[HTML][HTML] Lithium-ion battery data and where to find it

G Dos Reis, C Strange, M Yadav, S Li - Energy and AI, 2021 - Elsevier
Lithium-ion batteries are fuelling the advancing renewable-energy based world. At the core
of transformational developments in battery design, modelling and management is data. In …

A continuum of physics-based lithium-ion battery models reviewed

F Brosa Planella, W Ai, AM Boyce, A Ghosh… - Progress in …, 2022 - iopscience.iop.org
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 …

The challenge and opportunity of battery lifetime prediction from field data

V Sulzer, P Mohtat, A Aitio, S Lee, YT Yeh… - Joule, 2021 - cell.com
Accurate battery life prediction is a critical part of the business case for electric vehicles,
stationary energy storage, and nascent applications such as electric aircraft. Existing …

How machine learning will revolutionize electrochemical sciences

A Mistry, AA Franco, SJ Cooper, SA Roberts… - ACS energy …, 2021 - ACS Publications
Electrochemical systems function via interconversion of electric charge and chemical
species and represent promising technologies for our cleaner, more sustainable future …

Accelerated battery lifetime simulations using adaptive inter-cycle extrapolation algorithm

V Sulzer, P Mohtat, S Pannala, JB Siegel… - Journal of The …, 2021 - iopscience.iop.org
We propose algorithms to speed up physics-based battery lifetime simulations by one to two
orders of magnitude compared to the state-of-the-art. First, we propose a reformulation of the …

A minimal information set to enable verifiable theoretical battery research

A Mistry, A Verma, S Sripad, R Ciez, V Sulzer… - 2021 - ACS Publications
Batteries are an enabling technology for addressing sustainability through the electrification
of various forms of transportation 1 and grid storage. 2 Batteries are truly multi-scale, multi …

From Atoms to Cells: Multiscale Modeling of LiNixMnyCozO2 Cathodes for Li-Ion Batteries

LM Morgan, MM Islam, H Yang, K O'Regan… - ACS Energy …, 2021 - ACS Publications
First-generation cathodes for commercial lithium-ion batteries are based on layered
transition-metal oxides. Research on ternary compounds, such as LiCoO2, evolved into …

Artificial intelligence-navigated development of high-performance electrochemical energy storage systems through feature engineering of multiple descriptor families …

H Adamu, SI Abba, PB Anyin, Y Sani, M Qamar - Energy Advances, 2023 - pubs.rsc.org
With the increased and rapid development of artificial intelligence-based algorithms coupled
with the non-stop creation of material databases, artificial intelligence (AI) has played a great …

IonMonger 2.0: software for free, fast and versatile simulation of current, voltage and impedance response of planar perovskite solar cells

W Clarke, LJ Bennett, Y Grudeva, JM Foster… - Journal of …, 2023 - Springer
The second generation of the open-source MATLAB-based software tool IonMonger, for
solving drift–diffusion models of charge transport in planar perovskite solar cells, is …

[HTML][HTML] A Single Particle Model with Electrolyte and Side Reactions for degradation of lithium-ion batteries

FB Planella, WD Widanage - Applied Mathematical Modelling, 2023 - Elsevier
Battery degradation, which is the reduction of performance over time, is one of the main
roadblocks to the wide deployment of lithium-ion batteries. Physics-based models, such as …