Data for: Equivalent Circuit Model Recognition of Electrochemical Impedance Spectroscopy via Machine Learning

Published: 31-03-2020| Version 1 | DOI: 10.17632/dzkkv87njb.1
Contributors:
Shan Zhu,
Xinyang Sun,
Xiaoyang Gao,
Jianrong Wang,
naiqin zhao,
Junwei Sha

Description

1. EIS-Data.csv: The original EIS is extracted from the literature and discretized into readable data points. All these EIS come from electrochemical energy storage devices, especially lithium-ion batteries and supercapacitors. 2. Test-Data-Prob.csv: The probability for each model type samples in test data.