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Quantifying the factors limiting rate performance in battery electrodes

机译:量化限制电池电极性能的因素

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摘要

One weakness of batteries is the rapid falloff in charge-storage capacity with increasing charge/discharge rate. Rate performance is related to the timescales associated with charge/ionic motion in both electrode and electrolyte. However, no general fittable model exists to link capacity-rate data to electrode/electrolyte properties. Here we demonstrate an equation which can fit capacity versus rate data, outputting three parameters which fully describe rate performance. Most important is the characteristic time associated with charge/discharge which can be linked by a second equation to physical electrode/electrolyte parameters via various rate-limiting processes. We fit these equations to ~200 data sets, deriving parameters such as diffusion coefficients or electrolyte conductivities. It is possible to show which rate-limiting processes are dominant in a given situation, facilitating rational design and cell optimisation. In addition, this model predicts the upper speed limit for lithium/sodium ion batteries, yielding a value that is consistent with the fastest electrodes in the literature.
机译:电池的一个缺点是电荷存储容量随充电/放电速率的增加而迅速下降。速率性能与电极和电解质中与电荷/离子运动相关的时标有关。但是,不存在将容量率数据链接到电极/电解质特性的通用可拟合模型。在这里,我们演示了一个适合容量与速率数据的方程式,输出了三个可以完全描述速率性能的参数。最重要的是与充电/放电相关的特征时间,可以通过各种速率限制过程将第二方程式与物理电极/电解质参数关联起来。我们将这些方程式拟合到约200个数据集,得出诸如扩散系数或电解质电导率的参数。可以显示在给定情况下哪些速率限制过程占主导地位,从而有助于合理设计和细胞优化。此外,该模型还预测了锂/钠离子电池的最高速度限制,其值与文献中最快的电极一致。

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