The Li battery digital twin – Combining 4D modelling, electro-chemistry, neutron, and ion-beam techniques
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389005%3A_____%2F24%3A00588312" target="_blank" >RIV/61389005:_____/24:00588312 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.jpowsour.2024.234681" target="_blank" >https://doi.org/10.1016/j.jpowsour.2024.234681</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jpowsour.2024.234681" target="_blank" >10.1016/j.jpowsour.2024.234681</a>
Alternative languages
Result language
angličtina
Original language name
The Li battery digital twin – Combining 4D modelling, electro-chemistry, neutron, and ion-beam techniques
Original language description
Knowledge driven materials and component design is key for improving the performance of Li-ion batteries and solving the remaining hurdles for next-generation battery concepts like all-solid-state batteries. While the spatial and time dependent distribution of Li would help elucidating performance bottlenecks and degradation phenomena, only a few analysis techniques are available, due to the unique nature of Li, especially as Li+-ion. In fact, only two non-destructive techniques with good time resolution can combine spatial information with absolute quantification of Li, one being Neutron Depth Profiling (NDP), the other Ion-Beam-Analysis (IBA). While both exploit nuclear processes, the information gained is complementary. NDP provides high depth resolution, but only limited lateral resolution, whereas IBA has high lateral, but only limited depth resolution. In this study, we benchmark both techniques for the first time using a set of Li-battery test-samples and show the strengths and synergies of both techniques. The derived information regarding the depth dependent Li-concentration is then used to validate a microstructure resolved continuum model of charge, discharge, and relaxation behavior of the cells and electro-chemical analysis. This fundamental work demonstrates a new route to optimize Li batteries on material and component level by combining advanced characterization and digital twin modelling.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10301 - Atomic, molecular and chemical physics (physics of atoms and molecules including collision, interaction with radiation, magnetic resonances, Mössbauer effect)
Result continuities
Project
<a href="/en/project/EF16_013%2F0001812" target="_blank" >EF16_013/0001812: Center of Accelerators and Nuclear Analytical Methods - OP</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Power Sources
ISSN
0378-7753
e-ISSN
1873-2755
Volume of the periodical
610
Issue of the periodical within the volume
AUG
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
12
Pages from-to
234681
UT code for WoS article
001275408300001
EID of the result in the Scopus database
2-s2.0-85193565518