Open Access
| Issue |
E3S Web Conf.
Volume 194, 2020
2020 5th 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]
- 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]
- 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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