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来自连续循环实验的金属电池降解数据集

Maitri Uppaluri^1,2, Wenting Ma¹, Le Xu^1,2

¹Energy Sciences and Engineering, Stanford University, Stanford, CA, USA.

|July 21, 2025

概括

本研究提出了金属电池性能数据集,详细介绍了循环中的电流,电压和容量. 这些数据有助于开发电池寿命和耐用性的预测模型.

科学领域:

材料科学材料科学材料科学
电化学电化学电化学
储能储能储能储能储能储能

背景情况:

金属电池提供高能量密度,但在寿命和安全性方面面临挑战.
降解机制,如涂层和电解质耗尽限制周期寿命.

研究的目的:

为了呈现一个全面的数据集的金属电池循环性能.
为开发电池寿命和耐用性的预测模型提供数据.

主要方法:

从23个不同配置的金属电池单元收集了电流和电压数据.
使用常流 (CC) 放电和常流-常压 (CC-CV) 充电协议执行连续循环.
从收集的电化学数据计算电池容量.

主要成果:

数据集包括电压,电流和23个电池每个周期的计算容量.
数据捕捉了归因于已知的降解机制的容量损失.
电池在室温下在各种C级和电压切断下进行了测试.

结论:

这一数据集对于研究金属电池退化有价值.
能够开发模型来预测电池寿命并优化电池设计.
促进加速设计改进,以提高电池性能和耐用性.

关键词:

产能损失产能损失产能损失降解降解是一种降解.金属电池数据集金属电池数据集

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