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首页> 外文会议>Charging amp; infrastructure symposium 2018 >DC Resistance Analysis Based on Discharge Curve Analysis for Life Prediction of Lithium-Ion Batteries
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DC Resistance Analysis Based on Discharge Curve Analysis for Life Prediction of Lithium-Ion Batteries

机译：基于放电曲线分析的直流电阻分析对锂离子电池寿命的预测

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摘要

The non-destructive DC internal resistance analysis technique was developed. This analysis is based on a physical model and can evaluate the resistance of the positive electrode, the negative electrode, and the residual ohmic resistance. Previously, the authors developed the discharge curve analysis technique that can evaluate the factors of capacity fade. These factors are (1) usable mass of the active materials of the positive and negative electrodes and (2) lithium-loss by side reactions. Also, the authors proposed the capacity-fading prediction based on this analysis, which showed more accurate predictions than the conventional "square root time rule". In this work, the authors improved the analysis technique to deal with both capacity-fade and resistance rise. It consists of 3 steps. Step 1 is to measure the specific discharge curves and resistance curves of the positive and negative electrodes with the half-cells. Here, the resistance curve means the relation between discharged capacity and internal resistance. Step 2 is to reproduce experimental discharge curves of the full-cells based on the previously proposed discharge curve analysis. Step 3 is to reproduce experimental resistance curves of the full-cells base on the model equations, and fixed parameters of (3) charge-transfer resistance ratio on the unit reaction area and (4) residual ohmic resistance. This analysis was applied to the results of the calendar life test in which the 0.3 Ah class 18650-type lithium-ion cells were stored at 25 or 50 degree Celsius at 3.83 V. The discharge curves and resistance curves of the cells were measured every 30 days. The measured curves of the cells in both the initial state and stored states were well reproduced by the analysis and the degradation factors were evaluated. The results showed that the main factor of capacity-fade was lithium-ion loss by side reactions, and the main factor of resistance rise was the charge-transfer resistance on the positive electrode. Moreover, the factor breakdown showed both decrease of the reaction area and surface degeneration of active materials were involved in the charge-transfer resistance rise on the positive electrode.
机译：开发了无损直流内阻分析技术。该分析基于物理模型，并且可以评估正极，负极的电阻和残余欧姆电阻。以前，作者开发了可以评估容量衰减因素的放电曲线分析技术。这些因素是（1）正负极活性物质的可用质量和（2）副反应引起的锂损失。同样，作者基于此分析提出了容量衰减预测，它显示出比常规“平方根时间规则”更准确的预测。在这项工作中，作者改进了分析技术以应对容量衰减和阻力上升。它包括3个步骤。步骤1是使用半电池测量正负电极的比放电曲线和电阻曲线。在此，电阻曲线是指放电容量与内部电阻之间的关系。步骤2是根据先前提出的放电曲线分析来重现全电池的实验放电曲线。步骤3是根据模型方程式和（3）单位反应面积上的电荷转移电阻比和（4）残余欧姆电阻的固定参数来复制全电池的实验电阻曲线。此分析应用于日历寿命测试的结果，其中0.3 Ah级18650型锂离子电池在3.83 V的25或50摄氏度下存储。每30个电池测量一次放电曲线和电阻曲线天。通过分析可以很好地再现细胞在初始状态和储存状态下的测量曲线，并评估降解因子。结果表明，容量衰减的主要因素是副反应引起的锂离子损失，而电阻上升的主要因素是正极上的电荷转移电阻。此外，因子分解表明反应面积的减少和活性材料的表面变性都与正极上电荷转移电阻的增加有关。

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  • 会议地点 Mainz(DE)
  • 作者

    Kohei Honkura; Masanari Oda; Takanori Yamazoe; Shigeki Makino; Takefumi Okumura;

  • 作者单位

    Hitachi, Ltd., Research and Development Group, 7-1-1 Omika, Hitachi, Ibaraki, 319-1292 Japan;

    Hitachi, Ltd., Research and Development Group, 7-1-1 Omika, Hitachi, Ibaraki, 319-1292 Japan;

    Hitachi, Ltd., Research and Development Group, 7-1-1 Omika, Hitachi, Ibaraki, 319-1292 Japan;

    Hitachi, Ltd., Research and Development Group, 7-1-1 Omika, Hitachi, Ibaraki, 319-1292 Japan;

    Hitachi, Ltd., Research and Development Group, 7-1-1 Omika, Hitachi, Ibaraki, 319-1292 Japan;

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