工程科学学报 Chinese Journal of Engineering 基于CEEMDANLSTM组合的锂离子电池寿命预测方法 史永胜施梦琢丁恩松洪元涛欧阳 Combined prediction method of lithium-ion battery life based on CEEMDAN-LSTM SHI Yong-sheng,SHI Meng-zhuo,DING En-song.HONG Yuan-tao,OU Yang 引用本文： 史永胜，施梦琢，丁恩松，洪元涛，欧阳.基于CEEMDANLSTM组合的锂离子电池寿命预测方法.工程科学学报，2021， 43(7):985-994.doi:10.13374.issn2095-9389.2020.06.30.007 SHI Yong-sheng.SHI Meng-zhuo,DING En-song.HONG Yuan-tao,OU Yang.Combined prediction method of lithium-ion battery life based on CEEMDANLSTM[J].Chinese Journal of Engineering,2021,43(7):985-994.doi:10.13374/j.issn2095- 9389.2020.06.30.007 在线阅读View online:https::/oi.org10.13374.issn2095-9389.2020.06.30.007 您可能感兴趣的其他文章 Articles you may be interested in 等效循环电池组剩余使用寿命预测 Investigation of RUL prediction of lithium-ion battery equivalent cycle battery pack 工程科学学报.2020,42(6：796htps/doi.org10.13374.issn2095-9389.2019.07.03.003 基于融合模型的锂离子电池荷电状态在线估计 Online estimation of the state of charge of a lithium-ion battery based on the fusion model 工程科学学报.2020,429：1200 https:/1doi.org/10.13374.issn2095-9389.2019.09.20.001 基于鲁棒H滤波的锂离子电池SOC估计 Lithium-ion battery state of charge estimation based on a robust H filter 工程科学学报.2021,435)：693htps:ldoi.org/10.13374.issn2095-9389.2020.09.21.002 锂离子电池安全性研究进展 Research progress on safety of lithium-ion batteries 工程科学学报.2018.408：901htps:/doi.org/10.13374j.issn2095-9389.2018.08.002 无烟煤制备高性能锂离子电池负极材料的研究 High-performance anode materials based on anthracite for lithium-ion battery applications 工程科学学报.2020,42(7)：884 https:/doi.org10.13374.issn2095-9389.2019.07.11.005 基于集成神经网络的剩余寿命预测 Remaining useful life prediction based on an integrated neural network 工程科学学报.2020,42(10：1372htps:/oi.org/10.13374j.issn2095-9389.2019.10.10.005基于CEEMDANLSTM组合的锂离子电池寿命预测方法 史永胜 施梦琢 丁恩松 洪元涛 欧阳 Combined prediction method of lithium-ion battery life based on CEEMDAN–LSTM SHI Yong-sheng, SHI Meng-zhuo, DING En-song, HONG Yuan-tao, OU Yang 引用本文: 史永胜, 施梦琢, 丁恩松, 洪元涛, 欧阳. 基于CEEMDANLSTM组合的锂离子电池寿命预测方法[J]. 工程科学学报, 2021, 43(7): 985-994. doi: 10.13374/j.issn2095-9389.2020.06.30.007 SHI Yong-sheng, SHI Meng-zhuo, DING En-song, HONG Yuan-tao, OU Yang. Combined prediction method of lithium-ion battery life based on CEEMDANLSTM[J]. Chinese Journal of Engineering, 2021, 43(7): 985-994. doi: 10.13374/j.issn2095- 9389.2020.06.30.007 在线阅读 View online: https://doi.org/10.13374/j.issn2095-9389.2020.06.30.007 您可能感兴趣的其他文章 Articles you may be interested in 等效循环电池组剩余使用寿命预测 Investigation of RUL prediction of lithium-ion battery equivalent cycle battery pack 工程科学学报. 2020, 42(6): 796 https://doi.org/10.13374/j.issn2095-9389.2019.07.03.003 基于融合模型的锂离子电池荷电状态在线估计 Online estimation of the state of charge of a lithium-ion battery based on the fusion model 工程科学学报. 2020, 42(9): 1200 https://doi.org/10.13374/j.issn2095-9389.2019.09.20.001 基于鲁棒H∞滤波的锂离子电池SOC估计 Lithium-ion battery state of charge estimation based on a robust H∞ filter 工程科学学报. 2021, 43(5): 693 https://doi.org/10.13374/j.issn2095-9389.2020.09.21.002 锂离子电池安全性研究进展 Research progress on safety of lithium-ion batteries 工程科学学报. 2018, 40(8): 901 https://doi.org/10.13374/j.issn2095-9389.2018.08.002 无烟煤制备高性能锂离子电池负极材料的研究 High-performance anode materials based on anthracite for lithium-ion battery applications 工程科学学报. 2020, 42(7): 884 https://doi.org/10.13374/j.issn2095-9389.2019.07.11.005 基于集成神经网络的剩余寿命预测 Remaining useful life prediction based on an integrated neural network 工程科学学报. 2020, 42(10): 1372 https://doi.org/10.13374/j.issn2095-9389.2019.10.10.005