Within the framework of this contribution, the implications of intensive‐dry mixing on the resulting cathode microstructure and hence electrochemical performance was numerically investigated. In this regard, characterisation as well as scale‐resolving electrochemical performance simulations were carried out. The basis for these numerical investigation were computer generated cathode geometries, generated by means of a discrete element method simulation model presented in our previous work. Consequently, three different stages of comminution of the conductivity additive during intensive dry mixing with nickel rich active material were incorporated into computational half cells and classified based on the simple quality parameter bulk density. Furthermore, the possible coating phenomenon occurring during the process to which the bulk density measurements are not susceptible, was modelled with the help of a numerical parameter called the coating factor. It was found that, bulk density of cathode blends which is a rather trivial parameter to measure from intensive dry mixed blends, could be strongly correlated to cathode performance under the consideration of solvent free manufacturing. The insights derived from the performance investigations have been formulated as guidelines for cell design.

中文翻译：

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无溶剂强化干混 NMC 锂离子电池正极分析：性能决定因素的数值研究

在此贡献的框架内，对强烈干混合对所得阴极微观结构以及电化学性能的影响进行了数值研究。在这方面，进行了表征以及尺度解析电化学性能模拟。这些数值研究的基础是计算机生成的阴极几何形状，通过我们之前的工作中提出的离散元方法模拟模型生成。因此，在与富镍活性材料强烈干混过程中导电添加剂粉碎的三个不同阶段被纳入计算半电池中，并根据简单的质量参数堆积密度进行分类。此外，在堆积密度测量不受影响的过程中可能发生的涂层现象，借助称为涂层系数的数值参数进行了建模。研究发现，在考虑无溶剂制造的情况下，阴极混合物的堆积密度是从密集的干混合混合物中测量的一个相当微不足道的参数，可能与阴极性能密切相关。从性能研究中得出的见解已被制定为电池设计的指南。