A comprehensive review of the lithium-ion battery state of health prognosis methods combining aging mechanism analysis

Y **ao, J Wen, L Yao, J Zheng, Z Fang, Y Shen - Journal of Energy Storage, 2023 - Elsevier
In the field of new energy vehicles, lithium-ion batteries have become an inescapable
energy storage device. However, they still face significant challenges in practical use due to …

Evaluating the effectiveness of in situ characterization techniques in overcoming mechanistic limitations in lithium–sulfur batteries

S Rehman, M Pope, S Tao, E McCalla - Energy & Environmental …, 2022 - pubs.rsc.org
Advanced energy storage systems require high energy and power densities, abundant
availability of raw materials, low cost, reasonable safety, and environmental benignancy …

Electrode degradation in lithium-ion batteries

JP Pender, G Jha, DH Youn, JM Ziegler, I Andoni… - ACS …, 2020 - ACS Publications
Although Li-ion batteries have emerged as the battery of choice for electric vehicles and
large-scale smart grids, significant research efforts are devoted to identifying materials that …

Machine-learning-revealed statistics of the particle-carbon/binder detachment in lithium-ion battery cathodes

Z Jiang, J Li, Y Yang, L Mu, C Wei, X Yu… - Nature …, 2020 - nature.com
The microstructure of a composite electrode determines how individual battery particles are
charged and discharged in a lithium-ion battery. It is a frontier challenge to experimentally …

The rise of the X-ray atomic pair distribution function method: a series of fortunate events

SJL Billinge - … Transactions of the Royal Society A, 2019 - royalsocietypublishing.org
The atomic pair distribution function (PDF) technique is a powerful approach to gain
quantitative insight into the structure of materials where the structural coherence extends …

Recent developments in X-ray diffraction/scattering computed tomography for materials science

NE Omori, AD Bobitan… - … of the Royal …, 2023 - royalsocietypublishing.org
X-ray diffraction/scattering computed tomography (XDS-CT) methods are a non-destructive
class of chemical imaging techniques that have the capacity to provide reconstructions of …

Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistry

AS Anker, KT Butler, R Selvan, KMØ Jensen - Chemical Science, 2023 - pubs.rsc.org
The rapid growth of materials chemistry data, driven by advancements in large-scale
radiation facilities as well as laboratory instruments, has outpaced conventional data …

[HTML][HTML] Perspectives for next generation lithium-ion battery cathode materials

SG Booth, AJ Nedoma, NN Anthonisamy, PJ Baker… - Apl Materials, 2021 - pubs.aip.org
Transitioning to electrified transport requires improvements in sustainability, energy density,
power density, lifetime, and approved the cost of lithium-ion batteries, with significant …

Bridging structural inhomogeneity to functionality: pair distribution function methods for functional materials development

H Zhu, Y Huang, J Ren, B Zhang, Y Ke… - Advanced …, 2021 - Wiley Online Library
The correlation between structure and function lies at the heart of materials science and
engineering. Especially, modern functional materials usually contain inhomogeneities at an …

Nondestructive Analysis of Commercial Batteries

W Zuo, R Liu, J Cai, Y Hu, M Almazrouei, X Liu… - Chemical …, 2024 - ACS Publications
Electrochemical batteries play a crucial role for powering portable electronics, electric
vehicles, large-scale electric grids, and future electric aircraft. However, key performance …