"Experimental Dataset of Series-Connected INR18650-30Q Lithium-Ion Cells under CC\u2013CV Charging and Resistive Discharge Cycles"

"This dataset contains 60 CSV files, comprising 30 charging test files and 30 discharging test files. In all experimental tests, four lithium-ion cells of the INR18650-30Q model were connected in series, with a nominal voltage of 4.2 V and a nominal capacity of 3000 mAh. It is important to note that all cells used in the experiments were new, presenting a state of health (SOH) of 100%.The charging tests were performed using the constant current\u2013constant voltage (CC\u2013CV) method, as described below:Charging files numbered from 1 to 10: charging with a current of 1 A;Charging files numbered from 11 to 20: charging with a current of 2 A;Charging files numbered from 21 to 30: charging with a current of 3 A.The discharging tests were conducted using fixed resistive loads and are organized as follows:Discharging files numbered from 1 to 10: discharging with a fixed load of 16.8 \u03a9 and an initial current of approximately 1 A;Discharging files numbered from 11 to 20: discharging with a fixed load of 8.4 \u03a9 and an initial current of approximately 2 A;Discharging files numbered from 21 to 30: discharging with a fixed load of 5.6 \u03a9 and an initial current of approximately 3 A.Each discharging cycle starts with all cells fully charged to 4.2 V and ends when the cell voltage reaches the lower cut-off limit of 3 V.During each experimental cycle, the following parameters were recorded:Individual voltage of each cell;Surface temperature of cells 3 and 4;Charging or discharging current.Data acquisition was performed using an ESP32 microcontroller connected to an ADS1115 analog-to-digital converter. Voltage measurements were obtained through voltage dividers connected to the ADS1115. Charging and discharging currents were measured using a LAH50-P (50 A) current sensor, while the surface temperature of the cells was monitored using a DS18B20 sensor. The current and temperature sensors were connected directly to the ESP32.The ESP32 was connected to a computer via a serial interface, and the data were visualized in real time using MATLAB software."