Advanced synchrotron micro characterization of laser post-processed plasma sprayed LLZO solid-state battery electrolyteShow others and affiliations
2025 (English)In: 20Th Nordic Laser Materials Processing Conference, IOP PUBLISHING LTD , 2025, Vol. 1332, article id 012022Conference paper, Published paper (Refereed)
Abstract [en]
Garnet-type solid-state electrolytes such as Li7La3Zr2O12 (LLZO) offer high ionic conductivity but present challenges in scalable processing due to phase instability and poor interfacial contact. In this study, LLZO thin-film coatings were fabricated via suspension plasma spraying (SPS) and subjected to laser -based thermal post-processing to improve surface and microstructural properties. Synchrotron micro-XRD, along with SEM, EDS, and surface profilometry was employed to analyze the effects of laser post-processing. Results reveal that laser processing reduced surface roughness by up to nearly 40%, eliminated the La(OH)(3) phase which is known to increase interfacial resistance, and led to the formation of Li2ZrO3 and Li2CO3 due to localized remelting. These findings highlight the dual role of laser post-processing in improving both morphological and chemical characteristics of SPS LLZO, offering a promising strategy to enhance solid electrode -solid electrolyte interface quality in solid-state battery architectures.
Place, publisher, year, edition, pages
IOP PUBLISHING LTD , 2025. Vol. 1332, article id 012022
Series
IOP Conference Series-Materials Science and Engineering, ISSN 1757-899X
National Category
Manufacturing, Surface and Joining Technology Other Electrical Engineering, Electronic Engineering, Information Engineering Materials Chemistry
Research subject
Production Technology
Identifiers
URN: urn:nbn:se:hv:diva-24561DOI: 10.1088/1757-899X/1332/1/012022ISI: 001569520900022OAI: oai:DiVA.org:hv-24561DiVA, id: diva2:2026440
Conference
20th Nordic Laser Materials Processing Conference-NOLAMP, Kongens Lyngby, Denmark, Aug 26-28, 2025
Funder
Swedish Energy Agency, 2021-002227VinnovaEU, Horizon 2020, 958174
Note
CC-BY 4.0
This work was funded by the GREEN-BAT project (2022–2025) under the M-ERA.Net framework, with support from the Research Council of Finland, M-ERA.NET 3 (European Commission), and national/regional funders in Germany and Sweden. Support from European Union Horizon 2020 research and innovation programme under grant agreement No 857470 is also gratefully acknowledged. The Swedish part was additionally supported by the NovelCABs project (Swedish Energy Agency, Dnr 2021-002227) and Vinnova through M-ERA.NET 3. This project also received funding from the EU Horizon 2020 programme (grant agreement No. 958174).
2026-01-092026-01-092026-01-21