Code for: Electrochemical Characterization Tools for Lithium-ion Batteries

The MATLAB codes developed to extract lithium-ion battery performance and health metrics from diagnostic tests. The MATLAB codes replicate the results shown in the journal paper: "Electrochemical Characterization Tools for Lithium-ion Batteries" by S.Y. Sara Ha, Gabriele Pozzato, and Simona Onori [1]. This paper is under review by the Journal of Solid State Electrochemistry. The diagnostic tests considered are the capacity test, high pulse power characterization (HPPC) test, and electrochemical impedance spectroscopy (EIS). The diagnostic tests used in our codes come from a publicly available battery aging dataset [2] that was generated from INR21700-M50T cylindrical cells with NMC811 cathode and graphite-silicon anode. The cells were subjected to a constant current (CC)-constant voltage (CV) charging protocol and urban dynamometer driving schedule (UDDS) discharge driving profile to replicate electric vehicle driving scenarios. To view the original dataset: https://osf.io/qsabn/?view_only=2a03b6c78ef14922a3e244f3d549de78 References:[1] S.Y. Sara Ha, G. Pozzato, and S. Onori, “Electrochemical Characterization Tools for Lithium-ion Batteries,” Journal of Solid State Electrochemistry, Under Review.[2] G. Pozzato, A. Allam, and S. Onori, “Lithium-ion battery aging dataset based on electric vehicle real-driving profiles,” Data in Brief, vol. 41, p. 107995, Apr. 2022, doi: 10.1016/j.dib.2022.107995.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV