多孔电极中电位和电流的联合动力学:模型还原

IF 5.4 Q2 CHEMISTRY, PHYSICAL
Keivan Haghverdi , Dmitri L. Danilov , Grietus Mulder , Luis D. Couto , Rüdiger-A. Eichel
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引用次数: 0

摘要

多孔电极中电位和电流的动态行为对于优化锂离子电池模型的计算速度至关重要。基于偏微分方程的伪二维(P2D)模型提供了洞察力,但也带来了计算上的挑战。P2D方程可通过牛顿法或射击法等迭代算法来解决。然而,在算法开始时对固体和电解质电位进行随机猜测,可能会导致电解质相内离子电流值发散,从而增加收敛到最终解所需的计算时间。本研究提出了一种使用电偶伪电势的新型模型阶次缩减方法,以防止发散电流的发生。通过避开电解质相内离子电流的无限值,该方法简化了数学运算,加快了用于求解电池模型方程的射击法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the joint dynamics of potentials and currents in porous electrodes: Model reduction

The dynamic behavior of potentials and currents in porous electrodes is crucial for optimizing the computational speed of lithium-ion battery models. Pseudo-two-dimensional (P2D) models, based on partial differential equations, offer insight but pose computational challenges. P2D equations are tackled with iterative algorithms, like the Newton or the shooting method. Yet, initiating the algorithm with random guesses for solid and electrolyte potentials can cause diverging ionic current values inside the electrolyte phase, increasing the computation time required to converge to the final solution. This study proposes a novel model order reduction using a galvanic pseudo-potential to prevent the occurrence of diverging currents. By sidestepping infinite values for ionic current inside the electrolyte phase, the method streamlines math and speeds up the shooting method used for solving battery model equations.

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来源期刊
CiteScore
9.10
自引率
0.00%
发文量
18
审稿时长
64 days
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