Prognostics for Lithium-ion batteries for electric Vertical Take-off and Landing aircraft using data-driven machine learning

DOI: 10.1016/j.egyai.2023.100233 Authors: Mihaela Mitici, Birgitte Hennink, Marilena Pavel, Jianning Dong Abstract: The health management of batteries is a key enabler for the adoption of Electric Vertical Take-off and Landing vehicles (eVTOLs). Currently, few studies...

Ti surface doping of LiNi_0.5Mn_1.5O_4−δ positive electrodes for lithium ion batteries

DOI: 10.1039/c7ra12932g Authors: Fulya Ulu Okudur, Jan D’Haen, Thomas Vranken, Dries De Sloovere, Maarten Verheijen, Olesia M. Karakulina, Artem M. Abakumov, Joke Hadermann, Marlies K. Van Bael, An Hardy Abstract: The particle surface of LiNi0.5Mn1.5O4-δ (LNMO), a...

Optimization of lithium content in LiFePO₄ for superior electrochemical performance: the role of impurities

DOI: 10.1039/c7ra10112k Authors: Kruti K. Halankar, Balaji P. Mandal, Manoj K. Jangid, Amartya Mukhopadhyay, Sher Singh Meena, R. Acharya, A. K. Tyagi Abstract: Carbon coated Li x FePO4 samples with systematically varying Li-content (x = 1, 1.02, 1.05, 1.10) have been...

Visualizing Lithium Ion Transport in Solid‐State Li–S Batteries Using ⁶Li Contrast Enhanced Neutron Imaging

DOI: 10.1002/adfm.202302619 Authors: Robert Bradbury, Nikolay Kardjilov, Georg F. Dewald, Alessandro Tengattini, Lukas Helfen, Wolfgang G. Zeier, Ingo Manke Abstract: Abstract The elucidation of lithium ion transport pathways through a solid electrolyte separator is a...

Communication—Identifying and Managing Reversible Capacity Losses that Falsify Cycle Ageing Tests of Lithium-Ion Cells

DOI: 10.1149/1945-7111/abbce1 Authors: Robert Burrell, Alana Zülke, Peter Keil, Harry E. Hoster Abstract: We report on a cycle ageing study of commercial NCA/Gr+Si cells, in which reversible capacity fluctuations turn a central experimental finding upside down: an...