费子成
发布时间:2025-08-27浏览次数:1813
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1、Early prediction of battery lifetime via a machine learning based framework,Energy,SCI一区, IF=8.9, ESI高被引论文,2021,Fei Zicheng
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2、Deep learning powered rapid lifetime classification of lithium-ion batteries,eTransportation,SCI一区,IF=11.9,2023,Fei Zicheng
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3、Early-stage lifetime prediction for lithium-ion batteries: A deep learning framework jointly considering machine-learned and handcrafted data features,Journal of Energy Storage,SCI一区,IF=9.4,2022,Fei Zicheng
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4、A deep attention-assisted and memory-augmented temporal convolutional network based model for rapid lithium-ion battery remaining useful life predictions with limited data,Journal of Energy Storage,SCI一区,IF=9.4,2023,Fei Zicheng
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5、Deep Learning Powered Online Battery Health Estimation Considering Multi-timescale Ageing Dynamics and Partial Charging Information,IEEE Transactions on Transportation Electrification,SCI一区,IF=7.0,2023,Fei Zicheng
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6、Voltage and temperature information ensembled probabilistic battery health evaluation via deep Gaussian mixture density network,Journal of Energy Storage,SCI一区,IF=9.4,2023,Fei Zicheng
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7、Fuzzy petri net based intelligent machine operation of energy efficient manufacturing system,IEEE 14th International Conference on Automation Science and Engineering (CASE),Fei Zicheng
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8、A multi-stage time series processing framework based on attention mechanism for early life prediction of lithium-ion batteries,Journal of Energy Storage,SCI一区,IF=9.4,2024,Fei Zicheng
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9、A feature fusion-based convolutional neural network for battery state-of-health estimation with mining of partial voltage curve,Energy ,SCI一区,IF=8.9,2024,Fei Zicheng
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10、Life prediction of lithium-ion batteries based on stacked denoising autoencoders,Reliability Engineering & System Safety,SCI一区,IF=8.1,2021,Fei Zicheng