Dataset Open Access

Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation

Jiangong Zhu; Yixiu Wang; Yuan Huang; R. Bhushan Gopaluni; Yankai Cao; Michael Heere; Martin J. Mühlbauer; Liuda Mereacre; Haifeng Dai; Xinhua Liu; Anatoliy Senyshyn; Xuezhe Wei; Michael Knapp; Helmut Ehrenberg

Here are the datasets for the publication named "Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation" published in Nature Communications. Experimental cycling data for three commercial 18650 type batteries (Dataset_1:NCA battery, Dataset_2:NCM battery, and Dataset_3:NCM+NCA_battery) are given, where each csv file corresponds to one cell cycling data. The cells are named as CYX-Y_Z-#N according to their cycling conditions. X means the temperature, Y_Z represents the charge_discharge current rate, #N is the cell tag. Each csv file has 9 columns, including cycle time ('time/s'), controlled voltage and current ('control/V/mA'), battery voltage ('Ecell/V'), applied current ('<I>/mA'), charge or discharge electricity ('Q discharge/mA.h' and 'Q discharge/mA.h'), controlled voltage or current ('control/V', 'control/mA' and ), and cycle number ('cycle number'). In the impedance data, one representative cell from each cycling condition is chosen for the discussion in the main text. More detailed descriptions can be found in the zip file.

Files (1.7 GB)
Name Size
Dataset_1_NCA_battery.zip
md5:cbd6d7eab2a296b52385e025e8d0f42a
579.6 MB Download
Dataset_2_NCM_battery.zip
md5:a05c485df92f4af560d1d8d7f659ce1b
737.0 MB Download
Dataset_3_NCM_NCA_battery.zip
md5:d11e68e410a638058906af5e2f5f60f3
356.1 MB Download
Impedance raw data and fitting data.zip
md5:be9a8088847edd6528ce888372b42465
1.3 MB Download
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