Regeneration of Lithium-ion battery impedance using a novel machine learning framework and minimal empirical data

This repo includes "Regeneration of Lithium-ion battery impedance using a novel machine learning framework and minimal empirical data" article's code and data. The details of the folders are as follows:

• lithium-ion-impedance-dataset: Empirical Impedance data sets
• dataProcessing&visualization: Code for data visualization and preprocessing
• model-Zphz: Machine Learning Models and Code for Zphz
• model-Idc: Machine Learning Models and Code for Idc
• finalComparison: ML generated Zphz and Idc

Cite: Temiz, S., Kurban, H., Erol, S., & Dalkilic, M. M. (2022). Regeneration of Lithium-ion battery impedance using a novel machine learning framework and minimal empirical data. Journal of Energy Storage, 52, 105022.

Link: https://www.sciencedirect.com/science/article/abs/pii/S2352152X22010246?via%3Dihub