This publication will present best practices for incremental capacity analysis, a technique
whose popularity is growing year by year because of its ability to identify battery degradation …

For the battery industry, quick determination of the ageing behaviour of lithium‐ion batteries
is important both for the evaluation of existing designs as well as for R&D on future …

This study investigates the effectiveness of passive battery thermal management using
phase change materials (PCMs) and estimates the optimal PCM thicknesses under different …

In recent years, fire and explosion accidents caused by high temperature of lithium-ion
batteries have become increasingly frequent, and the safety and reliability of batteries have …

Accurate prediction of the state of health (SOH) of lithium-ion batteries is an important
guarantee for the safe and reliable operation of battery systems. Both internal and external …

Materials informatics uses machine learning to predict the properties of new materials, but
generally requires extensive characterisation and feature extraction to describe the input …

Lithium-ion battery health management is crucial for ensuring the safety and stability of
electronic products, particularly in estimating Remaining Useful Life (RUL). To achieve rapid …

Modeling of Li-ion cells is used in battery management systems (BMS) to determine key
states such as state-of-charge (SoC), state-of-health (SoH), etc. Accurate models are also …

The electrochemical performance of lithium-ion batteries significantly deteriorates in extreme
cold. Thus, to ensure battery safety under various conditions, various heating and insulation …

The thermal runaway of Lithium-ion batteries can result in severe accidents hindering their
adoption and is, therefore, a cause for concern. Monitoring the temperature of the cells in a …