基于Bi-LSTM和Bi-GRU的锂离子电池荷电状态估计

Yuanfu Zhu, Wen-Chao He, Jianxing Li, Youcai Li, Peiqiang Li
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引用次数: 2

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SOC estimation for Li-ion batteries based on Bi-LSTM and Bi-GRU
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来源期刊
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期刊介绍: Energy Storage Science and Technology is a professional journal jointly sponsored by Chemical Industry Press and Chemical Industry Society of China. It will be changed to a monthly journal from 2022. The journal is a Chinese core journal with the domestic unified serial number CN 10-1076/TK, and is also a CSCD and Chinese science and technology core journal. As the journal of Chemical Industry Society of China and the Energy Storage Engineering Committee, it has been included in international databases such as Ulrichsweb, INSPEC and CA, and is edited by Professor Ding Yulong of the University of Birmingham, UK. The journal is committed to reporting basic and applied research in energy storage science, promoting new theories, new technologies and new achievements, serving scientific research and production practice, aiming to promote the healthy development of China's energy storage industry and enhance China's influence in the field of international energy storage technology. The main columns include special comments, hot comments, academic debates, etc., covering the latest scientific research progress and industrial trends of various energy storage technologies such as chemical energy storage, pumped energy storage, and compressed air energy storage.
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