中国科学院计算技术研究所机构知识库

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	A Novel Approach for State of Health Estimation and Remaining Useful Life Prediction of Supercapacitors Using an Improved Honey Badger Algorithm Assisted Hybrid Neural Network 期刊论文 PROTECTION AND CONTROL OF MODERN POWER SYSTEMS, 2024, 卷号: 9, 期号: 6, 页码: 1-18 作者:  Yi, Zhenxiao;  Wang, Shi;  Li, Zhaoting;  Wang, Licheng;  Wang, Kai 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Accuracy  Recurrent neural networks  Computational modeling  Time series analysis  Predictive models  Supercapacitors  Feature extraction  Prediction algorithms  Convolutional neural networks  Long short term memory  state of health  re-maining useful life  honey badger algorithm  recurrent dropout
	Battery health state prediction based on lightweight neural networks: A review 期刊论文 IONICS, 2024, 页码: 27 作者:  Zhang, Longlong;  Wang, Shanshuai;  Wang, Shi;  Zhong, Bai;  Li, Zhaoting;  Wang, Licheng;  Wang, Kai 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 State of health  Lithium-ion batteries  Lightweight neural networks  Attentional mechanisms
	State of health estimation of lithium-ion batteries based on Mixers-bidirectional temporal convolutional neural network 期刊论文 JOURNAL OF ENERGY STORAGE, 2023, 卷号: 73, 页码: 15 作者:  Gao, Jingyi;  Yang, Dongfang;  Wang, Shi;  Li, Zhaoting;  Wang, Licheng;  Wang, Kai 收藏  |  浏览/下载：12/0  |  提交时间：2024/05/20 Lithium-ion battery  State of health estimation  Bidirectional temporal convolutional neural  network  Mixers  Transfer learning