Gravitational Search Algorithm based Long Short-term Memory Deep Neural Network for Battery Capacity and Remaining Useful Life Prediction with Uncertainty

This paper presents a hybrid approach for predicting the remaining useful life (RUL) and future capacity of lithium-ion batteries (LIBs) using an improved long short-term memory (LSTM) deep neural network with a gravitational search algorithm (GSA). The proposed method address the challenges of nonl...

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Main Authors: Reza M.S., Hannan M.A., Mansor M., Ker P.J., Tiong S.K., Hossain M.J.
其他作者: 59055914200
格式: Conference Paper
出版: Institute of Electrical and Electronics Engineers Inc. 2024
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