State-of-Charge Estimation for Li-Ion Power Batteries Based on a Tuning Free Observer
Abstract
:1. Introduction
2. Lazy Extended Kalman Filter
2.1. Luenberger Observer
2.2. Extended Kalman Filter
2.3. Lazy Extended Kalman Filter
3. Derivation of the Lazy-Extended Kalman Filter
4. Experimental Design and Verification
4.1. Experiment Platform
4.2. System Model Parameter Identification
4.3. Verification of the Lazy-Extended Kalman Filter Method
5. Conclusions
- (1)
- Lower computational complexity while maintaining the estimation with near optimal accuracy;
- (2)
- Incorporating a tuning-free observer with no gain parameters to be tuned based on experience or by trial-and-error; and
- (3)
- Algorithm complexity is controlled by a single variable, NC.
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Battery Type | Battery Capacity | Device Model |
---|---|---|
OPTIMUM 32650 | 5.00 Ah (Manufacturer Data) | Electronic Load: Sunway CT3002W |
Battery 1 | 5.13 Ah (Experimental Data) | Thermal Chamber: Bole GDS150 |
Parameter | Battery 1 | Unit |
---|---|---|
Eo | 3.3451 | V |
r | 0.0242 | Ω |
k0 | 0.0080 | V |
k1 | 0.0500 | V |
k2 | 0.0477 | V |
k3 | −0.0154 | V |
Algorithms | Complexity (Based on Equation (15)) | Operating Time | Mean Absolute SOC Estimation Error |
---|---|---|---|
EKF | 16 | 0.166132 s | 0.70% |
LEKF, NC = 2 | 10.2 | 0.108353 s | 0.75% |
LEKF, NC = 3 | 8.67 | 0.075501 s | 0.92% |
LEKF, NC = 5 | 7.2 | 0.049359 s | 1.12% |
LEKF, NC = 10 | 6.1 | 0.040920 s | 1.48% |
LEKF, NC = 20 | 5.55 | 0.022172 s | 2.52% |
Luenberger | 5 | 0.016095 s | 4.67% |
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Tang, X.; Liu, B.; Gao, F.; Lv, Z. State-of-Charge Estimation for Li-Ion Power Batteries Based on a Tuning Free Observer. Energies 2016, 9, 675. https://doi.org/10.3390/en9090675
Tang X, Liu B, Gao F, Lv Z. State-of-Charge Estimation for Li-Ion Power Batteries Based on a Tuning Free Observer. Energies. 2016; 9(9):675. https://doi.org/10.3390/en9090675
Chicago/Turabian StyleTang, Xiaopeng, Boyang Liu, Furong Gao, and Zhou Lv. 2016. "State-of-Charge Estimation for Li-Ion Power Batteries Based on a Tuning Free Observer" Energies 9, no. 9: 675. https://doi.org/10.3390/en9090675