Cracking predictions of lithium-ion battery electrodes by X-ray computed tomography and modelling
Cracking predictions of lithium-ion battery electrodes by X-ray computed tomography and modelling
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DOI：
10.1016/j.jpowsour.2022.231119
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发表时间：
2022-02-19
影响因子：
9.2
通讯作者：
Shearing, Paul R.
中科院分区：
文献类型：
--
作者：
Boyce, Adam M.;Martinez-Paneda, Emilio;Shearing, Paul R.
锂离子电池电极的断裂被发现有助于容量衰减并减少电池的寿命。传统的电池断裂模型仅限于考虑单个理想化颗粒;在这里，先进的X射线计算机断层扫描（CT）成像，电化学力学模型和相场断裂框架相结合，以预测真实电池电极微结构的电极颗粒中的空隙驱动断裂。所示的电极表现出高度不均匀的电化学和断裂响应，这取决于颗粒尺寸和距离分隔器/集电器。该模型能够预测由于扩大的循环电压窗口，作为电极厚度的函数的开裂敏感性，和放电速率的损伤敏感性增加的开裂。该框架提供了一个平台，有助于更深入地了解电极断裂，并能够设计具有更高容量和改善降解特性的下一代电极。
Fracture of lithium-ion battery electrodes is found to contribute to capacity fade and reduce the lifespan of a battery. Traditional fracture models for batteries are restricted to consideration of a single, idealised particle; here, advanced X-ray computed tomography (CT) imaging, an electro-chemo-mechanical model and a phase field fracture framework are combined to predict the void-driven fracture in the electrode particles of a realistic battery electrode microstructure. The electrode is shown to exhibit a highly heterogeneous electrochemical and fracture response that depends on the particle size and distance from the separator/current collector. The model enables prediction of increased cracking due to enlarged cycling voltage windows, cracking susceptibility as a function of electrode thickness, and damage sensitivity to discharge rate. This framework provides a platform that facilitates a deeper understanding of electrode fracture and enables the design of next-generation electrodes with higher capacities and improved degradation characteristics.