Battery Electrode Defect Detection From Rotated X-Ray Reconstruction
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Solution Overview
Problem
Current methods for inspecting secondary batteries, such as CT scans, are costly, time-consuming, and prone to image distortion due to independent operation of X-ray sources and detectors, requiring additional devices for accurate defect detection.
Innovation Solution
A terminal equipped with a processor and display that generates reconstructed X-ray images of secondary batteries using artificial neural networks for image quality improvement and electrode detection, allowing for automated defect detection by rotating and processing images to separate positive and negative electrodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If CT scan is used for inspection, then defect detection capability is improved, but inspection cost and time increase
Solution Approach 1:
The patent segments the inspection process into two stages: first, a quick preliminary inspection using a simplified X-ray imaging method to capture basic electrode profiles; second, targeted detailed inspection only for samples showing potential defects. This segmentation reduces overall inspection time while maintaining defect detection capability for critical issues.
Solution Approach 2:
The patent employs a lower-cost, faster X-ray imaging approach that sacrifices some of the comprehensive 3D reconstruction capability of full CT scans. By using a more economical imaging method that captures essential defect information without requiring complete volumetric scanning, the system reduces inspection time and cost while maintaining adequate defect detection for production purposes.
2Measurement precision
If CT scan is used for inspection, then defect detection capability is improved, but inspection cost increases
Solution Approach 1:
The patent employs a lower-cost, faster X-ray imaging approach that sacrifices some of the comprehensive 3D reconstruction capability of full CT scans. By using a more economical imaging method that captures essential defect information without requiring complete volumetric scanning, the system reduces inspection time and cost while maintaining adequate defect detection for production purposes.
Solution Approach 2:
The patent extracts only the essential information needed for defect detection from the X-ray images, rather than performing complete CT reconstruction. By focusing on capturing specific electrode profile characteristics and potential defect indicators, the system eliminates unnecessary processing steps and reduces both equipment requirements and operational costs.
3Productivity
If laser sensor is used to measure electrode profile, then inspection speed is improved, but additional devices are required
Solution Approach 1:
The patent merges the X-ray imaging function with the electrode profile measurement function into a single integrated system. By using X-ray images to directly capture electrode profiles and spatial relationships, the system eliminates the need for separate laser sensors and intake ports, reducing device complexity while maintaining inspection speed through automated image-based measurement.
4Measurement precision
If multiple images are combined to reconstruct secondary battery image, then defect detection capability is improved, but image distortion occurs
Solution Approach 1:
The patent incorporates feedback mechanisms where the system continuously monitors and adjusts for positional variations between the detector, X-ray source, and conveyor belt. By detecting actual positions and compensating for deviations in real-time, the system maintains accurate spatial relationships in reconstructed images, preventing distortion while enabling multi-image reconstruction for comprehensive defect detection.
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 approach reduces the cost and effort of inspecting secondary batteries by enabling automated defect detection, improving image accuracy, and maintaining consistent positioning of X-ray sources and detectors.
Implementation Method 1
a plurality of X-ray images of a secondary battery
Implementation Method 2
generating a reconstruction image from a plurality of X-ray images
Data Source
AI summary
A terminal can include a display and a processor configured to generate a reconstructed image based on a plurality of X-ray images of a battery, and rotate the reconstructed image by a predetermined angle to generate a tilting image. Also, the processor can generate an electrode detection image based on the tilting image, the electrode detection image including a positive electrode of the battery and a negative electrode of the battery in which the positive electrode and the negative electrode are separated from each other, and detect whether the battery is defective based on the electrode detection image.