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 …

As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …

Transportation electrification is a promising solution to meet the ever-rising energy demand
and realize sustainable development. Lithium-ion batteries, being the most predominant …

Electric vehicles with green power system are viable alternatives to reduce greenhouse gas
emissions and dependence on fossil energy resources. The power source such as Li-ion …

Safety issues pertaining to Li-ion batteries justify intensive testing all along their value chain.
However, progress in scientific knowledge regarding lithium based battery failure modes, as …

This review addresses concepts, approaches, tools, and outcomes of multiscale modeling
used to design and optimize the current and next generation rechargeable battery cells …

Modelling the electrochemical and thermal behaviours of cylindrical lithium-ion batteries
(LIBs) is complicated by their multi-unit jellyroll structure. To evaluate the accuracy of …

In this work, three-dimensional (3D) thermal modeling of a single Li-ion battery cell and a 50
V Li-ion battery pack composed of 14 prismatic batteries is performed. Equivalent circuit …

This study presents a mathematical model and experimental verification of factors
influencing thermal runaway propagation of NCM811/C lithium-ion battery module after fast …

Abstract Lithium-ion (Li-ion) batteries are the most promising power source for pure electric
vehicles (EVs) and hybrid electric vehicles (HEVs) due to the batteries' high specific energy …