Dataset: Practical considerations and limitations of online EIS-based battery internal temperature estimation in traction applications

This research aims to find an universally applicable impedance feature and
frequency range for electrochemical impedance spectroscopy (EIS)-based internal
cell temperature estimation independent of of cell capacity and chemistry. Based
on this meta-analysis of 68 publications comprising 83 cells, extended by our
own measurements, we propose the impedance phase, evaluated at frequencies
between 100 Hz and 1 kHz, as an optimal estimator for internal cell temperature.

This repository contains three datasets of battery EIS data and derived
parameters compiled from multiple published studies and our own experimental
data:

1. Dataset A: Temperature sensitivities of 86 EIS-based internal cell
temperature estimators
2. Dataset B: Nyquist curve features of 44 cells
3. EIS: EIS measurements from six cells as a function of temperature

For detailed information about data structure, experimental protocols, and data
processing methodologies, refer to the README.md file included with the dataset.

Corresponding publication: https://doi.org/10.1016/j.jpowsour.2025.239111

本研究旨在找到一种普适性的阻抗特征与频率范围，用于基于电化学阻抗谱（Electrochemical Impedance Spectroscopy, EIS）的电池单体内部温度估算，且该方法不受电池容量与电芯化学体系的限制。本研究基于涵盖83颗电芯的68篇文献的元分析，并补充自有实测数据，提出在100 Hz至1 kHz频率区间下测算的阻抗相位，可作为电池单体内部温度的最优估算指标。
本数据集仓库包含三类电池EIS数据及衍生参数，均整合自多篇已发表研究与本团队的实测数据：
1. 数据集A：86种基于EIS的电池单体内部温度估算方法的温度敏感性数据
2. 数据集B：44颗电芯的奈奎斯特曲线特征数据
3. EIS数据集：6颗电芯在不同温度下的EIS实测数据
如需了解数据结构、实验流程与数据处理方法的详细信息，请参阅数据集附带的README.md文件。
相关研究论文：https://doi.org/10.1016/j.jpowsour.2025.239111