A Remaining Useful Life Prediction of Lithium-Ion Batteries via Improved Dream Optimization Algorithm-Tuned LSTM Networks
Lithium-ion batteries have been widely utilized in modern society due to their excellent performance, making the accurate prediction of their remaining useful life (RUL) of paramount importance. Current RUL prediction methods are primarily categorized into battery discharge model-based approaches and data-driven approa...