Battery image analysis device and operation method thereof

The battery image analysis device uses a deep learning model to standardize battery image brightness and size, enhancing analysis efficiency and accuracy by extracting specific configurations and diagnosing battery states using a GAN algorithm.

WO2025249842A1PCT designated stage Publication Date: 2025-12-04LG ENERGY SOLUTION LTD
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Patent Information

Application Number
PCT/KR2025/007053
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-05-28
Filing Date
2025-05-26
Publication Date
2025-12-04

AI Technical Summary

Technical Problem

Existing methods for analyzing battery images, such as CT images, are inefficient and prone to errors due to variations in image brightness and size caused by different scanning equipment and environments, requiring manual adjustment and separate analysis methods for each image.

Method used

A battery image analysis device utilizing a deep learning model based on style transfer to convert images to a standardized brightness and size, extracting specific battery configurations, and diagnosing the battery state using coordinate data and a Generative Adversarial Network (GAN) algorithm.

Benefits of technology

Reduces analysis time and minimizes human intervention by standardizing image analysis across varying environments, improving accuracy and efficiency in diagnosing battery conditions.

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Abstract

A battery image analysis device according to one embodiment disclosed in the present document may comprise: an acquisition unit for acquiring a first image of a battery; a conversion unit for converting the first image into a second image corresponding to a designated style including at least one of the brightness and size of the image on the basis of a deep-learning model based on style transfer; a component extraction unit for extracting an image of each component of the battery on the basis of a plurality of pixels included in the second image; a coordinate data acquisition unit for acquiring coordinate data of the pixels of each component; and a diagnosis unit for diagnosing the state of the battery on the basis of the coordinate data.
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Citation Information

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