Predicting, monitoring, and optimizing the performance and health of a battery system
entails a variety of complex variables as well as unpredictability in given conditions. Data …

Flexible solid-state Lithium-sulfur batteries (FSSLSBs) are critical to industrious applications
in the area that requires batteries to be low cost, have good mechanical properties, high …

Dilute alloying is an effective strategy to tune properties of solid catalysts but is rarely
leveraged in complex reactions beyond small molecule conversion. In this work, dilute …

Lithium–sulfur batteries (LSBs) currently face challenges including lithium polysulfide
shuttling, sluggish sulfur redox kinetics, severe lithium dendrite growth, and volume change …

Lithium–sulfur batteries (LSB) with high theoretical energy density are plagued by the
infamous shuttle effect of lithium polysulfide (LPS) and the sluggish sulfur …

Though the lithium-ion battery is universally applied, the reliability of lithium-ion batteries
remains a challenge due to various physicochemical reactions, electrode material …

The safe and reliable operation of lithium-ion batteries necessitates the accurate prediction
of remaining useful life (RUL). However, this task is challenging due to the diverse ageing …

Electrochemical impedance spectroscopy (EIS) is an effective technique for Lithium-ion
battery state of health diagnosis, and the impedance spectrum prediction by battery charging …

Degradation stage detection and life prediction are important for battery health management
and safe reuse. This study first proposes a method of detecting whether a battery has …

The estimation of state of charge (SOC) using deep neural networks (DNN) generally
requires a considerable number of labelled samples for training, which refer to the current …