Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks

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Practical failure recognition model of lithium-ion batteries based on partial charging process

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Validation and Verification of Remaining Useful Life Prediction for Lithium-Ion Batteries based on AM-CNN Approach

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Research on the Method of Remaining Useful Life Prediction of Lithium-ion Battery Based on LSTM

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Remaining useful life prediction of lithium-ion batteries using a CEEMDAN–Bi-LSTM hybrid model

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