锂离子电池漏液预测方法、装置、设备及介质

By calculating the static voltage difference degradation, charging voltage difference degradation, and discharge voltage difference degradation of lithium-ion batteries, the problem of inaccurate prediction of lithium-ion battery leakage in existing technologies is solved, realizing multi-dimensional assessment and accurate early warning, and improving the accuracy of safety detection.

CN116404276BActive Publication Date: 2026-07-17MIRATTERY CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
MIRATTERY CO LTD
Filing Date
2023-04-11
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing methods for predicting leakage in lithium-ion batteries are not accurate enough and cannot effectively assess the pressure difference deviation of individual cells under different operating conditions, resulting in inaccurate safety test results.

Method used

By acquiring the polymer battery parameters of lithium-ion batteries under preset conditions, the static voltage difference degradation, charging voltage difference degradation, and discharging voltage difference degradation are calculated. Based on these parameters, the target cell with leakage fault is identified, and an early warning signal is generated.

Benefits of technology

It enables multi-dimensional assessment of lithium-ion battery leakage faults, improves the accuracy of prediction results, can promptly detect potential leakage risks, and avoids safety accidents caused by leakage.

✦ Generated by Eureka AI based on patent content.

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Abstract

本申请提供一种锂离子电池漏液预测方法、装置、设备及介质,涉及电池安全技术领域。该方法包括:获取待预测锂离子电池在预设状态下的聚合电池参数,待预测锂离子电池包括多个电芯单体;根据待预测锂离子电池的聚合电池参数,分别计算待预测锂离子电池对应的静态压差劣化度、充电压差劣化度以及放电压差劣化度,并据此确定待预测锂离子电池中存在漏液故障的目标电芯单体,并生成针对目标电芯单体的预警信号,实现了可以基于这三个参数多维度反映各电芯单体在不同工作状态下的压差偏离度,进而基于这三个参数可以进一步确定待预测锂离子电池中存在漏液故障的目标电芯单体,实现多维度评估,可以提高预测结果的准确性。
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