[1] |
Jizhong LU, Simin PENG, Xiaoyu LI.
State-of-health estimation of lithium-ion batteries based on multifeature analysis and LSTM-XGBoost model
[J]. Energy Storage Science and Technology, 2024, 13(9): 2972-2982.
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[2] |
Hongsheng GUAN, Cheng QIAN, Bo SUN, Yi REN.
Predicting capacity degradation trajectory for lithium-ion batteries under limited data conditions
[J]. Energy Storage Science and Technology, 2024, 13(9): 3084-3093.
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[3] |
Xue KE, Huawei HONG, Peng ZHENG, Zhicheng LI, Peixiao FAN, Jun YANG, Yuzheng GUO, Chunguang KUAI.
Estimating lithium-ion battery health using automatic feature extraction and channel attention mechanisms for multi-timescale modeling
[J]. Energy Storage Science and Technology, 2024, 13(9): 3059-3071.
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[4] |
Congxin LI, Meiling YUE, Xintong LI, Qinghui XIONG, Xiaoyan LIU.
Proton exchange membrane fuel cell aging performance prediction based on conditional neural networks
[J]. Energy Storage Science and Technology, 2024, 13(9): 3094-3102.
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[5] |
Bin DENG, Haiming HUA, Yuzhi ZHANG, Xiaoxu WANG, Linfeng ZHANG.
Deep potential model: Applications and insights for electrochemical energy storage materials
[J]. Energy Storage Science and Technology, 2024, 13(9): 2884-2906.
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[6] |
Yufeng HUANG, Huanchao LIANG, Lei XU.
Kalman filter optimize Transformer method for state of health prediction on lithium-ion battery
[J]. Energy Storage Science and Technology, 2024, 13(8): 2791-2802.
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[7] |
Changfa LIU, Liheng FU, Zengli ZHANG, Hongsheng LI, Jingbin GU.
Adaptive coordinated control method for distributed energy storage capacity with high proportion of photovoltaic access
[J]. Energy Storage Science and Technology, 2024, 13(8): 2696-2703.
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[8] |
Hui FANG.
Functional safety guarantee strategy for low temperature lithium battery energy storage system under network analysis mode
[J]. Energy Storage Science and Technology, 2024, 13(7): 2447-2449.
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[9] |
Haifeng MA, Wenbo LI, Zonghui CAI, Lin LIU, Tong YU.
Research on computer processing technology of flywheel energy storage system
[J]. Energy Storage Science and Technology, 2024, 13(6): 1983-1985.
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[10] |
Ziwei TANG, Yupu SHI, Yuchan ZHANG, Yibo ZHOU, Huiling DU.
Prediction of lithium-ion battery capacity degradation trajectory based on Informer
[J]. Energy Storage Science and Technology, 2024, 13(5): 1658-1666.
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[11] |
Shuai DU, Liming JIA, Zhendi LI, Zhenxing MA.
Optimization configuration of distribution network operation with “photovoltaic energy storage” coupling participation in peak shaving
[J]. Energy Storage Science and Technology, 2024, 13(5): 1741-1743.
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[12] |
Qing LI, Shaowei ZHANG, Silun LUO, Juchen LI, Haichao CHENG, Chenyi LU.
A novel automatic underwater vehicle SOC estimator based on BPNN-AUKF at different temperatures
[J]. Energy Storage Science and Technology, 2024, 13(4): 1205-1215.
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[13] |
Jia LIU, Zhiqiang MA, Guangchen LIU, Jundong GAO, Hongxun LI.
Predicting the residual useful life of power batteries based on the GRUU-TCN ensemble under multiscale decomposition
[J]. Energy Storage Science and Technology, 2024, 13(3): 1009-1018.
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[14] |
Yang ZHANG, Shenghu TAO, Xiaobo ZHANG, Dongfeng ZHENG, Zhouyi CHEN.
Coordinated optimization of operation strategy and capacity of energy storage equipment in distribution network
[J]. Energy Storage Science and Technology, 2024, 13(3): 903-905.
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[15] |
Qiquan ZENG, Maji LUO, Yinlong YANG, Qingze HUANG.
Life prediction of fuel cells based on the LSTM-UPF hybrid method
[J]. Energy Storage Science and Technology, 2024, 13(3): 963-970.
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