Li-ion Batteries EIS measurements

The data consists primarily of Electrochemical Impedance Spectroscopy (EIS) measurement results on Lithium Iron Phosphate (LFP) batteries at various State of Charge (SoC) value. The LFP batteries to obtain these data are 600 mAh. The dataset includes the results of repeated EIS measurements using various battery cell charging cycles. This dataset allow to study the frequency-domain properties of batteries. In addition, they may be used to create prediction approaches and train machine learning models to create assessment methods for the reliable and effective management of rechargeable battery devices. Researchers in the fields of electrochemical studies, power generation technologies, and energy storage systems can benefit from these data. Additionally, data can also be valuable for industries such as the manufacturing of consumer electronics, the development of power systems, and the advancement of electric transportation.

本数据集核心为不同荷电状态（State of Charge，SoC）下磷酸铁锂（Lithium Iron Phosphate，LFP）电池的电化学阻抗谱（Electrochemical Impedance Spectroscopy，EIS）测试结果。用于采集本数据集的磷酸铁锂电池额定容量为600毫安时（mAh）。本数据集涵盖了不同充电循环周期下多次重复开展的电化学阻抗谱测试结果，可用于研究电池的频域特性。此外，该数据集还可用于构建预测方法，以及训练机器学习模型以开发面向可充电电池装置可靠高效管理的评估方案。电化学研究、发电技术及储能系统领域的科研人员均可从本数据集获益。同时，本数据集在消费电子制造、电力系统研发以及电动交通技术升级等行业亦具备应用价值。

搜集汇总

背景与挑战

背景概述

该数据集主要包含磷酸铁锂（LFP）电池在不同充电状态下的电化学阻抗谱（EIS）测量结果，数据来自600 mAh电池并涉及重复测量。它可用于研究电池频域特性、开发预测方法和训练机器学习模型，适用于电化学研究、能源存储系统以及消费电子和电动汽车等行业。