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Remaining Useful Life Prediction of Lithium Battery Based on Sequential CNN–LSTM Method
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Among various methods for remaining useful life (RUL) prediction of lithium batteries, the data-driven approach shows the most attractive character for non-linear relation learning and accurate prediction. However, the ...