Battery Cell X-Ray Inspection Through Elastic Deformation Comparison
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Solution Overview
Problem
Existing methods struggle to effectively detect discontinuities in battery cells, such as tears and short circuits, which can lead to malfunctions in battery cells used in automotive applications, particularly in pouch-type battery cells.
Innovation Solution
A system and method utilizing direct x-ray radiography to take images of battery cells in different deformation states, analyzing these images using automated machine vision to identify and confirm discontinuities by comparing regions before and after deformation, enhancing contrast and visibility through digital filtering and histogram weighting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional inspection methods are used to detect discontinuities in battery cells, then the inspection process is simple, but the detection precision and reliability are insufficient
Solution Approach 1:
The system dynamically deforms the battery cell between two states and captures images in each state. By comparing the dynamic changes in image features between deformed states, the system enhances the detectability of discontinuities that would be invisible in static inspections, thereby improving measurement precision without requiring overly complex equipment.
Solution Approach 2:
The system changes physical parameters by elastically deforming the battery cell structure. This parameter change causes discontinuities to manifest as visible image feature differences between deformed states, enabling detection with relatively simple imaging equipment while achieving high detection precision.
2Reliability
If the battery cell is deformed to enhance discontinuity visibility, then the detection capability improves, but the risk of damaging the cell increases
Solution Approach 1:
The system applies only elastic deformation within safe limits before imaging, ensuring the cell returns to its original state without permanent damage. This preliminary controlled action cushions against potential damage while still achieving sufficient deformation to make discontinuities visible for reliable detection.
Solution Approach 2:
The system applies just enough deformation to make discontinuities detectable through image comparison, but not excessive deformation that would cause damage. This partial action approach achieves the minimum necessary deformation for reliable detection while preserving cell integrity.
3Measurement precision
If multiple images are taken and compared to confirm discontinuities, then the detection accuracy improves, but the inspection time increases
Solution Approach 1:
The system uses periodic deformation cycles, capturing images at specific deformation states in a repetitive manner. This periodic action allows efficient comparison of image features across cycles to confirm discontinuities, achieving high identification accuracy while minimizing inspection time through structured, repeatable measurement sequences.
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 allows for non-destructive detection of discontinuities that are difficult to identify otherwise, ensuring proper battery cell function and preventing malfunctions by accurately identifying actual tears and other defects without disassembling the cells.
Implementation Method 1
The first image and the second image are acquired using direct x-ray radiography
Data Source
AI summary
A system for evaluating a battery cell includes an imaging device configured to take a first image of at least part of the battery cell when the battery cell is in a first deformation state, and take a second image of the at least part of the battery cell when the battery cell is in a second deformation state. The system also includes a processor configured to analyze the first image and the second image, identify a first region of the first image that represents a suspected discontinuity, the first region corresponding to a portion of the battery cell, compare the first region of the first image to a second region of the second image, the second region corresponding to the portion of the battery cell, and determine that the suspected discontinuity is an actual discontinuity based on a difference between the first region and the second region.