Preliminary Investigation of Provability of Li-Ion Macroscale Models Subject to Capacity Fade
Preliminary Investigation of Provability of Li-Ion Macroscale Models Subject to Capacity Fade
复制标题
容量衰减的锂离子宏观模型可证明性的初步研究
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
S. Onori
中科院分区：
文献类型：
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作者：
H. Arunachalam;I. Battiato;S. Onori
估计锂离子电池的剩余使用寿命对于它们作为储能设备在静态和汽车应用中的应用至关重要。因此，了解基于化学、使用模式和操作环境的电池退化是很重要的。在过去的几十年里，人们发现了影响锂离子电池性能和耐用性的不同退化机制。其中，固体-电解液界面层的生长是导致容量衰减的主要原因。fl。在这篇文章中，我们首次引入了一个框架，该框架评估了基于物理的宏观模型在捕捉电池动态作为其健康状态(SOH)函数时的预测能力。利用加速老化实验数据，确定了经典电化学模型的适用条件。这种分析是使用相图方法进行的，该方法涉及控制锂离子电池内部微尺度动力学的参数。
Estimating the remaining useful life of lithium-ion batteries is crucial for their application as energy storage devices in sta-tionary and automotive applications. It is therefore important to understand battery degradation based on chemistry, usage pat-terns, and operating environment. Different degradation mechanisms that affect performance and durability of lithium-ion batteries have been identified over the past decades. Amongst them, the solid-electrolyte interface (SEI) layer growth has been observed to be the most influential cause of capacity fading. In this paper, we introduce for the very first time, a framework that eval-uates the predictive ability of physics-based macroscopic models in capturing battery dynamics as function of their state-of-health (SoH). Using data from accelerated aging experiments, we identify the applicability conditions of classical electrochemical models. This analysis is performed using a phase diagram approach that involves parameters controlling the micro-scale dynamics inside the lithium-ion cell.