Multi-model deep learning-based state of charge estimation for shipboard lithium batteries with feature extraction and Spatio-temporal dependency

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Dagstuhl Research Online Publication Server · 2025 · 16.2K citations · Full text

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Proceedings of The 32nd International Conference on Machine Learning

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Predicting the state of charge and health of batteries using data-driven machine learning

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State-of-Charge (SOC)-Balancing Control of a Battery Energy Storage System Based on a Cascade PWM Converter

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State-of-charge estimation of lithium-ion battery using an improved neural network model and extended Kalman filter

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