锂离子电池的电压弛豫表征方法

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引用次数: 0

摘要

本研究评估了表征锂离子电池电压弛豫的三种方法:电压与时间、电压与时间的导数以及电压与时间的二次导数。前两种都是成熟的方法,而据我们所知,第三种方法从未被研究过。为了评估每种方法的潜力,我们对不同放电深度、放电制度、健康状态、温度和化学性质的数据进行了特征描述。研究结果表明,既有方法无法全面描述电压弛豫,而新方法则有望提供定量特征来比较弛豫行为。然而,由于该方法在化学、速率和温度方面缺乏一致性,依赖于大量过滤,且无法识别容量损失趋势,因此在应用方面存在严重的局限性,这一切都阻碍了其广泛应用的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Voltage relaxation characterization methods in lithium-ion batteries

This study evaluated three approaches for characterizing voltage relaxation in lithium-ion batteries: voltage vs. time, the derivative of voltage vs. time, and the second derivative of voltage vs. time. The first two are well-established approaches, whereas the third was never investigated to our knowledge. To assess the potential of each approach, characterizations were performed on data with various depth-of-discharges, regimes, state of healths, temperatures, and chemistries. Findings indicate that the established approaches do not comprehensively characterize voltage relaxation whereas the novel approach demonstrated promise in providing a quantitative feature to compare relaxation behaviors. However, it was found to have severe limitations in its application due to its lack of consistency between chemistry, rates, and temperatures, reliance on heavy filtering, and inability to identify trends in capacity loss, all preventing any potential for widespread application.

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