Comparisons of Modeling and State of Charge Estimation for Lithium-Ion Battery Based on Fractional Order and Integral Order Methods
Abstract
:1. Introduction
2. Fractional Order Model of Lithium-Ion Battery
2.1. FOC Definition
2.2. Fractional Order Models of Thevenin and PNGV
3. Parameter Identification
4. SOC Estimation
4.1. FOC EKF Application
4.2. Experiment Validation
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Models | FOPNGV | FOThevenin | IOPNGV | IOThevenin |
---|---|---|---|---|
MAE | 1.302 | 1.448 | 0.063 | 0.064 |
SD | 1.300 | 1.391 | 0.397 | 0.610 |
Models | FOPNGV | FOThevenin | IOPNGV | IOThevenin |
---|---|---|---|---|
MAE | 0.019 | 0.091 | 0.050 | 0.206 |
SD | 2.311 | 3.758 | 2.540 | 3.001 |
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Xiao, R.; Shen, J.; Li, X.; Yan, W.; Pan, E.; Chen, Z. Comparisons of Modeling and State of Charge Estimation for Lithium-Ion Battery Based on Fractional Order and Integral Order Methods. Energies 2016, 9, 184. https://doi.org/10.3390/en9030184
Xiao R, Shen J, Li X, Yan W, Pan E, Chen Z. Comparisons of Modeling and State of Charge Estimation for Lithium-Ion Battery Based on Fractional Order and Integral Order Methods. Energies. 2016; 9(3):184. https://doi.org/10.3390/en9030184
Chicago/Turabian StyleXiao, Renxin, Jiangwei Shen, Xiaoyu Li, Wensheng Yan, Erdong Pan, and Zheng Chen. 2016. "Comparisons of Modeling and State of Charge Estimation for Lithium-Ion Battery Based on Fractional Order and Integral Order Methods" Energies 9, no. 3: 184. https://doi.org/10.3390/en9030184