Critical Review on Improved Electrochemical Impedance Spectroscopy-Cuckoo Search-Elman Neural Network Modeling Methods for Whole-Life-Cycle Health State Estimation of Lithium-Ion Battery Energy Storage Systems

IF 8.7 1区工程技术 Q1 ENERGY & FUELS

Protection and Control of Modern Power Systems Pub Date : 2024-03-01 DOI:10.23919/pcmp.2023.000234

Ran Xiong, Shunli Wang, Paul Takyi‐Aninakwa, Siyu Jin, C. Fernandez, Qi Huang, Weihao Hu, Wei Zhan

引用次数: 0

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针对锂离子电池储能系统全生命周期健康状态估计的改进型电化学阻抗光谱-布谷鸟搜索-艾尔曼神经网络建模方法的重要评论

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来源期刊

Protection and Control of Modern Power Systems Multiple-

CiteScore

20.10

自引率

8.20%

发文量

审稿时长

4 weeks

期刊介绍： Protection and Control of Modern Power Systems (PCMP) is the first international modern power system protection and control journal originated in China. The journal is dedicated to presenting top-level academic achievements in this field and aims to provide a platform for international researchers and engineers, with a special focus on authors from China, to maximize the papers' impact worldwide and contribute to the development of the power industry. PCMP is sponsored by Xuchang Ketop Electrical Research Institute and is edited and published by Power System Protection and Control Press. PCMP focuses on advanced views, techniques, methodologies, and experience in the field of protection and control of modern power systems to showcase the latest technological achievements. However, it is important to note that the journal will cease to be published by SpringerOpen as of 31 December 2023. Nonetheless, it will continue in cooperation with a new publisher.