State-of-charge Estimation of Lithium-ion Battery Based Online Parameter Identification

Juqiang Feng; Long Wu; Kaifeng Huang; Xing Zhang; Jun Lu

doi:10.1051/e3sconf/202019402023

All issues

Volume 194 (2020)

E3S Web Conf., 194 (2020) 02023

References

Open Access

Issue		E3S Web Conf. Volume 194, 2020 2020 5^th International Conference on Advances in Energy and Environment Research (ICAEER 2020)


Article Number		02023
Number of page(s)		4
Section		Renewable Energy and New Energy Technology
DOI		https://doi.org/10.1051/e3sconf/202019402023
Published online		15 October 2020

Y. Diao, K. xie, S. Xiong, and X. Hong. Shuttle phenomenon-theirreversible oxidation mechanism of sulfur active material in Li-S batter. Journal of Power Sources, 2013,235(15):181-186. [Google Scholar]
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Yinjiao Xing, Wei He, Michael Pecht, Kwok Leung Tsui. State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures. Applied Energy, 2014, 113(1):106-115. [Google Scholar]
Xiaosong Hu; Shengbo Li; Huei Peng. A comparative study of equivalent circuit models for Li-ion batteries. Journal of Power Sources, 2012, 198(1: 359-367. [Google Scholar]
Petr Křivík. Methods of SoC determination of lead acid battery. Journal of Energy Storage, 2018, 15(2):181-186. [Google Scholar]
Shen P, Ouyang M, Lu L, Li J, Feng X, The co-estimation of state of charge, state of health, and state of function for lithium-ion batteries in electric vehices. IEEE Transveh Technol, 2018, 67: 92-103. [Google Scholar]
SONG Xuanyu, HUANG Jingyao, DUAN Junqiang, Estimation of state of charge of battery based on adaptive recursive least squaress and unscented Kalman filtering. Electric Power Science and Engineering, 2019, 35(12):41-47. [Google Scholar]

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[1] Y. Diao, K. xie, S. Xiong, and X. Hong. Shuttle phenomenon-theirreversible oxidation mechanism of sulfur active material in Li-S batter. Journal of Power Sources, 2013,235(15):181-186. [Google Scholar]

[2] Karsten Propp, Daniel J. Auger, Abbas Fotouhi, Monica Marinescu, Vaclav Knap, Stefano Longov, Improved state of charge estimation for lithium-sulfur batteries. Journal of Energy Storage, 2019, 25(12):1-13. [Google Scholar]

[3] Yinjiao Xing, Wei He, Michael Pecht, Kwok Leung Tsui. State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures. Applied Energy, 2014, 113(1):106-115. [Google Scholar]

[4] Xiaosong Hu; Shengbo Li; Huei Peng. A comparative study of equivalent circuit models for Li-ion batteries. Journal of Power Sources, 2012, 198(1: 359-367. [Google Scholar]

[5] Petr Křivík. Methods of SoC determination of lead acid battery. Journal of Energy Storage, 2018, 15(2):181-186. [Google Scholar]

[6] Shen P, Ouyang M, Lu L, Li J, Feng X, The co-estimation of state of charge, state of health, and state of function for lithium-ion batteries in electric vehices. IEEE Transveh Technol, 2018, 67: 92-103. [Google Scholar]

[7] SONG Xuanyu, HUANG Jingyao, DUAN Junqiang, Estimation of state of charge of battery based on adaptive recursive least squaress and unscented Kalman filtering. Electric Power Science and Engineering, 2019, 35(12):41-47. [Google Scholar]