EARLY PREDICTION OF THE HEALTH CONDITIONS FOR BATTERY CATHODES ASSISTED BY THE FUSION OF FEATURE SIGNAL ANALYSIS AND DEEP-LEARNING TECHNIQUES

With rapid development of clean energy vehicles, the health diagnosis and prognosis of lithium batteries remain challenging for practical applications.Accurate state-of-health (SOH) and remaining useful life (RUL) estimation provides crucial information for improving the safety, reliability and longevity of batteries.In this paper, a fusion of deep

In recent years, the processes used in wastewater treatment have received significant advances in various fields, including the electrochemical coagulation process as a significant innovation in the water and wastewater industry.The application of electrochemical technologies in the water and wastewater industry is very diverse.This technique has b