Modeling Silicon-Dominant Anodes: Parametrization, Discussion, and Validation of a Newman-Type Model

IF 4.6 4区 化学 Q2 ELECTROCHEMISTRY Batteries Pub Date : 2023-11-15 DOI:10.3390/batteries9110558
A. Durdel, S. Friedrich, Lukas Hüsken, A. Jossen
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Abstract

Silicon is a promising anode material and can already be found in commercially available lithium-ion cells. Reliable modeling and simulations of new active materials for lithium-ion batteries are becoming more and more important, especially regarding cost-efficient cell design. Because literature lacks an electrochemical model for silicon-dominant electrodes, this work aims to close the gap. To this end, a Newman p2D model for a lithium-ion cell with a silicon-dominant anode and a nickel-cobalt-aluminum-oxide cathode is parametrized. The micrometer silicon particles are partially lithiated to 1200mAh/gSi. The parametrization is based on values from the electrode manufacturing process, measured values using lab cells, and literature data. Charge and discharge tests at six different C-rates up to 2C serve as validation data, showing a root-mean-squared error of about 21mV and a deviation in discharge capacity of about 1.3 , both during a 1 C constant current discharge. Overall, a validated parametrization for a silicon-dominant anode is presented, which, to the best of our knowledge, is not yet available in literature. For future work, more in-depth studies should investigate the material parameters for silicon to expand the data available in the literature and facilitate further simulation work.
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以硅为主的阳极建模:纽曼模型的参数化、讨论和验证
硅是一种很有前途的负极材料,在市面上销售的锂离子电池中已经可以找到它的身影。锂离子电池新活性材料的可靠建模和模拟正变得越来越重要,特别是在具有成本效益的电池设计方面。由于文献中缺乏硅主导电极的电化学模型,本研究旨在填补这一空白。为此,研究人员对具有硅主导阳极和镍钴铝氧化物阴极的纽曼 p2D 锂离子电池模型进行了参数化。微米级硅颗粒的部分锂化程度为 1200mAh/gSi。参数是根据电极制造过程中的数值、实验室电池的测量值和文献数据得出的。在高达 2C 的六种不同 C 速率下进行的充放电测试可作为验证数据,结果表明,在 1C 恒定电流放电过程中,均方根误差约为 21mV,放电容量偏差约为 1.3。总之,我们提出了一种经过验证的硅主导阳极参数,据我们所知,文献中还没有这种参数。在今后的工作中,应更深入地研究硅的材料参数,以扩大文献中的数据,促进进一步的模拟工作。
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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来源期刊
Batteries
Batteries Energy-Energy Engineering and Power Technology
CiteScore
4.00
自引率
15.00%
发文量
217
审稿时长
7 weeks
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