[1] |
Rengaowa SA, Chaohui WU, Zelong NI, Yue ZHANG, Xinjian JIANG, Jianyu TIAN.
A variable-parameter PID active power control strategy of inertial flywheel based on reinforcement learning
[J]. Energy Storage Science and Technology, 2025, 14(5): 1982-1990.
|
[2] |
Shuang ZHAO, Pengyuan ZHAO, Wanqin DING, Bin LIU, Wendong WANG, Qunfang ZHAI, Xiaolong LI.
Research on coupled optimization and regulation of source network load storage multi energy networks based on integrated neural networks
[J]. Energy Storage Science and Technology, 2025, 14(5): 2057-2066.
|
[3] |
Yifei WANG, Fan XU, Liang WANG, Xingjian DAI, Yujie XU, Haisheng CHEN.
Analysis and design on stator heat dissipation of motor in flywheel energy storage system
[J]. Energy Storage Science and Technology, 2025, 14(5): 1946-1953.
|
[4] |
Qingxiang XU, Wei TENG, Run QIN, Shunyi SONG, Yibing LIU, Shuangyin LIANG.
Energy management and control strategy for grid-connected frequency regulation flywheel energy storage systems
[J]. Energy Storage Science and Technology, 2025, 14(5): 2013-2022.
|
[5] |
Jiangwei SHEN, Yixin SHE, Xing SHU, Yonggang LIU, Fuxing WEI, Xuelei XIA, Zheng CHEN.
State of health estimation for lithium batteries based on short-term random charging data and optimized convolutional neural network
[J]. Energy Storage Science and Technology, 2025, 14(4): 1585-1595.
|
[6] |
Zhiduan CAI, Wuzhe ZHANG, Chengao WU, Jiayang TONG.
Lithium battery health state estimation method based on triple VMD decomposition under strong interference
[J]. Energy Storage Science and Technology, 2025, 14(4): 1631-1644.
|
[7] |
Ll Wenjie.
Computer network control technology of compressed air energy storage system
[J]. Energy Storage Science and Technology, 2025, 14(4): 1533-1535.
|
[8] |
Wenqi DONG, Donghui ZHANG, Yifan CAO, Zhaoxuan NING, Xinjian JIANG, Ming LI, Xuewei SHI.
The control strategies concerning the new type inertia flywheel and high-speed flywheel involved in the grid inertia response and primary frequency modulation
[J]. Energy Storage Science and Technology, 2025, 14(3): 1224-1233.
|
[9] |
Yi QIU.
Application of internet of vehicles technology in energy storage control of new energy vehicles
[J]. Energy Storage Science and Technology, 2025, 14(2): 737-739.
|
[10] |
Tingting WANG, Sisheng LI, Wei YU, Fengtian NENG, Xingnan LI, Jialin YANG, Liang XIONG.
Wind power prediction based on BP neural network combined with ERA5 data
[J]. Energy Storage Science and Technology, 2025, 14(1): 183-189.
|
[11] |
Yuanxiu XING, Zhuanwei LIU, Yufeng XING, Wenbo WANG.
BDD-DETR: An efficient algorithm for detecting small surface defects on lithium batteries
[J]. Energy Storage Science and Technology, 2025, 14(1): 370-379.
|
[12] |
Jianxuan LI, Chen LIN, Zhongkai ZHOU.
State of health estimation based on subtraction average based optimizer and bidirectional long and short term memory networks for lithium-ion batteries
[J]. Energy Storage Science and Technology, 2025, 14(1): 358-369.
|
[13] |
Yong LIU, Huaiwen YU, Dapeng LIU, Yong MU, Yingzhou WANG, Xiuyu ZHANG.
Remaining useful life prediction of lithium-ion battery based on an ABC-LSTM model
[J]. Energy Storage Science and Technology, 2025, 14(1): 331-345.
|
[14] |
Yuan LI, Shu ZHENG, Yonghua CHEN, Jun WANG, Zihui WANG.
Optimization configuration of distribution network energy storage considering system reliability constraints
[J]. Energy Storage Science and Technology, 2025, 14(1): 193-202.
|
[15] |
Ye TIAN, Shanshan WANG, Xu YAO, Jiaxin LIU, Xiaodong HAN.
The significance and development of the collaborative application of distribution network communication and distributed energy storage technology
[J]. Energy Storage Science and Technology, 2025, 14(1): 190-192.
|