Battery X-Ray Imaging With Multi-Position Stitching for Edge Distortion
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Solution Overview
Problem
Existing battery defect detection methods suffer from image distortion at the edges of batteries due to inconsistent transmission thicknesses, leading to inaccurate defect detection and reduced reliability.
Innovation Solution
A battery defect detection device and method that adjusts the relative positions of a carrying component, ray source, and detector to vertically project optical axes onto multiple target positions on the battery surface, stitching initial images to form a comprehensive detection image, using high-resolution detectors like flat panel or time delay integration detectors to mitigate edge distortion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single fixed position detection is used, then the detection process is simple and fast, but image distortion occurs at the battery edges due to inconsistent transmission thickness
Solution Approach 1:
The patent divides the battery surface into multiple detection regions by projecting optical axes onto multiple target positions. The detection process is segmented into multiple scanning positions, with each position capturing a specific region of the battery. This segmentation allows each region to be detected with optimal imaging conditions, reducing edge distortion while maintaining overall detection accuracy.
2Measurement precision
If multiple positions are scanned to reduce edge distortion, then detection accuracy improves, but detection time increases
Solution Approach 1:
The patent pre-establishes multiple target positions on the battery surface and determines the scanning path in advance. The optical axes of the ray source are pre-configured to vertically project onto these target positions. This preliminary arrangement allows the detection system to efficiently scan multiple positions without real-time calculation overhead, reducing detection time while maintaining high detection accuracy through multi-position imaging.
3Measurement precision
If the radiation surface dimension is increased to reduce edge distortion, then image quality improves, but the device size and complexity increase
Solution Approach 1:
Instead of increasing the radiation surface area in a single dimension, the patent transitions to a multi-dimensional solution by scanning across multiple target positions on the battery surface. The system maintains a compact radiation surface but achieves comprehensive high-quality coverage by moving the optical axes vertically onto multiple positions and stitching the images together, effectively using spatial dimensionality to overcome the limitation of fixed radiation surface size.
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 image distortion, enhances accuracy, and improves the detection efficiency of battery defects such as internal wrinkles and electrode plate damage, ensuring reliable battery quality.
Implementation Method 1
a ray source; a detector; the detector receives the rays penetrating through the battery to obtain a plurality of initial images
Data Source
AI summary
A battery defect detection device comprises a ray source, a detector, a bearing part, a moving mechanism and a defect detection unit; the moving mechanism is used for adjusting, in a direction parallel to a battery bearing surface, relative positions between the bearing part and the ray source as well as between the bearing part and the detector, such that optical axes of rays emitted by the ray source vertically project to a plurality of target positions on the surface of a battery, respectively; the detector receives the rays penetrating through the battery so as to obtain a plurality of initial images; the defect detection unit is connected to the detector, and the defect detection unit is used for splicing the plurality of initial images so as to obtain a detection image comprising the whole battery, and performing defect detection on the battery on the basis of the detection image.