Global ETD Search

21	New concept for organic lightemitting devices under high excitations using emission from a metal-free area Slowik, Irma, Fischer, Axel, Gutsche, Stefan, Brückner, Robert, Fröb, Hartmut, Lenk, Simone, Reineke, Sebastian, Leo, Karl 08 August 2019 (has links) In this work, a new organic light-emitting device (OLED) structure is proposed that allows light-emission from a metal-free device region, thus reducing the hurdles towards an electrically pumped organic solid state laser (OSL). Our design concept employs a stepwise change from a highly conductive but opaque metal part to a highly transparent but less conductive intrinsic emission layer. Here, the high current densities are localized to an area of a few micrometer in square, which is in the range of the mode volume of the transverse mode of an organic vertical-cavity surface-emitting laser (VCSEL). Besides these experimental results, we present findings from simulations which further support the feasibility of our design concept. Using an equivalent circuit approach, representing the current ow in the device, we calculate the time-dependent length of the emission zone and give estimations for appropriate material parameters. info:eu-repo/classification/ddc/620 ddc:620
22	Aging Propagation Modeling and State-of-Health Assessment in Advanced Battery Systems Cordoba Arenas, Andrea Carolina January 2013 (has links) No description available. Mechanical Engineering Lithium-ion battery pack PHEV vehicles System cycle-life prognosis Capacity and power fade NMC-LMO cathode Aging modeling Cell-to-cell variations Equivalent circuit model Lumped-capacitance thermal model
23	EM Characterization of Magnetic Photonic / Degenerate Band Edge Crystals and Related Antenna Realizations Mumcu, Gokhan 01 October 2008 (has links) No description available. Electrical Engineering Electromagnetism magnetic photonic crystals MPC degenerate band edge crystals DBE anisotropic media metamaterials printed antennas miniature antennas equivalent circuit model surface integral equation SIE uniaxial medium dyadic Green's function
24	Battery Capacity Prediction Using Deep Learning : Estimating battery capacity using cycling data and deep learning methods Rojas Vazquez, Josefin January 2023 (has links) The growing urgency of climate change has led to growth in the electrification technology field, where batteries have emerged as an essential role in the renewable energy transition, supporting the implementation of environmentally friendly technologies such as smart grids, energy storage systems, and electric vehicles. Battery cell degradation is a common occurrence indicating battery usage. Optimizing lithium-ion battery degradation during operation benefits the prediction of future degradation, minimizing the degradation mechanisms that result in power fade and capacity fade. This degree project aims to investigate battery degradation prediction based on capacity using deep learning methods. Through analysis of battery degradation and health prediction for lithium-ion cells using non-destructive techniques. Such as electrochemical impedance spectroscopy obtaining ECM and three different deep learning models using multi-channel data. Additionally, the AI models were designed and developed using multi-channel data and evaluated performance within MATLAB. The results reveal an increased resistance from EIS measurements as an indicator of ongoing battery aging processes such as loss o active materials, solid-electrolyte interphase thickening, and lithium plating. The AI models demonstrate accurate capacity estimation, with the LSTM model revealing exceptional performance based on the model evaluation with RMSE. These findings highlight the importance of carefully managing battery charging processes and considering factors contributing to degradation. Understanding degradation mechanisms enables the development of strategies to mitigate aging processes and extend battery lifespan, ultimately leading to improved performance. Battery management system Lithium-ion batteries battery degradation mechanisms battery cycle life Electrical impedance spectroscopy Capacity estimation Incremental capacity analysis Deep learning models Equivalent circuit model Long short-term memory Feedforward neural network Conventional neural network multi-channel data Incremental capacity analysis Energy Engineering Energiteknik Energy Systems Energisystem Infrastructure Engineering Infrastrukturteknik Software Engineering Programvaruteknik Computer Sciences Datavetenskap (datalogi)

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