Simulation-driven deep learning approach for module-level state of charge estimation in electric vehicles with active thermal management assessment
Accurate state of charge (SOC) estimation for electric vehicle (EV) lithium-ion batteries is challenged by complex electro-thermal dynamics. Despite recent advances in data-driven methods, a critical gap persists: existing models are trained on single-cell datasets and therefore fail to capture the cell-to-cell therm...