This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …

Economic development and the comfort-loving nature of human beings in recent years have
resulted in increased energy demand. Since energy resources are scarce and should be …

Battery state of health (SOH) estimation is a critical but challenging demand in advanced
battery management technologies. As an essential parameter, battery impedance contains …

Accurately monitoring battery states over battery life plays a central role in building
intelligent battery management systems. This study proposes a flexible method using only …

Prognostics and health management (PHM) is developed to guarantee the safety and
reliability of Lithium-ion (Li-ion) battery during operations. Due to the advantages of deep …

Prognostics and health management (PHM) are developed to accurately estimate the state
of health (SOH) of lithium-ion batteries, which are crucial parts for planning the employment …

Lithium-ion batteries are used in a wide range of applications including energy storage
systems, electric transportations, and portable electronic devices. Accurately obtaining the …

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 …

Abstract State-of-charge (SOC) estimation of lithium-ion battery is one of the core functions
of battery management system. In order to improve the estimation accuracy of SOC, this …

E-mobility, especially electric cars, has been scaling up rapidly because of technological
advances in lithium-ion batteries (LIBs). However, LIBs degrade significantly with service life …