Investigation of Path‐Dependent Degradation in Lithium‐Ion Batteries**,Batteries & Supercaps

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Investigation of Path‐Dependent Degradation in Lithium‐Ion Batteries**
Batteries & Supercaps ( IF 5.1 ) Pub Date : 2020-08-25 , DOI: 10.1002/batt.202000160
Trishna Raj ₁ , Andrew A. Wang _{1,

2} , Charles W. Monroe _{1,

2} , David A. Howey _{1,

2}

Affiliation

Models that predict battery lifetime require knowledge of the causes of degradation and operating conditions that accelerate it. Batteries experience two ageing modes: calendar ageing at rest and cyclic ageing during the passage of current. Existing empirical ageing models treat these as independent, but degradation may be sensitive to their order and periodicity – a phenomenon that has been called “path dependence”. This experimental study of path dependence probes whether interactions between ageing conditions can impact a battery's state of health. Groups of graphite/NCA 18650 lithium‐ion cells were exposed to load profiles consisting of similar proportions of calendar and cyclic ageing applied in various orders. Load profiles at higher C‐rates exhibited path dependence, which differential voltage analysis correlates with increased anode degradation. These results suggest that more accurate ageing models should include the possible coupling between calendar and cyclic ageing modes.

中文翻译：

锂离子电池中与路径有关的降解研究**

预测电池寿命的模型需要了解退化的原因和加速其运行的条件。电池经历两种老化模式：静止时的日历老化和电流通过期间的循环老化。现有的经验老化模型将它们视为独立的，但是退化可能对其顺序和周期性敏感（这种现象被称为“路径依赖性”）。这项有关路径依赖性的实验研究探讨了老化条件之间的相互作用是否会影响电池的健康状态。石墨/ NCA 18650锂离子电池组暴露于负载曲线，该负载曲线包括以不同顺序施加的相似比例的日历和循环老化。较高C速率下的负载曲线显示出路径依赖性，差分电压分析与阳极退化加剧相关。这些结果表明，更准确的老化模型应包括日历和循环老化模式之间的可能耦合。

更新日期：2020-08-25

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