BMBF 03XP0334

Recent Publications

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http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article Börner, M. F. (Corresponding author) ; Mohsseni, A. M. ; De, N. ; Faber, M. ; Krause, F. ; Li, W. ; Bihn, S. ; Ringbeck, F. ; Sauer, D. U.FZJ*
Manufacturing cost comparison of tabless vs. standard electrodes for cylindrical lithium-ion batteries
Journal of energy storage 77, 109941 - (2024) [10.1016/j.est.2023.109941]2024   Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article Wang, Q. ; Ye, M. ; Cai, X. ; Sauer, D. U.FZJ* ; Li, W.
Transferable data-driven capacity estimation for lithium-ion batteries with deep learning: A case study from laboratory to field applications
Applied energy 350, 121747 - (2023) [10.1016/j.apenergy.2023.121747]2023   Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article Yang, S. (Corresponding author) ; Zhang, C. (Corresponding author) ; Jiang, J. ; Zhang, W. ; Chen, H. ; Jiang, Y. ; Sauer, D. U.FZJ* ; Li, W. (Corresponding author)
Fast screening of lithium-ion batteries for second use with pack-level testing and machine learning
eTransportation 17, 100255 - (2023) [10.1016/j.etran.2023.100255]2023   Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article Li, W. (Corresponding author) ; Demir, I. ; Cao, D. ; Jöst, D. ; Ringbeck, F. ; Junker, M. ; Sauer, D. U.FZJ*
Data-driven systematic parameter identification of an electrochemical model for lithium-ion batteries with artificial intelligence
Energy storage materials 44, 557 - 570 (2022) [10.1016/j.ensm.2021.10.023]2022   Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article Li, W. (Corresponding author) ; Fan, Y. ; Ringbeck, F. ; Jöst, D. ; Sauer, D. U.FZJ*
Unlocking electrochemical model-based online power prediction for lithium-ion batteries via Gaussian process regression
Applied energy 306, 118114 - (2022) [10.1016/j.apenergy.2021.118114]2022   Files BibTeX | EndNote: XML, Text | RIS

All known publications ...
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