Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Vincent Laue"'
Publikováno v:
Journal of applied electrochemistry, 51 (9), 1253–1265
Abstract Electrochemical models play a significant role in today’s rapid development and enhancement of lithium-ion batteries. For instance, they are applied for design and process optimization. More recently, model and parameter identifiability ar
Publikováno v:
Journal of The Electrochemical Society, 169 (5), Art.-Nr.: 050510
All-solid state lithium polymer batteries are promising next-generation batteries with high safety and energy density. Their success depends on an improved design with a tailored cathode manufacturing process. To facilitate a knowledge-driven optimal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee509e87fc51aa3bdf76dca7b99413dd
https://publikationen.bibliothek.kit.edu/1000148709
https://publikationen.bibliothek.kit.edu/1000148709
Joint structural and electrochemical modeling: Impact of porosity on lithium-ion battery performance
Publikováno v:
Electrochimica Acta. 314:20-31
Future increases of energy density of lithium-ion batteries require a systematic optimization of electrode structure and the related production process. Such optimization is facilitated by electrochemical models which predict cell performance with go
Autor:
Nina Harting, Marco Heinrich, Nicolas Wolff, Steffen Seitz, Ulrike Krewer, Fridolin Röder, Vincent Laue
Publikováno v:
Batteries & Supercaps. 2:530-540
Publikováno v:
Batteries & Supercaps. 2:248-265
Publikováno v:
Journal of The Electrochemical Society, 166 (13), A2950–A2959
Journal of The Electrochemical Society, 2019 volume 166, issue 13, A2950-A2959 . DOI 10.1149/2.0751913jes--J. Electrochem. Soc.--0013-4651--1945-7111
Journal of The Electrochemical Society, 2019 volume 166, issue 13, A2950-A2959 . DOI 10.1149/2.0751913jes--J. Electrochem. Soc.--0013-4651--1945-7111
The high quality demands of batteries for electric vehicles require powerful tools for error detection in cell manufacturing. Furthermore, cell diagnostics is a serious challenge because performance limitations occur on atomic scale and as batteries
Artificial Neural Network enabled P2D Model Deployment for End-of-Line Battery Cell Characterization
Autor:
Christoph Herrmann, Sebastian Thiede, Artem Turetskyy, Ulrike Krewer, Raphael Lamprecht, Vincent Laue
Publikováno v:
INDIN
The production chain of lithium-ion battery cells is an intricate process with manifold process-product interdependencies leading to a complex product, the battery cell. In order to assess the quality and the performance of the battery cell in the en
Publikováno v:
Computers & Chemical Engineering. 84:217-225
In gas-diffusion-electrodes of electrochemical systems, the interface between gas and liquid electrolyte can move with operation time. It is challenging to mathematically assess moving interfaces, especially if the transient and spatial distribution
Publikováno v:
Journal of Power Sources. 458:228032
Sulfur dioxide is a common air pollutant that has an adverse impact on proton exchange membrane fuel cells (PEMFCs). The present study reports the spatial performance and degradation of low-Pt PEMFCs exposed to trace concentrations of SO2 in a cathod
Publikováno v:
Journal of Power Sources. 438:226949
The paper examines spatial and temporal proton exchange membrane fuel cell (PEMFC) performance under exposure to SO2 in an air stream at low and high operating currents. Cathode poisoning by 2 ppm SO2 resulted in cell voltage losses of 60 and 295 mV