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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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