论文标题
Battx：锂离子电池的等效电路模型超过宽电流范围
BattX: An Equivalent Circuit Model for Lithium-Ion Batteries Over Broad Current Ranges
论文作者
论文摘要
先进的电池管理是锂离子电池系统的，就像大脑对人体一样。它的性能取决于快速准确的电池模型的使用。但是，由于具有预测精度或计算复杂性的斗争，主流等效电路模型和电化学模型尚未满足这一需求。由于一些新兴的电池应用在广泛的电流范围内运行，例如电动垂直起飞和着陆飞机几乎无法从文献中找到可用的模型，因此这个问题已经获得了紧迫性。我们在解决这个问题的动机中发展了本研究中的创新模型。该模型称为Battx，是一个等效电路模型，但与电解质和热动力学的单个粒子模型进行了比较，因此将其各自的优点结合在一起，以便在计算上有效，准确且在物理上可以解释。该模型设计枢轴关于利用多个电路以近似于充电/放电时近似主要的电化学和物理过程。鉴于该模型，我们开发了一种多收益的方法来设计实验并从实验数据中确定其参数。实验验证证明，Battx模型能够在低到高C速率上充电/放电的精确电压预测。
Advanced battery management is to lithium-ion battery systems as the brain is to the human body. Its performance rests on the use of battery models that are both fast and accurate. However, mainstream equivalent circuit models and electrochemical models have yet to meet this need well, due to struggle with either predictive accuracy or computational complexity. This problem has acquired urgency as some emerging battery applications running across broad current ranges, e.g., electric vertical take-off and landing aircraft, can hardly find usable models from the literature. Motivated to address the problem, we develop an innovative model in this study. Called BattX, the model is an equivalent circuit model but draws comparisons to a single particle model with electrolyte and thermal dynamics, thus combining their respective merits to be computationally efficient, accurate, and physically interpretable. The model design pivots on leveraging multiple circuits to approximate major electrochemical and physical processes in charging/discharging. Given the model, we develop a multipronged approach to design experiments and identify its parameters in groups from experimental data. Experimental validation proves that the BattX model is capable of accurate voltage prediction for charging/discharging across low to high C-rates.
