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在大型应用中使用离子电池的简化机械衰老模型

Zhe Lv^1,2, Huinan Si³, Zhe Yang¹

¹Beijing HyperStrong Technology Co., Ltd., Building 2C, No.9 Fenghao East Road, Haidian District, Beijing 100094, China.

Materials (Basel, Switzerland)

|March 27, 2025

概括

这项研究引入了一种新的机械和工程模型,用于预测铁酸电池的寿命,这对于可再生能源储存至关重要. 简化工程模型准确地预测了电池退化,并大大缩短了计算时间.

科学领域:

电化学电化学电化学
材料科学材料科学材料科学
储能储能储能储能储能储能

背景情况:

储能系统对于电网稳定至关重要,因为间歇性可再生能源.
目前的电池老化模型缺乏超出测量数据的预测准确性,并且对于实际使用来说是复杂的.
准确的电池寿命预测对于大规模的储能部署至关重要.

研究的目的:

开发一种用于预测铁酸盐 (LFP) 电池寿命的机械模型.
将机械模型简化为适用于大规模应用的工程模型.
为了验证工程模型的准确性和计算效率.

主要方法:

根据纽曼的伪二维模型开发了一种机械模型,其中包含了细胞拆解的微参数.
占了关键的衰老机制:固体电解质相间增长,涂层和气体生成.
将机械模型简化为工程模型,使用两个核心参数:活性的损失和活性材料的损失.

主要成果:

与实验结果相比,机械模型的平均预测误差为±1%.
简化工程模型表现出高准确度,在89.78%的健康状况 (SOH) 处,误差为-0.17%.
工程模型的计算时间从8.12小时大幅缩短到10秒.

结论:

开发的机械和工程模型为LFP电池提供了准确和高效的电池寿命预测.
简化的工程模型非常适合现场和大规模的储能应用.
这项工作解决了当前电池老化模型的关键局限性,提高了可再生能源整合的可靠性.

关键词:

衰老的衰老衰老的衰老这是一个大规模的应用程序.离子电池是离子电池的一种.机械模型机械模型模型简化模型简化

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