LiPo Battery LP-503562-IS-3 EIS, Capacity, ECM Data
Description
BAK Technology LiPo Battery model LP-503562-IS-3 Data acquisition described in M. Galeotti et al., Energy, 2015, doi.org/10.1016/j.energy.2015.05.148 CAPACITY DATA Standard Charge: 1) Constant current 1 A until voltage = 4.2 V 2) Constant voltage 4.2 V until current = 0.2 A Standard discharge: 1) Constant current 1 A until voltage = 2.75 V Data: Folder: ./LiPO_#/EIS_Charge_discharge/ Files: 0_x_0_stdcharge.csv 0_x_1_stddischarge.csv 0_x_2_stdcharge.csv (x: cycle number) Columns: 1) Time [s] 2) Current [A] 3) Voltage [V] Folder: ./LiPO_#/Discharge_curve/ Files: x_Discharge_std.csv (x: cycle number) Columns: 1) Extracted Charge [Ah] 2) Voltage [V] Folder: ./LiPO_#/Capacity/ File: Capacity_std.csv Columns: 1) Cycle number 2) Capacity [Ah] EIS DATA Folder: ./LiPO_#/EIS_Charge_discharge/ File: EIS_cycles.csv Columns: 1) Cycle number in which EIS is performed Files: 1_x_y_pardisch.csv (x: Cycle number in which EIS is performed) (y: SOC index) Columns: 1) Time [s] 2) Current [A] 3) Voltage [V] Folder: ./LiPO_#/EIS_Charge_discharge/EIS_x/ File: SOC.csv (x: Cycle number in which EIS is performed) Columns: 1) SOC values Files: y_EIS.csv (y: SOC index) Columns: 1) Frequency [Hz] 2) Re(Z) [W] 3) Im(Z) [W] STRESS DISCHARGE DATA Stress (=standard) charge: 1) Constant current 1 A until voltage = 4.2 V 2) Constant voltage 4.2 V until current = 0.2 A Stress discharge: 1) Constant current 3 A until voltage = 2.75 V Data: Folder: ./LiPO_#/EIS_Charge_discharge/ Files: 2_x_stresscharge.csv 2_x_stressdischarge.csv (x: Cycle number) Columns: 1) Time [s] 2) Current [A] 3) Voltage [V] Folder: ./LiPO_#/Discharge_curve/ Files: x_Discharge_stress.csv (x: Cycle number) Columns: 1) Extracted Charge [Ah] 2) Voltage [V] Folder: ./LiPO_#/Capacity/ File: Capacity_stress.csv Columns: 1) Cycle number 2) Capacity [Ah] EQUIVALENT CIRCUIT MODEL Impedance spectra have been fitted by using the impedance model: Z_\left(s\right) = R_0 + sL + \frac{R_1}{1 + R_1 Q_1 s^{\alpha_1}} + \frac{R_2}{1 + R_2 Q_2 s^{\alpha_2}} + \frac{1}{Q s^{0.5}} s = i \omega (\omega is the angular frequency) Data: Fitted parameters: Folder: ./LiPO_#_fit/ Files: model_fit_cycle_x.csv (x: Cycle number) Columns: SOC, R_0, R_1, Q_1, a_1, R_2, Q_2, a_2, Q, L Standard deviation of fitted parameters: Folder: ./LiPO_#_fit/ Files: model_fit_err_cycle_x.csv (x: Cycle number) Columns: SOC, R_0, R_1, Q_1, a_1, R_2, Q_2, a_2, Q, L