Gui-Feng Zhang

State of charge estimation method for sodium-ion batteries based on a hybrid deep learning network

A hybrid deep learning model combining a Temporal Convolutional Network, Bidirectional Long Short-Term Memory, and Squeeze-and-Excitation module (TCN-BiLSTM-SE) is proposed for SOC estimation, supporting the practical application of SIBs in energy storage and electric vehicle systems.