Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

Short summary

A Long Short-Term Memory (LSTM) recurrent neural network (RNN) accurately predicts the remaining useful life (RUL) of lithium-ion batteries by learning long-term dependencies in capacity degradation, outperforming traditional models like SVM and Particle Filters.

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