Graphite//LFP synthetic V vs. Q dataset (>700,000 unique curves)

Published: 19 March 2021| Version 3 | DOI: 10.17632/bs2j56pn7y.3
Matthieu Dubarry


This dataset contains more than 700,000 unique voltage vs. capacity curves. It was calculated using the mechanistic modeling approach. See “Big data training data for artificial intelligence-based Li-ion diagnosis and prognosis“ (Journal of Power Sources, Volume 479, 15 December 2020, 228806) and "Analysis of Synthetic Voltage vs. Capacity Datasets for Big Data Li-ion Diagnosis and Prognosis" (Energies, under review) for more details. This dataset was compiled with a resolution of 0.01 for the triplets and C/25 charges. This accounts for more than 5,000 different paths. Each path was simulated with at most 0.85% increases for each degradation mode. 4 Variables are included, see read me file for details and example how to use.



University of Hawai'i at Manoa


Battery Charging, Lithium Battery, Computer-Based Training