Smart Feature Identification for Battery Health Evaluation with Short-segment Charging
Creators
Description
The Dataset for our paper “Smart Feature Identification for Battery Health Evaluation with Short-segment Charging”
The data in Dataset_1_40Ah_battery is the cycle test data of 40Ah battery at different discharge depths under 100%DOD working condition. The data in Dataset_2_280Ah_battery_1 is the cyclic test data of the first 280Ah battery at different discharge depths under 100%DOD conditions. The data in Dataset_3_280Ah_battery_2 are cycle test data of the second 280Ah battery at different discharge depths under 100%DOD conditions.
The CSV file has 21 or 17 columns, (17 columns for, data sequence number, good cycling, step number, step type, time (s) , total time (s) , current (a) , voltage (V) , capacity (AH) , charging capacity (AH) , discharge capacity (AH) , energy (Wh) , charging energy (Wh) , discharge energy (Wh) , absolute time (s) , power (W) , temperature (° C-RRB-) , the 21-column CSV adds four metrics (DQ/DV (AH/V) in column 17, dQm/DV (mAh/V) in column 18, contact resistance (m ω) in column 19, and module start-stop status in column 20) , More detailed files can be found in the zip file.