Graphite//NCA synthetic V vs. Q & duty cycle datasets

Published: 19 March 2021| Version 1 | DOI: 10.17632/2h8cpszy26.1
Matthieu Dubarry


These datasets were 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 The V vs. Q dataset (Gr-NCA_Co33_cha_n) 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. The dataset contains more than 700,000 unique voltage vs. capacity curves. 4 Variables are included, see corresponding read me file for details and example how to use. The duty cycle dataset is composed of close to 125,000 duty cycles with one voltage curve at most every 200 cycles (one every 10 cycles for cycles 1-200). 15 variables are included in the duty cycle dataset (Gr-NCA_Co33_cha_124652duty). See corresponding read me file for details and example how to use.



University of Hawai'i at Manoa


Computer-Based Training, Battery Charging, Lithium Battery