A machine learning framework for remaining useful lifetime prediction of li-ion batteries using diverse neural networks
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,General Energy,Engineering (miscellaneous)
Reference34 articles.
1. Remaining useful life prediction of lithium-ion batteries based on conditional variational autoencoders-particle filter;Jiao;IEEE Trans Instrum Meas,2020
2. Remaining useful life prediction of lithium-ion batteries using a spatial temporal network model based on capacity self-recovery effect;Li;J Energy Storage,2023
3. Sequential application of denoising autoencoder and long-short recurrent convolutional network for noise-robust remaining-useful-life prediction framework of lithium-ion batteries;Hong;Comput Ind Eng,2023
4. Remaining useful life assessment for lithium-ion batteries using CNN-LSTM-DNN hybrid method;Zraibi;IEEE Trans Veh Technol,2021
5. Prediction of state of health and remaining useful life of lithium-ion battery using graph convolutional network with dual attention mechanisms;Wei;Reliab Eng Syst Saf,2023
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