Weitere Angebote zum Thema Batterietechnik

CFP-5388

Li-ion batteries degrade during their usage (cyclic aging) and during storage (calendar aging). The reasons for degradation on the cell level are aging mechanisms on the material and electrode level which are accessible by Post-Mortem analysis. However, even after extensive usage of batteries and a reduction of the capacity to 70-80 % of the initial […]

CFP-5393

Die hohe spezifische Energiedichte der Li-Sauerstoff-Batterie macht das System zu einer extrem attraktiven und intensiv untersuchten Technologie für die Stromspeicherung der Zukunft. Zentrale, materialwissenschaftliche Herausforderungen liegen in der elektrochemischen Stabilität des Elektrolyten gegenüber den reaktiven Sauerstoffspezies und gegenüber Li-Metall, der dendritenfreie Zyklisierung der Li-basierten strukturierten Anode, der Bereitstellung einer Gasdiffusionselektrode (GDE) mit passender Porenstruktur, Benetzungsverhalten […]

CFP-5395

Neue nachhaltige Batterietechnologien besitzen häufig die Vorteile weniger umweltbelastende Rohmaterialien einzusetzen, effizienterr Produktionstechnologien zu ermöglichen oder bessere Recyclierbarkeit zu besitzen. Mithilfe eines digitalen Tools (dem Digitalen Cell Designer) können einzelne Elemente, wie Zellbestandteile, geometrische Komponentenauslegung und Zelldesign systematisch angepasst und variiert werden, so dass maßgeschneiderte Technologievergleiche unter nahezu realen Bedingungen erzielt werden können. Anhand der […]

CFP-5399

During operation, lithium-ion batteries experience a mechanical deformation due to the strain induced by the electrochemical processes, involving the interaction of lithium ions with the crystal structure of the active material of the electrodes. Such deformation originating at the atomic scale has an impact on the macroscopic structural deformation of the battery. Measurements of this […]

CFP-5392

Lithium plating is known to be a central safety and performance issue of lithium-ion cells. Especially for electric vehicles (EVs), lithium plating has become one of the main challenges to tackle to improve longevity, performance and safety of the battery pack. At its onset, lithium plating leads to an accelerated loss of capacity of the […]

CFP-5400

Dry electrode coating technology is emerging as a lower cost and more sustainable alternative to traditional lithium-ion battery (LIB) manufacturing. Desire for lower cost cells is also driving interest and the selection of LFP as the active material. Dry coating technology offers benefits such as lower energy consumption, solvent-free processing, and reduced manufacturing footprint. Polytetrafluoroethylene […]

CFP-5401

The increasing demand for electrochemical energy storage devices such as battery cells both for electromobility and stationary applications [1] poses a need for improving the energy density and performance of current lithium-ion cells. One strategy is to use silicon-based anodes. The main challenge of this material is still the increased volume expansion during lithiation, which […]

CFP-5402

In der Vergangenheit wurden Batteriespeicher-Projekte vor allem zur Eigenbedarfsoptimierung durch Peak Shaving und Peak Shifting geplant. Mittlerweile rückt die Vermarktung der Speicherleistung an den Energiemärkten als zusätzliche Einnahmequelle und wichtige Finanzierungssäule zunehmend in den Fokus. Allerdings stellen die Bedenken um eine schonende Batteriebehandlung und die potenzielle Einschränkung der Lebensdauer des Speichers häufig ein Hemmnis dar, […]

CFP-5405

The B3 Battery Education Network Bavaria (B³) project aims to address the rapidly growing demand for specialized qualifications in battery cell production, a critical area in the ongoing electrification of the automotive industry. Funded by the German Federal Ministry for Economic Affairs and Climate Action (BMWK), this initiative brings together a multidisciplinary consortium of leading […]

CFP-5404

With the growth of electric vehicles and stationary energy storage, accurately assessing battery suitability for second-life applications is essential. This study presents a machine learning approach that utilizes clustering techniques to identify aging mechanisms and determine previous usage conditions, offering a robust framework for second-life evaluation. Traditional assessments of state of health (SOH), which rely […]