In the field of energy storage, it is very important to predict the state of charge and the state of
health of lithium-ion batteries. In this paper, we review the current widely used equivalent …

Technology advancement demands energy storage devices (ESD) and systems (ESS) with
better performance, longer life, higher reliability, and smarter management strategy …

As a new type of energy‐storage device, supercapacitors are widely used in various energy
storage fields because of their advantages such as fast charging and discharging, high …

The accuracy of fault diagnosis is an important indicator to ensure the reliability of key
equipment systems. Ensemble learning integrates different weak learning methods to obtain …

With the assistance of artificial intelligence, advanced health prognosis technique plays a
critical role in the lithium-ion (Li-ion) batteries management system. However, conventional …

Supercapacitors are characterized by a long service lifetime and high power density, which
can meet the instantaneous high‐power demand during the acceleration of electric vehicles …

Accurate and rapid prediction of the lifetime is essential for accelerating the application of
ultracapacitors. To overcome the large inconsistencies in the lifetime of ultracapacitors, an …

Abstract Machine learning (ML) is a versatile technique to rapidly and efficiently generate
insights from multidimensional data. It offers a much‐needed avenue to accelerate the …

MXene (2D titanium carbide) is thoroughly investigated and studied in recent years for
energy storage purposes. It has excellent properties such as hydrophilicity, metallic …

A principal challenge in the 21st century is reliable energy storage, which is vital to deal with
the high safety risk and insufficient energy density of current commercial energy storage …