Physics-based electrochemical battery models derived from porous electrode theory are a
very powerful tool for understanding lithium-ion batteries, as well as for improving their …

In our increasingly electrified society, lithium–ion batteries are a key element. To design,
monitor or optimise these systems, data play a central role and are gaining increasing …

Non-aqueous potassium-ion batteries (KIBs) represent a promising complementary
technology to lithium-ion batteries due to the availability and low cost of potassium …

The market dynamics, and their impact on a future circular economy for lithium-ion batteries
(LIB), are presented in this roadmap, with safety as an integral consideration throughout the …

The potential of acoustic signatures to be used for State-of-Charge (SoC) estimation is
demonstrated using artificial neural network regression models. This approach represents a …

Li-ion batteries in electric vehicles must be utilized more efficiently to lower their economic
and environmental cost. To achieve this increase in efficiency, it is of large interest to …

This work presents a novel physics-based model for lithium plating and dendrite formation in
lithium-ion batteries. The formation of Li metal is an undesirable side-effect of fast charging …

Voltage-based battery metrics are ubiquitous and essential in battery manufacturing
diagnostics. They enable electrochemical “fingerprinting” of batteries at the end of the …

Wadsley-Roth niobates are promising anode materials for high-power lithium-ion batteries.
The kinetics and thermodynamics of Li-ion transport in MoNb 12 O 33 (MNO) electrodes …

Electrochemical processes underlie the functioning of electrochemical devices for energy
storage and conversion. In this paper, electrochemoinformatics is defined as a scientific …