Lithium-ion batteries are the most widely used energy storage devices, for which the
accurate prediction of the remaining useful life (RUL) is crucial to their reliable operation and …

Precise prediction of lithium‐ion cell level aging under various operating conditions is an
imperative but challenging part of ensuring the quality performance of emerging applications …

To reduce the carbon footprint in the transportation sector and improve overall vehicle
efficiency, a large number of electric vehicles are being manufactured. This is due to the fact …

Lithium‐ion batteries (LIBs) with fast‐charging capabilities have the potential to overcome
the “range anxiety” issue and drive wider adoption of electric vehicles. The US Advanced …

Traditional lithium-ion battery modeling does not provide sufficient information to accurately
verify battery performance under real-time dynamic operating conditions, particularly when …

The key to advancing lithium‐ion battery (LIB) technology, particularly with respect to the
optimization of cycling protocols, is to obtain comprehensive and in‐depth understanding of …

Predicting battery degradation is not only beneficial for the early detection of risks but also
essential for advancing research on energy chemistries. Battery degradation is highly …

In the backdrop of the carbon neutrality, lithium-ion batteries are being extensively employed
in electric vehicles (EVs) and energy storage stations (ESSs). Extremely harsh conditions …

Highly efficient and low-cost supercapacitors (SCs) with excellent energy storing capacity
are highly demanded to fabricate modern portable and wearable electronic devices. Herein …

A multilayered ternary solid polymer electrolyte (TSPE) is presented. First, the influence of
polyethylene oxide degradation on cell failure, development of subsequent volatile …