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The model-aided cathode design for lithium ion batteries is presented, which enables a systematically minimization of loss processes and an increase of power and energy density. The cathode model is parametrized without values from literature by combining microstructure analysis via FIB/SEM tomography and electrochemical impedance spectroscopy and finally validated.
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We have developed a microfluidic two-layered channel system based on polycarbonate to investigate the transmigration of cancer cells under flow conditions and defined shear rate using live cell microscopy. The two layers are separated by a porous membrane with an endothelial monolayer on top of the membrane to mimic the blood vessel wall. To extend the measuring capabilities of our microfluidic chip, gold electrodes were structured on the membrane using optical lithography and chemical etching.
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To estimate the reachable specific energy and power of aqueous Li-air batteries, a physical based model was developed, which for the first time includes the microstructure of Li-air cells. Parameters like solid/liquid interface resistances were quantified with help of a newly developed setup. Simulations based on the developed model revealed that even conservative estimations promise an increase in the specific energy by at least a factor of two compared to present Li-ion batteries.
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In order to understand the current-voltage behaviour of a Lithium-Ion Battery, its impedance needs to be investigated in the low-frequency domain. This work deals with measurement, modelling and model validation in that low-frequency domain and introduces the Distribution-Function-of-Differential-Capacity (DDC) as a new tool for investigating capacity contributions of different particle sizes and particle types inside of a Lithium-Ion Battery.
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Solid oxide fuel cells (SOFC) achieve high efficiencies, the lower the internal electrochemical losses are. This work investigates insulating secondary phases at the cathode/electrolyte interface that are formed during fabrication. Full cells and model systems are electrochemically characterized, analyzed by electron microscopy and reconstructed by tomography. A FEM model reveals performance limiting factors. As a result, an optimized production routine is proposed.
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