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 Sara Ha, Gabriele Pozzato, and Simona Onori [1]. 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. Ha, G. Pozzato, and S. Onori, “Electrochemical Characterization Tools for Lithium-ion Batteries,” Journal of Solid State Electrochemistry, 2023. Accepted.
[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.