Nature

Deep learning based emulator for predicting voltage behaviour in lithium ion batteries

This study presents a data-driven battery emulator using long short-term memory deep learning models to predict the charge–discharge behaviour of lithium-ion batteries (LIBs). This study aimed to ...
Nature

Temporal-aware transformer networks for state of charge multi-output prediction in unmanned aerial vehicle lithium-ion batteries

Accurate prediction of the state of charge (SOC) in lithium-ion batteries is critical for unmanned aerial vehicle (UAV) flight safety and energy management. Current deep learning approaches lack ...