KIEE - The Transactions of the Korean Institute of Electrical Engineers

1

B. J. Yoon, S. Y. Yoo, and S. M. Seong, “Compensation Method of EKF Based on LSTM for Estimating State of Charge of Li-polymer Battery,” Transactions of KSAE, vol. 27, no. 7, pp. 501-507, 2019.

2

J. Chen, Y. Zhang, J. Wu, W. Cheng, and Q. Zhu, “SOC estimation for lithium-ion battery using the LSTM-RNN with extended input and constrained output,” Energy, vol. 262, Part A, 2023.

3

W. Zhou, X. Ma, H. Wang, and Y. Zheng, “SOC Estimation Based on Hysteresis Characteristics of Lithium Iron Phosphate Battery,” Machines, vol. 10, no. 8, pp. 658-674, 2022.

4

H. S. Oh, J. Y. Kim, Y. E. Choi, B. M. Moon, and J. M. Kim, “A Study on the SoC of Lithium Battery Applied to the Operating Environment of Urban Railway Vehicle,” The Transactions of the Korean Institute of Electrical Engineers, vol. 72, no. 5, pp. 662-668, 2023.

5

J. Lee, and J. H. Won, “Enhanced Coulomb Counting Method for SoC and SoH Estimation Based on Coulombic Efficiency,” IEEE Access, vol. 11, pp. 15449-15459, 2023.

6

H. Rahimi-Eichi, U. Ojha, F. Baronti, and M. Chow, “Battery Management System: An Overview of Its Application in the Smart Grid and Electric Vehicles,” IEEE Industrial Electronics Magazine, vol. 7, no. 2, pp. 4-16, 2013.

7

B. Zine, H. Bia, A. Benmouna, M. Becherif, and M. Iqbal, “Experimentally Validated Coulomb Counting Method for Battery State-of-Charge Estimation under Variable Current Profiles,”Energies, vol. 15, no. 21, pp. 8172-8186, 2022.

8

W. Zhou, Y. Zheng, Z. Pan, and Q. Lu, “Review on the Battery Model and SOC Estimation Method,” Processes, vol. 9, no. 9, pp. 1685-1707, 2021.

9

H. S. Lim, S. H. Lee, and K. B. Lee, “SOC Estimation of an LFP Battery using Extended Kalman Filter with Extracted Prameter,” The Transactions of the Korean Institute of Electrical Engineers, vol. 72, no. 11, pp. 1372-1378, 2023.

10

H. Rahimi-Eichi, and M. Chow, “Modeling and analysis of battery hysteresis effects,”IEEE Energy Conversion Congress and Exposition, pp. 4479-4486, 2012.

11

P. Venegas, D. Gómez, M. Arrinda, M. Oyarbide, H. Macicior, and A. Bermúdez, “Kalman filter and classical Preisach hysteresis model applied to the state of charge battery estimation,” Computers & Mathematics with Applications, vol. 118, pp. 74-84, 2022.

12

F. Baronti, N. Femia, R. Saletti, C. Visone, and W. Zamboni, “Hysteresis Modeling in Li-Ion Batteries,” IEEE Transactions on Magnetics, vol. 50, no. 11, pp. 1-4, 2014.

13

F. Baronti, N. Femia, R. Saletti, C. Visone, and W. Zamboni, “Preisach modelling of lithium-iron-phosphate battery hysteresis,” Journal of Energy Storage, vol. 4, pp. 51-61, 2015.

14

A. Marongiu, F. G. W. Nußbaum, W. Waag, M. Garmendia, and D. U. Sauer, “Comprehensive study of the influence of aging on the hysteresis behavior of a lithium iron phosphate cathode-based lithium ion battery – An experimental investigation of the hysteresis,” Applied Energy, vol 171, pp. 629-645, 2016.

15

C. Y. Chun, B. H. Cho, and J. H. Kim, “Covariance controlled state-of-charge estimator of LiFePO4 cells using a simplified hysteresis model,” Electrochimica Acta, vol. 265, pp. 629-637, 2018.

16

Z. Jiao,H. Wang, J. Xing, Q. Yang, J. Zhao, M. Yang, and Y. Zhouet, “A Local Cascade Ensemble Learning Method for Lithium Ion Battery SOC Estimation under Multi External Factors Considering OCV Hysteresis,” Power System and Green Energy Conference, pp. 262-266, 2022.

17

H. Zhang, and M. Chow, “On-line PHEV battery hysteresis effect dynamics modeling,” IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society, pp. 1844-1849, 2010.

18

I. Baccouche, S. Jemmali, A. Mlayah, B. Manai, and N. E. B. Amara, “Implementation of an Improved Coulomb-Counting Algorithm Based on a Piecewise SOC-OCV Relationship for SOC Estimation of Li-IonBattery,” International Journal of Renewable Energy Research, vol. 8, no. 1, pp. 178-187, 2018.

19

Y. H. Ko, and W. J. Choi, “A New SOC Estimation for LFP Batteries: Application in a 10 Ah Cell (HW 38120 L/S) as a Hysteresis Case Study,” Electronics, vol. 10, no. 6, pp. 705-718, 2021.

20

S. Qiu, Z. Chen, M. Masrur, and Y. Murphey, “Battery hysteresis modeling for state of charge estimation based on Extended Kalman Filter,” IEEE Conference on Industrial Electronics and Applications, pp. 184-189, 2011.

21

Y. He, R. He, B. Guo,Z. Zhang,S. Yang,X. Liu, and X. Zhao, “Modeling of Dynamic Hysteresis Characters for the Lithium-Ion Battery,” Journal of The Electrochemical Society, vol. 167, no. 9, pp. 90532-90546, 2020.

22

J. Wang, J. Meng, Q. Peng, T. Liu, X. Zeng, G. Chen, and Y. Li, “Lithium-Ion Battery State-of-Charge Estimation Using Electrochemical Model with Sensitive Parameters Adjustment,” Batteries, vol. 9, no. 3, pp. 180-200, 2023.

23

K. Movassagh, A. Raihan, B. Balasingam, and K. Pattipati, “A Critical Look at Coulomb Counting Approach for State of Charge Estimation in Batteries,” Energies,vol. 14, no. 14, pp. 4106, 2021.

24

I. Baccouche, S. Jemmali, B. Manai, N. Omar, N. E. B. Amara, “Improved OCV Model of a Li-Ion NMC Battery for Online SOC Estimation Using the Extended Kalman Filter,” Energies,vol. 10, no. 6, pp. 764-785, 2017.

KIEEThe Transactions of
the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

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KIEEThe Transactions ofthe Korean Institute of Electrical Engineers