Variable-Order Equivalent Circuit Modeling and State of Charge Estimation of Lithium-Ion Battery Based on Electrochemical Impedance Spectroscopy
Abstract
:1. Introduction
2. Characteristic Analysis of Lithium-Ion Battery Based on EIS
2.1. Electrochemical Impedance Spectroscopy
- (1)
- Ultra-high frequency region (above 10 kHz), mainly affected by the wiring and windings, which is inductive, is represented by RL//L parallel circuit, earmarked by purple rectangle in the figure.
- (2)
- Ohmic internal resistance, the intersection of impedance spectrum and real axis, represented by R0.
- (3)
- High frequency region, characterized by a semicircle related to the diffusion and migration of lithium ions through the insulating layer on the surface of active electrode material particles, is represented by RS//CS parallel circuit, earmarked by red rectangle in the figure. Among them, RS is the resistance of lithium ion diffusion migration through the surface film on the positive and negative electrodes, which is approximately equal to the semicircle diameter [15], and capacitance CS describes the capacitance effect of surface films.
- (4)
- Middle frequency region, characterized by a semicircle related to the charge transfer process in the electrode reaction, is represented by Rct//Cdl parallel circuit, earmarked by green rectangle in the figure. Rct is the charge transfer resistance, which is approximately equal to the semicircle diameter, and the capacitance Cdl is the electric double layer capacitor.
- (5)
- Low frequency region, characterized by an oblique line associated with the solid diffusion process of lithium ions inside the active material particles, is represented by a Warburg impedance, earmarked by cyan rectangle in the figure.
2.2. The Experiment of EIS
3. Variable Order Equivalent Circuit Model
3.1. RC Equivalent Circuit Model
3.2. The Determination of the Order of Model
3.2.1. Bayesian Information Criterion
3.2.2. Result and Analysis of the Determination of Model Order
4. SOC Estimation Method Based on VOEM-AR-UKF
4.1. Autoregressive Equation
4.2. VOEM-AR-UKF Algorithm
- (1)
- Off line phase: the 3D drawing for order determination is generated according to BIC and the characteristic of EIS. The 1-RC and 2-RC model for order selection can be established by hybrid pulse power characteristic [30] (HPPC).
- (2)
- Online phase: input the real-time temperature, current and voltage values, and the model order is determined by looking up the 3D drawing, and then the order determination result can be arranged into corresponding autoregressive form, whose coefficients can be identified by FFRLS online. Finally, the UKF algorithm is adopted to estimate SOC, which is fed back to determine the model order at the next moment. Figure 12 shows the flow chart of the proposed method.
5. Results and Analysis
5.1. Model Validation
5.1.1. Constant Current Pulse Test
5.1.2. BJDST Test
5.2. SOC Estimation
5.2.1. Constant Current Pulse Test
5.2.2. DST Test
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Step | Content |
---|---|
1 | Charge with constant current of 1.5 A at room temperature until the terminal voltage reaches 4.2 V |
2 | Charge at constant voltage of 4.2 V until the current is less than 150 mA, that is, the battery is fully charged. |
3 | Adjust the incubator to T °C and let the battery stand for 3 h |
4 | EIS measurement, frequent range: 0.01 Hz—10 kHz |
5 | The battery is discharged at constant current 1C to 90% SOC, 70% SOC, 50% SOC, 30% SOC, 20% SOC and 10% SOC respectively, and then repeat steps 3–5 until EIS under all SOC is measured. |
Step | Content |
---|---|
1 | Charge with constant current of 1.5 A at room temperature until the terminal voltage reaches 4.2 V |
2 | Charge at constant voltage of 4.2 V until the current is less than 150 mA, that is, the battery is fully charged. |
3 | Standing for 3 h at −10 °C |
4 | The discharge at constant current of 1C is suspended when the battery SOC drops by 0.1, and the OCV is recorded after standing for 1 h, and then continues until the battery is empty. Data were collected every 0.2 s. |
5 | Standing for 3 h and repeat steps 1–2 |
6 | Change the temperature T = 0 °C, 25 °C and 45 °C respectively, and then repeat the test steps 4–6 |
aT | bT | SSE | R-Square |
---|---|---|---|
17.5860 | 844.1388 | 0.00162 | 0.99164 |
1RC-UKF | 2RC-UKF | VOEM-AR-UKF | |
---|---|---|---|
MAE | 0.0114 | 0.0107 | 0.0008 |
RMSE | 0.0128 | 0.0123 | 0.0015 |
Ttotal/s | 6.83 | 8.59 | 6.32 |
1RC-UKF | 2RC-UKF | VOEM-AR-UKF | |
---|---|---|---|
MAE | 0.0169 | 0.0103 | 0.0007 |
RMSE | 0.0176 | 0.0115 | 0.0055 |
Ttotal/s | 4.35 | 5.22 | 4.16 |
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Zhang, J.; Wang, P.; Liu, Y.; Cheng, Z. Variable-Order Equivalent Circuit Modeling and State of Charge Estimation of Lithium-Ion Battery Based on Electrochemical Impedance Spectroscopy. Energies 2021, 14, 769. https://doi.org/10.3390/en14030769
Zhang J, Wang P, Liu Y, Cheng Z. Variable-Order Equivalent Circuit Modeling and State of Charge Estimation of Lithium-Ion Battery Based on Electrochemical Impedance Spectroscopy. Energies. 2021; 14(3):769. https://doi.org/10.3390/en14030769
Chicago/Turabian StyleZhang, Ji’ang, Ping Wang, Yushu Liu, and Ze Cheng. 2021. "Variable-Order Equivalent Circuit Modeling and State of Charge Estimation of Lithium-Ion Battery Based on Electrochemical Impedance Spectroscopy" Energies 14, no. 3: 769. https://doi.org/10.3390/en14030769
APA StyleZhang, J., Wang, P., Liu, Y., & Cheng, Z. (2021). Variable-Order Equivalent Circuit Modeling and State of Charge Estimation of Lithium-Ion Battery Based on Electrochemical Impedance Spectroscopy. Energies, 14(3), 769. https://doi.org/10.3390/en14030769