contact or complex sensor arrays, thus improving measurement precision while managing device complexity.
2Manufacturing precision
If traditional detection methods are used, then the system is simple to operate, but the lamination position determination is inaccurate
Solution Approach 1:
The patent introduces markers as intermediary elements attached to the material strip at specific lamination positions. These markers serve as visual mediators that the camera system can easily detect and track, enabling precise determination of lamination positions without requiring complex direct measurement of the material strip itself, thus improving manufacturing precision while maintaining operational simplicity.
Solution Approach 2:
The patent utilizes markers with distinct visual characteristics (such as color differences or pattern variations) on the material strip. These visual changes enable the camera system to easily distinguish and locate lamination positions through image processing, improving lamination position accuracy while keeping the system easy to operate through automatic visual recognition.
3Measurement precision
If camera apparatus is used to capture material strip images, then the detection accuracy improves, but the device complexity increases
Solution Approach 1:
The patent extracts and processes only the essential features (cut holes and markers) from the captured material strip images using image processing algorithms. By focusing computational resources on detecting and locating these specific features rather than analyzing the entire image in detail, the system achieves high marker position detection accuracy while managing the complexity of the imaging and processing system.
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
This method enhances the accuracy of cut hole detection and lamination position determination, improving the efficiency and precision of the material strip cutting process and reducing errors in the battery production process.
Implementation Method 1
shooting with at least one camera apparatus to obtain at least one material strip image
Implementation Method 2
turning on a back light source, light emitted from the back light source being projected onto the back face of the detection region
Implementation Method 3
turning on a front light source, light emitted from the front light source being projected onto the front face of the detection region
Data Source
AI summary
A material strip feeding detection method for a stacking machine and a material strip feeding detection apparatus for the stacking machine are provided. The material strip comprises a plurality of first electrode plates distributed continuously in a feeding direction. The method comprises: shooting with at least one set of camera apparatuses to obtain at least one material strip image; determining whether the material strip image comprises a first marker and a second marker; acquiring a target deviation of the first marker relative to a preset position based on the material strip image in response to determining that the material strip image comprises the first marker; controlling the material strip feeding detection apparatus to perform feeding deviation rectification of the material strip conveyed on a conveying mechanism based on the target deviation, and controlling a cutting mechanism to cut the material strip on the conveying mechanism after the feeding deviation rectification.