Robust state-of-charge estimation of Li-ion batteries based on multichannel convolutional and bidirectional recurrent neural networks

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Comparing seven methods for state-of-health time series prediction for the lithium-ion battery packs of forklifts

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Robust state of charge estimation based on a sequence-to-sequence mapping model with process information

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A review of deep learning approach to predicting the state of health and state of charge of lithium-ion batteries

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Advanced Intelligent approach for state of charge estimation of lithium-ion battery

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Advancements in the estimation of the state of charge of lithium-ion battery: a comprehensive review of traditional and deep learning approaches

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