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 …

Electrochemical impedance spectroscopy (EIS) is a widely applied non-destructive method
of characterisation of Li-ion batteries. Despite its ease of application, there are inherent …

The expansion of lithium-ion batteries from consumer electronics to larger-scale transport
and energy storage applications has made understanding the many mechanisms …

Lithium ion batteries (LIBs) have transformed the consumer electronics (CE) sector and are
beginning to power the electrification of the automotive sector. The unique requirements of …

Lithium-ion batteries can last many years but sometimes exhibit rapid, nonlinear
degradation that severely limits battery lifetime. In this work, we review prior work on" knees" …

Preventing the decomposition reactions of electrolyte solutions is essential for extending the
lifetime of lithium-ion batteries. However, the exact mechanism (s) for electrolyte …

The lithium ion battery is widely used in electric vehicles (EV). The battery degradation is the
key scientific problem in battery research. The battery aging limits its energy storage and …

Accurately predicting the lifetime of complex, nonlinear systems such as lithium-ion batteries
is critical for accelerating technology development. However, diverse aging mechanisms …

State-of-the-art lithium (Li)-ion batteries are approaching their specific energy limits yet are
challenged by the ever-increasing demand of today's energy storage and power …

Accurate forecasting of lithium-ion battery performance is essential for easing consumer
concerns about the safety and reliability of electric vehicles. Most research on battery health …