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Treffer Dokumente:

Erscheinungsdatum	Titel	Autor(en)
2021	Non-uniform circumferential expansion of cylindrical Li-ion cells - the potato effect	Hemmerling, Jessica; Guhathakurta, Jajnabalkya; Dettinger, Falk; Fill, Alexander; Birke, Kai Peter
2021	Investigation of a novel ecofriendly electrolyte-solvent for lithium-ion batteries with increased thermal stability	Ströbel, Marco; Kiefer, Larissa; Birke, Kai Peter
2021	Impedance based temperature estimation of lithium ion cells using artificial neural networks	Ströbel, Marco; Pross-Brakhage, Julia; Kopp, Mike; Birke, Kai Peter
2021	Towards high efficiency CO2 utilization by glow discharge plasma	Renninger, Stephan; Rößner, Paul; Stein, Jan; Lambarth, Maike; Birke, Kai Peter
2021	Influence of temperature and electrolyte composition on the performance of lithium metal anodes	Boroujeni, Sanaz Momeni; Fill, Alexander; Ridder, Alexander; Birke, Kai Peter
2021	Comparison of aqueous- and non-aqueous-based binder polymers and the mixing ratios for Zn//MnO2 batteries with mildly acidic aqueous electrolytes	Fitz, Oliver; Ingenhoven, Stefan; Bischoff, Christian; Gentischer, Harald; Birke, Kai Peter; Saracsan, Dragos; Biro, Daniel
2021	Methodology for determining time-dependent lead battery failure rates from field data	Conradt, Rafael; Heidinger, Frederic; Birke, Kai Peter
2023	How cell design affects the aging behavior : comparing electrode-individual aging processes of high-energy and high-power lithium-ion batteries using high precision coulometry	Jagfeld, Sebastian Michael Peter; Birke, Kai Peter; Fill, Alexander; Keil, Peter
2023	Techno-economic potential of plasma-based CO2 splitting in power-to-liquid plants	Kaufmann, Samuel Jaro; Rößner, Paul; Renninger, Stephan; Lambarth, Maike; Raab, Moritz; Stein, Jan; Seithümmer, Valentin; Birke, Kai Peter
2023	Hybrid modeling of lithium-ion battery : physics-informed neural network for battery state estimation	Singh, Soumya; Ebongue, Yvonne Eboumbou; Rezaei, Shahed; Birke, Kai Peter