The microstructure of porous electrodes has a significant impact on the performance of lithium-ion batteries (LIBs). The critical challenge in theoretical research of porous electrodes is to construct an electrode model that properly describes its microstructure while ensuring solving efficiency. In this work, a particle packing electrode (PPE) model is used to analyze the charging dynamics of LIBs, which is constructed based on the randomness distribution of the active materials. After accurately predicting the experimental data, the PPE model illustrates two key factors governing the C-rate performance: The C-rate performance depends on the Li transfer in active material at low C-rate and depends on Li transfer in the electrolyte at high C-rate. By optimizing the uniformity of the particle size and the orderliness of the pore structure, LIBs achieve improved performance. This model offers novel possibilities for designing and optimizing electrode microstructures of LIBs.

中文翻译：

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用于锂离子电池微观结构优化的颗粒堆积电极模型


多孔电极的微观结构对锂离子电池（LIB）的性能具有重大影响。多孔电极理论研究的关键挑战是构建一个能够正确描述其微观结构并同时保证求解效率的电极模型。在这项工作中，颗粒堆积电极（PPE）模型用于分析LIB的充电动力学，该模型是基于活性材料的随机分布而构建的。在准确预测实验数据后，PPE模型说明了控制倍率性能的两个关键因素：倍率性能取决于低倍率时活性材料中的锂转移，以及高倍率时取决于电解质中锂的转移。 -速度。通过优化颗粒尺寸的均匀性和孔隙结构的有序性，LIB 实现了性能的提高。该模型为设计和优化锂离子电池电极微观结构提供了新的可能性。