Early prediction of remaining useful life for lithium-ion batteries based on CEEMDAN-transformer-DNN hybrid model by Yuxiang Cai, Weimin Li, Taimoor Zahid, Chunhua Zheng, Qingguang Zhang, Kun Xu

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Predicting the Future Capacity and Remaining Useful Life of Lithium-Ion Batteries Based on Deep Transfer Learning by Chenyu Sun, Taolin Lu, Qingbo Li, Yili Liu, Wen Yang, Jingying Xie

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A State of Health Estimation Method for Lithium-Ion Batteries Based on Improved Particle Filter Considering Capacity Regeneration by Haipeng Pan, Chengte Chen, Minming Gu

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An interpretable online prediction method for remaining useful life of lithium-ion batteries by Zuxin Li, Shengyu Shen, Yifu Ye, Zhiduan Cai, Aigang Zhen

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A double broad learning approach based on variational modal decomposition for Lithium-Ion battery prognostics by Xiaojia Wang, Xinyue Guo, Sheng Xu, Xibin Zhao

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A Method for Predicting the Remaining Useful Life of Lithium Batteries Considering Capacity Regeneration and Random Fluctuations by Haipeng Pan, Chengte Chen, Minming Gu

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State of Health Monitoring and Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Temporal Convolutional Network by Danhua Zhou, Zhanying Li, Jiali Zhu, Haichuan Zhang, Lin Hou

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An Adaptive Modeling Method for the Prognostics of Lithium-Ion Batteries on Capacity Degradation and Regeneration by Liming Deng, Wenjing Shen, Kangkang Xu, Xuhui Zhang

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Remaining Useful Life Prediction of Lithium-Ion Battery Based on Adaptive Fractional Lévy Stable Motion with Capacity Regeneration and Random Fluctuation Phenomenon by Wanqing Song, Jianxue Chen, Zhen Wang, Aleksey Kudreyko, Deyu Qi, Enrico Zio

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Indirect Prediction of Lithium-Ion Battery RUL Based on CEEMDAN and CNN-BiGRU by Kai Lv, Zhiqiang Ma, Caijilahu Bao, Guangchen Liu

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