Investigation of the temperature and DOD effect on the performance-degradation behavior of lithium–sulfur pouch cells during calendar aging
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DOI: 10.1016/j.apenergy.2022.120543
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- Meng-Qiang Zhao & Qiang Zhang & Jia-Qi Huang & Gui-Li Tian & Jing-Qi Nie & Hong-Jie Peng & Fei Wei, 2014. "Unstacked double-layer templated graphene for high-rate lithium–sulphur batteries," Nature Communications, Nature, vol. 5(1), pages 1-8, May.
- Mc Carthy, Kieran & Gullapalli, Hemtej & Kennedy, Tadhg, 2022. "Online state of health estimation of Li-ion polymer batteries using real time impedance measurements," Applied Energy, Elsevier, vol. 307(C).
- Xie, Yanping & Zhao, Hongbin & Cheng, Hongwei & Hu, Chenji & Fang, Wenying & Fang, Jianhui & Xu, Jiaqiang & Chen, Zhongwei, 2016. "Facile large-scale synthesis of core–shell structured sulfur@polypyrrole composite and its application in lithium–sulfur batteries with high energy density," Applied Energy, Elsevier, vol. 175(C), pages 522-528.
- Kim, Seongyoon & Choi, Yun Young & Choi, Jung-Il, 2022. "Impedance-based capacity estimation for lithium-ion batteries using generative adversarial network," Applied Energy, Elsevier, vol. 308(C).
- Guangmin Zhou & Eunsu Paek & Gyeong S. Hwang & Arumugam Manthiram, 2015. "Long-life Li/polysulphide batteries with high sulphur loading enabled by lightweight three-dimensional nitrogen/sulphur-codoped graphene sponge," Nature Communications, Nature, vol. 6(1), pages 1-11, November.
- David T. Boyle & William Huang & Hansen Wang & Yuzhang Li & Hao Chen & Zhiao Yu & Wenbo Zhang & Zhenan Bao & Yi Cui, 2021. "Corrosion of lithium metal anodes during calendar ageing and its microscopic origins," Nature Energy, Nature, vol. 6(5), pages 487-494, May.
- Salimeh Gohari & Vaclav Knap & Mohammad Reza Yaftian, 2021. "Investigation on Cycling and Calendar Aging Processes of 3.4 Ah Lithium-Sulfur Pouch Cells," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
- Zheng, Linfeng & Zhu, Jianguo & Lu, Dylan Dah-Chuan & Wang, Guoxiu & He, Tingting, 2018. "Incremental capacity analysis and differential voltage analysis based state of charge and capacity estimation for lithium-ion batteries," Energy, Elsevier, vol. 150(C), pages 759-769.
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- Peng Liu & Cheng Liu & Zhenpo Wang & Qiushi Wang & Jinlei Han & Yapeng Zhou, 2023. "A Data-Driven Comprehensive Battery SOH Evaluation and Prediction Method Based on Improved CRITIC-GRA and Att-BiGRU," Sustainability, MDPI, vol. 15(20), pages 1-15, October.
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Keywords
Li–S pouch cell; Battery degradation; Calendar aging; Differential voltage analysis; Self-discharge;All these keywords.
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