Battery diagnosis method and battery testing apparatus using same

WO2026038710A1PCT designated stage Publication Date: 2026-02-19LG ENERGY SOLUTION LTD
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Patent Information

Application Number
PCT/KR2025/009936
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-08-12
Filing Date
2025-07-09
Publication Date
2026-02-19

AI Technical Summary

Technical Problem

Existing methods for diagnosing abnormal cells in battery modules during performance tests are inefficient, relying on visual comparisons of voltage deviations or direct visualization of voltage data, which do not effectively identify cells with abnormal behavior.

Method used

A battery testing device and method that analyze voltage and capacity changes using differential graphs to identify abnormal cells by comparing voltage and capacity trends across cells, determining deviations exceeding a threshold and identifying peaks and peak sizes to pinpoint abnormal cells within a battery module.

Benefits of technology

Efficiently identifies abnormal cells within battery modules by analyzing differential graphs of capacity and voltage changes, distinguishing normal from abnormal behavior, thereby improving the accuracy of battery performance testing.

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Abstract

A battery diagnosis method according to an embodiment of the present invention relates to a method for diagnosing a cell abnormality during charge / discharge testing for a module including a plurality of cells, wherein the battery diagnosis method may comprise the steps of: collecting battery-state-related measurement values for respective cycles of the charge / discharge testing; determining whether a voltage deviation between cells within the module among the battery-state-related measurement values is greater than or equal to a set threshold value; if the voltage deviation between cells within the module is greater than or equal to the set threshold value, calculating data representing the amount of capacity changes in the module relative to the amount of changes in a charging voltage or a discharging voltage; and identifying a trend of the data representing the amount of capacity changes in the module relative to the amount of changes in the charging voltage or the discharging voltage, so as to determine an abnormal cell within the module.
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Citation Information

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