LiPo Battery LP-503562-IS-3 EIS, Capacity, ECM Data

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