Research Data:

Database of Lithium-Ion Battery Aging: Degradation Modes, Electrode Resistance Rise, and Impedance

Accurate modeling of lithium-ion batteries (LiBs) benefits from detailed knowledge of degradation modes (DMs) and electrode impedance rise, information that is currently unavailable as an open-access dataset. This work presents a comprehensive three-electrode NMC-graphite LiB aging study conducted over nine months, including eleven checkups. Each checkup comprises pseudo-open-circuit voltage measurements, hybrid pulse power characterization, and electrochemical impedance spectroscopy at varying states of charge and temperature. The published dataset not only includes raw data but also provides labels and evaluation scripts for DMs, electrode resistance, impedance, and equivalent circuit model parameters. This dataset is poised to accelerate the development of advanced battery models and fast-charging strategies and can serve as a robust validation dataset for data-driven models. Notably, this dataset is the longest-lasting and most comprehensive, including three-electrode configurations, making it an invaluable resource for researchers and engineers in the field of battery technology.