High-Accuracy Parameter Identification Method for Equivalent-Circuit Models of Lithium-Ion Batteries Based on the Stochastic Theory Response Reconstruction
Abstract
:1. Introduction
2. Battery Model and Parameter Identification
2.1. The Second-Order ECM of Lithium-Ion Battery
2.2. Parameter Identification Based on RLS
3. The Reconstruction Method of Battery Voltage
4. Experiment Setup
4.1. Battery Test Bench Setup
4.2. Battery Cell Test Scheme
- Charge the battery at 0.3 C constant current until the cell voltage reaches 4.2 V.
- Charge the battery with constant voltage 4.2 V until the current reduces to 0.02 C.
- Rest the battery for 1 h before discharging the battery cell.
- Discharge the battery at the 0.3 C constant current until the discharging cut-off voltage is reached.
- Repeat the above procedure three times, adopting the average value as the battery cell capacity.
- Charge the battery to fully charged state.
- Discharge the battery 5% of the available capacity with the 0.3 C constant current.
- Rest the battery for 1 h.
- Repeat the above discharging and rest process until the battery discharging cut-off voltage is reached.
- Take the opposite current for the charging process.
5. Experimental Results and Discussions
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
Abbreviations
STRR | stochastic theory response reconstruction |
ECM | equivalent circuit model |
DC | direct current |
AC | alternating current |
EIS | electrochemical impedance spectroscopy |
RLS | recursive least squares |
PRBS | pseudo random binarysequence |
UDDS | Urban Dynamometer Driving Schedule |
FUDS | Federal Urban Driving Schedule |
EVs | electric vehicles |
BMS | battery management ststem |
SOC | state of charge |
SOH | state of health |
SOP | state of power |
OCV | open circuit voltage |
MAE | mean absolute error |
RMSE | mean absolute error |
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Type | Nominal Capacity (Ah) | Nominal Voltage (V) | Discharge Cut-Off Voltage (V) | Charge Cut-Off Voltage (V) |
---|---|---|---|---|
18650 | 2.5 | 3.6 | 3 | 4.2 |
Method | UDDS | FUDS | ||||
---|---|---|---|---|---|---|
MAE [mV] | RMSE [mV] | ME [mV] | MAE [mV] | RMSE [mV] | ME [mV] | |
No filter | 22.6 | 24.8 | 57.5 | 17.6 | 19.9 | 73.2 |
ButterWorth | 14.9 | 17.7 | 51.6 | 13.9 | 16.6 | 71.9 |
Measured | 7.1 | 9.4 | 35.5 | 7.7 | 10.3 | 54.7 |
Reconstruction | 8.9 | 10.9 | 44.2 | 9.6 | 12.2 | 56.7 |
Method | UDDS | FUDS | ||||
---|---|---|---|---|---|---|
MAE [mV] | RMSE [mV] | ME [mV] | MAE [mV] | RMSE [mV] | ME [mV] | |
No filter | 22.4 | 24.3 | 53.3 | 22 | 23.3 | 56.3 |
Butterworth | 13.4 | 15.6 | 39 | 13.8 | 15.3 | 43.4 |
Measured | 5.6 | 7.1 | 28.3 | 5.3 | 6.3 | 23.9 |
Reconstruction | 8.1 | 10.3 | 30 | 7.1 | 8.2 | 27.9 |
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Wen, F.; Duan, B.; Zhang, C.; Zhu, R.; Shang, Y.; Zhang, J. High-Accuracy Parameter Identification Method for Equivalent-Circuit Models of Lithium-Ion Batteries Based on the Stochastic Theory Response Reconstruction. Electronics 2019, 8, 834. https://doi.org/10.3390/electronics8080834
Wen F, Duan B, Zhang C, Zhu R, Shang Y, Zhang J. High-Accuracy Parameter Identification Method for Equivalent-Circuit Models of Lithium-Ion Batteries Based on the Stochastic Theory Response Reconstruction. Electronics. 2019; 8(8):834. https://doi.org/10.3390/electronics8080834
Chicago/Turabian StyleWen, Fazheng, Bin Duan, Chenghui Zhang, Rui Zhu, Yunlong Shang, and Junming Zhang. 2019. "High-Accuracy Parameter Identification Method for Equivalent-Circuit Models of Lithium-Ion Batteries Based on the Stochastic Theory Response Reconstruction" Electronics 8, no. 8: 834. https://doi.org/10.3390/electronics8080834