Lithium-ion batteries exhibit a dynamic electrochemical system that experiences challenges
such as aging and degradation over time. The challenges vary under operational and …

The concept of energy storage is undergoing an important transformation because of the
continuing sustainable energy revolution, with battery technology emerging as a leading …

The work covers the development of a data-driven algorithm and computes the performance
of learning models for lithium-ion battery state of health (SOH) estimation. A wide range of …

Vehicles play a pivotal role in the current era of Industry 4.0 by providing passengers with
excellent mobility, comfort, and safety while strengthening national and international …

With the growing demand for battery-powered devices and electric vehicles, the need for
improved battery performance and safety is paramount. A key determinant of battery health …

MXene is extensively utilized in environmental remediation owing to its attributes of
hydrophobicity and high specific surface area. Herein, backpropagation neural network …

Recognizing the challenges faced by power lithium-ion batteries (LIBs), the concept of
integrated battery systems emerges as a promising avenue. This offers the potential for …

This study aims to employ machine learning algorithms to analyze the axial bearing capacity
of rubberized alkali-activated concrete filled steel tubes. A dataset encompassing 327 …

There has been a notable increase in awareness within the scientific community regarding
the advancement of cognitive approaches designed to address the inherent vulnerabilities …

The battery health monitoring system (BHMS) ensures safety, performance, and reliability of
lithium-ion battery (LIB) in electric vehicles (EVs). It also estimates and monitors the critical …