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Zhonglin SUN, Jiabo LI, Di TIAN, Zhixuan WANG, Xiaojing XING.
Useful life prediction for lithium-ion batteries based on COA-LSTM and VMD
[J]. Energy Storage Science and Technology, 2024, 13(9): 3254-3265.
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Yuhang YUAN, Yuchen GAO, Jundong ZHANG, Yanbin GAO, Chaolong WANG, Xiang CHEN, Qiang ZHANG.
The application of large language models in energy storage research
[J]. Energy Storage Science and Technology, 2024, 13(9): 2907-2919.
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Jiahui HUANG, Zhufang KUANG.
The forefront of the integration of artificial intelligence and energy storage technologies
[J]. Energy Storage Science and Technology, 2024, 13(9): 3161-3181.
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Junyu JIAO, Quanquan ZHANG, Ningbo CHEN, Jiyu WANG, Qiudi LU, Haohao DING, Peng PENG, Xiaohe SONG, Fan ZHANG, Jiaxin ZHENG.
Development and applications of an intelligent big data analysis platform for batteries
[J]. Energy Storage Science and Technology, 2024, 13(9): 3198-3213.
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Dinghong LIU, Wenkai DONG, Zhaoyang LI, Hongzhu ZHANG, Xin QI.
Estimation of real-vehicle battery state of health using the RUN-GRU-attention model
[J]. Energy Storage Science and Technology, 2024, 13(9): 3042-3058.
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Jing XU, Yuqi WANG, Xiao FU, Qifan YANG, Jingchen LIAN, Liqi WANG, Ruijuan XIAO.
Discovery of new battery materials based on a big data approach
[J]. Energy Storage Science and Technology, 2024, 13(9): 2920-2932.
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Ziyu LIU, Zekun JIANG, Wei QIU, Quan XU, Yingchun NIU, Chunming XU, Tianhang ZHOU.
Application of artificial intelligence in long-duration redox flow batteries storage systems
[J]. Energy Storage Science and Technology, 2024, 13(9): 2871-2883.
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Yingying XIE, Bin DENG, Yuzhi ZHANG, Xiaoxu WANG, Linfeng ZHANG.
Intelligent R&D of battery design automation in the era of artificial intelligence
[J]. Energy Storage Science and Technology, 2024, 13(9): 3182-3197.
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Zhenwei ZHU, Jiawei MIAO, Xiayu ZHU, Xiaoxu WANG, Jingyi QIU, Hao ZHANG.
Research progress in lithium-ion battery remaining useful life prediction based on machine learning
[J]. Energy Storage Science and Technology, 2024, 13(9): 3134-3149.
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Bingxiang SUN, Xin YANG, Xingzhen ZHOU, Shichang MA, Zhihao WANG, Weige ZHANG.
Comparative parametric study of metaheuristics based on impedance modeling for lithium-ion batteries
[J]. Energy Storage Science and Technology, 2024, 13(9): 2952-2962.
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Zheng CHEN, Bo YANG, Zhigang ZHAO, Jiangwei SHEN, Renxin XIAO, Xuelei XIA.
State of charge estimation considering lithium battery temperature and aging
[J]. Energy Storage Science and Technology, 2024, 13(8): 2813-2822.
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Chen LI, Huilin ZHANG, Jianping ZHANG.
Estimated state of health for retired lithium batteries using kernel function and hyperparameter optimization
[J]. Energy Storage Science and Technology, 2024, 13(6): 2010-2021.
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Xiaofei ZHEN, Beibei WANG, Xiaohu ZHANG, Yiming SUN, Wenjiong CAO, Ti DONG.
Study on the generation and diffusion law of thermal runaway gas in lithium battery energy storage system
[J]. Energy Storage Science and Technology, 2024, 13(6): 1986-1994.
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Baoquan LIU, Xiaoyu CAO.
Accurate typical gas detection of lithium battery in early thermal runaway period
[J]. Energy Storage Science and Technology, 2024, 13(6): 1995-2009.
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Nana FENG, Ming YANG, Zhouli HUI, Ruijie WANG, Hongyang NING.
Prediction of the remaining useful life of lithium batteries based on Antlion optimization Gaussian process regression
[J]. Energy Storage Science and Technology, 2024, 13(5): 1643-1652.
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