封面专题:结合数据驱动模型和机理模型预测容量和电位曲线降解(电池与超级电容器 10/2024)

IF 5.1 4区 材料科学 Q2 ELECTROCHEMISTRY Batteries & Supercaps Pub Date : 2024-10-07 DOI:10.1002/batt.202481003
Jochen Stadler, Dr. Johannes Fath, Dr. Madeleine Ecker, Prof. Arnulf Latz
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引用次数: 0

摘要

封面特写展示了锂离子电池的老化过程。它展示了各种老化模式--电极上可获得活性材料的损失或可循环锂离子的耗尽--如何影响电极之间的容量和平衡。这些变化可通过彩色编码表面直观地显示出来,彩色编码表面代表整个电池循环窗口中的电极电位,从绿色过渡到红色表示退化。这种变化会导致可测量的容量衰减和全电池电位曲线的变化,如电压差曲线所示。基础研究工作将这一机理模型与单个老化模式的数据驱动模型方法相结合,以预测各种老化条件下的容量衰减和电位曲线变化。这将有助于加强对电池老化的理解和预测,并为更精确地评估车载电池的充电状态和健康状态奠定基础。更多信息,请参阅 J. Stadler 及其合作者的研究文章(DOI: 10.1002/batt.202400211)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Cover Feature: Combining a Data Driven and Mechanistic Model to Predict Capacity and Potential Curve-Degradation (Batteries & Supercaps 10/2024)

The Cover Feature illustrates lithium-ion battery degradation. It demonstrates how individual aging modes—the loss of accessible active material from an electrode or the depletion of cyclable lithium ions—affect the capacities and balancing between the electrodes. These changes are visualized by color-coded surfaces that represent electrode potentials in the full cell′s cyclation window, transitioning from green to red to indicate degradation. Such alterations lead to a measurable capacity fade and changes in the full cell′s potential curve, as depicted by the differential voltage curve. The underlying work combines this mechanistic model with a data-driven model approach of the individual aging modes to predict both capacity fade and changes to the potential curve under various aging conditions. This will help to enhance understanding and prediction of battery degradation and can be the basis for a more precise onboard state-of-charge and state-of-health estimation of degraded batteries. More information can be found in the Research Article by J. Stadler and co-workers (DOI: 10.1002/batt.202400211).

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来源期刊
CiteScore
8.60
自引率
5.30%
发文量
223
期刊介绍: Electrochemical energy storage devices play a transformative role in our societies. They have allowed the emergence of portable electronics devices, have triggered the resurgence of electric transportation and constitute key components in smart power grids. Batteries & Supercaps publishes international high-impact experimental and theoretical research on the fundamentals and applications of electrochemical energy storage. We support the scientific community to advance energy efficiency and sustainability.
期刊最新文献
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