Mechanics of Materials for Li-Battery Systems

Author(s):  
Katerina E. Aifantis ◽  
Kurt Maute ◽  
Martin L. Dunn ◽  
Stephen A. Hackney
Author(s):  
Emily Foley ◽  
Anthony Wong ◽  
Rebecca Vincent ◽  
Alexis Manche ◽  
Aryan Zaveri ◽  
...  

Sodium(Na)-ion batteries are the most explored ‘beyond-Li’ battery systems, yet their energy densities are still largely limited by the positive electrode material. Na3FeF6 is a promising Earth-abundant containing cathode and...


2001 ◽  
Vol 97-98 ◽  
pp. 28-32 ◽  
Author(s):  
D. Aurbach ◽  
Y. Gofer ◽  
Z. Lu ◽  
A. Schechter ◽  
O. Chusid ◽  
...  

2019 ◽  
Vol 19 (2) ◽  
pp. 365-377
Author(s):  
M Zirak ◽  
H Alehdaghi ◽  
A Moshfegh ◽  
◽  
◽  
...  
Keyword(s):  

2020 ◽  
Vol 70 ◽  
pp. 101656
Author(s):  
Hedda Ransan-Cooper ◽  
Heather Lovell ◽  
Phillipa Watson ◽  
Andrew Harwood ◽  
Veryan Hann

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1397
Author(s):  
Yang-Duan Su ◽  
Yuliya Preger ◽  
Hannah Burroughs ◽  
Chenhu Sun ◽  
Paul Ohodnicki

Applications of fiber optic sensors to battery monitoring have been increasing due to the growing need of enhanced battery management systems with accurate state estimations. The goal of this review is to discuss the advancements enabling the practical implementation of battery internal parameter measurements including local temperature, strain, pressure, and refractive index for general operation, as well as the external measurements such as temperature gradients and vent gas sensing for thermal runaway imminent detection. A reasonable matching is discussed between fiber optic sensors of different range capabilities with battery systems of three levels of scales, namely electric vehicle and heavy-duty electric truck battery packs, and grid-scale battery systems. The advantages of fiber optic sensors over electrical sensors are discussed, while electrochemical stability issues of fiber-implanted batteries are critically assessed. This review also includes the estimated sensing system costs for typical fiber optic sensors and identifies the high interrogation cost as one of the limitations in their practical deployment into batteries. Finally, future perspectives are considered in the implementation of fiber optics into high-value battery applications such as grid-scale energy storage fault detection and prediction systems.


Crystals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 120
Author(s):  
Qing Peng

Although meta-generalized-gradient approximations (meta-GGAs) are believed potentially the most accurate among the efficient first-principles calculations, the performance has not been accessed on the nonlinear mechanical properties of two-dimensional nanomaterials. Graphene, like two-dimensional silicon carbide g-SiC, has a wide direct band-gap with applications in high-power electronics and solar energy. Taken g-SiC as a paradigm, we have investigated the performance of meta-GGA functionals on the nonlinear mechanical properties under large strains, both compressive and tensile, along three deformation modes using Strongly Constrained and Appropriately Normed Semilocal Density Functional (SCAN) as an example. A close comparison suggests that the nonlinear mechanics predicted from SCAN are very similar to that of Perdew-Burke-Ernzerhof (PBE) formulated functional, a standard Density Functional Theory (DFT) functional. The improvement from SCAN calculation over PBE calculation is minor, despite the considerable increase of computing demand. This study could be helpful in selection of density functionals in simulations and modeling of mechanics of materials.


Sign in / Sign up

Export Citation Format

Share Document