论文标题
用于预测和优化电池电池速率性能的定量分析模型
A Quantitative Analytical Model for Predicting and Optimizing the Rate Performance of Battery Cells
论文作者
论文摘要
设计锂离子可充电电池电池的一个重要目标是在不损害能量密度的情况下最大化其速率性能，这主要是通过目前计算昂贵的数值模拟来实现的。在这里，我们提出了一个简单的分析模型，用于预测电池传输限制电池电池的速率性能，而无需任何拟合参数。它表现出非常好的一致性，与在广泛的放电速率和电极厚度上的模拟非常好，并提供> 10 $^5 $乘以的速度。模型预测的最佳电极性能与模拟结果相差不到10％，这表明它是细胞级电池架构设计的有吸引力的计算工具。该模型还提供了有关提高厚电极速率性能的实用方法的重要见解，包括避免使用LifePo $ _4 $和Li $ _4 $ _4 $ _4 $ _5 $ _5 $ _5 $ o $ _ {12} $，其开放型电势对电荷的状态不敏感，对质合金属Anode的状态不敏感，并利用了质量金属固定的厚度厚度厚度厚度厚度厚度为厚的厚度厚度。
An important objective of designing lithium-ion rechargeable battery cells is to maximize their rate performance without compromising the energy density, which is mainly achieved through computationally expensive numerical simulations at present. Here we present a simple analytical model for predicting the rate performance of battery cells limited by electrolyte transport without any fitting parameters. It exhibits very good agreement with simulations over a wide range of discharge rate and electrode thickness and offers a speedup of >10$^5$ times. The optimal electrode properties predicted by the model are of less than 10% difference from simulation results, suggesting it as an attractive computational tool for the cell-level battery architecture design. The model also offers important insights on practical ways to improve the rate performance of thick electrodes, including avoiding electrode materials such as LiFePO$_4$ and Li$_4$Ti$_5$O$_{12}$ whose open-circuit potentials are insensitive to the state of charge and utilizing lithium metal anode to synergistically accelerate electrolyte transport within thick cathodes.
