The Li battery digital twin – Combining 4D modelling, electro-chemistry, neutron, and ion-beam techniques

• DOI: 10.1016/j.jpowsour.2024.234681
• Publication Date: 2024-05-20T17:04:25Z
• Authors: S. Möller; C. Schwab; S. Seidlmayer; M. Clausnitzer; M. Rosen; J. Hörmann; M. Mann; A. Cannavo; G. Ceccio; J. Vacik; K.F. Mouzakka; T. Danner; A. Latz; R. Gilles; M. Finsterbusch
• Keywords: Technology; ddc:600; info:eu-repo/classification/ddc/600; Li batteries; 600; Ion-beam-analysis; All-solid-state batteries; Neutron-depth profiling; Material analysis; info:eu-repo/classification/ddc/620; Ion-beam-analysis All-solid-state batteries Material analysis Neutron-depth profiling Li batteries; 620

Knowledge driven materials and component design is key for improving the performance of Li-ion batteries solving remaining hurdles next-generation battery concepts like all-solid-state batteries. While spatial time dependent distribution Li would help elucidating bottlenecks degradation phenomena, only a few analysis techniques are available, due to unique nature Li, especially as Li+-ion. In fact, two non-destructive with good resolution can combine information absolute quantification one being Neutron Depth Profiling (NDP), other Ion-Beam-Analysis (IBA). both exploit nuclear processes, gained complementary. NDP provides high depth resolution, but limited lateral whereas IBA has lateral, resolution. this study, we benchmark first using set Li-battery test-samples show strengths synergies techniques. The derived regarding Li-concentration then used validate microstructure resolved continuum model charge, discharge, relaxation behavior cells electro-chemical analysis. This fundamental work demonstrates new route optimize on material level by combining advanced characterization digital twin modelling.