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Yi-Bao Zhang

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Sep 2026

Lithium-ion battery RUL prediction using CNN-BiLSTM-Attention

A hybrid prediction framework integrating convolutional neural networks (CNN), bidirectional long short-term memory networks (BiLSTM), attention mechanisms, and ensemble learning strategies is developed to improve prediction accuracy and robustness in lithium-ion battery remaining useful life prediction.

Yi-Bao Zhang · 0 citations

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