Machine learning approach for full impedance spectrum study of Li-ion battery

Dokumenttyp:: Konferenzbeitrag
Autor(en):: Chen, Cuili; Yesilbas, Goktug; Lenz, Alexander; Schneider, Oliver; Knoll, Alois Christian
Titel:: Machine learning approach for full impedance spectrum study of Li-ion battery
Kongress- / Buchtitel:: IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
Verlag / Institution:: IEEE
Publikationsdatum:: 18.10.2020
Jahr:: 2020
Print-ISBN:: 9781728154145
Volltext / DOI:: doi:10.1109/iecon43393.2020.9254622
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