驱动嵌入型电极中活性材料退化的群体效应
Population Effects Driving Active Material Degradation in Intercalation Electrodes
AI总结：
该研究借鉴群体遗传学的适应度演化思想，建立活性材料粒子群体退化模型，以刻画粒子尺寸、非均匀退化及粒子间贡献对电极容量损失和电压特征的影响。
摘要：
在电池建模中，电极在宏观尺度上被离散化，每个体积内采用单个代表性粒子。这种做法缺乏描述电极中粒子间相互作用的准确物理机制。为弥补这一不足，我们借鉴群体遗传学中适应度演化的思想，构建了一个描述电池活性材料粒子群体退化演化的模型；在该思想中，系统状态取决于对系统有贡献的每个粒子的健康状况。借助适应度表述，该模型纳入了粒子尺寸效应以及电池循环过程中在粒子内累积的非均匀退化效应，从而解释不同的活性材料退化机制。在粒子尺度上，退化在活性粒子群体中呈非均匀进展，这可从适应度与退化之间的自催化关系观察到。电极层面的退化由粒子层面退化的各种贡献形成，尤其来自较小粒子。研究表明，特定的粒子层面退化机制可与容量损失和电压曲线中的特征信号相关联。反之，电极层面现象中的某些特征也可帮助认识不同粒子层面退化机制的相对重要性。
英文摘要：
In battery modeling, the electrode is discretized at the macroscopic scale with a single representative particle in each volume. This lacks the accurate physics to describe interparticle interactions in electrodes. To remedy this, we formulate a model that describes the evolution of degradation of a population of battery active material particles using ideas in population genetics of fitness evolution, where the state of a system depends on the health of each particle that contributes to the system. With the fitness formulation, the model incorporates effects of particle size and heterogeneous degradation effects which accumulate in the particles as the battery is cycled, accounting for different active material degradation mechanisms. At the particle scale, degradation progresses nonuniformly across the population of active particles, observed from the autocatalytic relationship between fitness and degradation. Electrode-level degradation is formed from various contributions of the particle-level degradation, especially from smaller particles. It is shown that specific mechanisms of particle-level degradation can be associated with characteristic signatures in the capacity-loss and voltage profiles. Conversely, certain features in the electrode-level phenomena can also provide insight into the relative importance of different particle-level degradation mechanisms.
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