05 Fakultät Informatik, Elektrotechnik und Informationstechnik

Permanent URI for this collectionhttps://elib.uni-stuttgart.de/handle/11682/6

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Start date: 2020Subject: search.filters.subject.621.3

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    Entwicklung einer höchsteffizienten, weichschaltenden Totem-Pole PFC Stufe basierend auf GaN Transistoren
    (2020) Lu, Siyuan
    In der Arbeit wird eine Totem-Pole Power Factor Correction (PFC1)-Stufe vorgestellt, die als die Eingangsstufe für ein zweistufiges Ladegerät für E-Bike mit Nennleistung 180 W arbeitet. Und die Ausgangsspannung ist zwischen 360 V und 400 V einstellbar. Die PFC ist auf GaN2-HEMT3 von TI4 basiert und so aufgebaut, dass sie in zwei unterschiedlichen Modulationsverfahren betreiben kann:Triangular Current Mode(TCM5) und Continuous Current Mode(CCM6). Bei CCM wird die PFC mit konstanter Schaltfrequenz und Hart Switsching betrieben. Dagegen arbeitet sie bei TCM mit variabler Schaltfrequenz und Zero Voltage Switching(ZVS7), die zu besserem Wirkungsgrad und schlechterem Leistungsfaktor(PF8) im Vergleich zu bei CCM führt. Die Hauptaufgabe der Arbeit ist Entwurf, Aufbau und Inbetriebnahme der PFC-Stufe. Und die Messungen für Verläufe der elektrischen Größen, Wirkungsgrad und Temperatur der Bauteile werden bei unterschiedlicher Systemkonfigurationen durchgeführt, um die Entwurf und Aufbau zu validieren und Systemverhalten zu vergleichen. Der maximale Wirkungsgrad des Systems erreicht über 99 % durch die Anwendung von GaN-HEMT und TCM.
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    Analytic free-energy expression for the 2D-Ising model and perspectives for battery modeling
    (2023) Markthaler, Daniel; Birke, Kai Peter
    Although originally developed to describe the magnetic behavior of matter, the Ising model represents one of the most widely used physical models, with applications in almost all scientific areas. Even after 100 years, the model still poses challenges and is the subject of active research. In this work, we address the question of whether it is possible to describe the free energy A of a finite-size 2D-Ising model of arbitrary size, based on a couple of analytically solvable 1D-Ising chains. The presented novel approach is based on rigorous statistical-thermodynamic principles and involves modeling the free energy contribution of an added inter-chain bond DAbond(b, N) as function of inverse temperature b and lattice size N. The identified simple analytic expression for DAbond is fitted to exact results of a series of finite-size quadratic N N-systems and enables straightforward and instantaneous calculation of thermodynamic quantities of interest, such as free energy and heat capacity for systems of an arbitrary size. This approach is not only interesting from a fundamental perspective with respect to the possible transfer to a 3D-Ising model, but also from an application-driven viewpoint in the context of (Li-ion) batteries where it could be applied to describe intercalation mechanisms.
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    Auslegung und Inbetriebnahme eines leistungsstarken und kompakten SiC Wechselrichters
    (2021) Volz, Frederic
    Die vorliegende Arbeit befasst sich mit der Konzipierung, dem Aufbau und der Inbetriebnahme eines dreiphasigen Wechselrichters mit Leistungs-MOSFETs aus Siliziumkarbid, welcher die Lebensdaueruntersuchung unter realen Betriebsbedingungen ermöglichen soll. Der SiC Wechselrichter wird hierfür mit einem speziell für Lebensdaueruntersuchungen abgestimmten Kühlsystem ausgestattet. Im Rahmen der vorliegenden Masterarbeit findet die Integration des SiC Wechselrichters in einen Prüfstand mit einem ein- und ausgangsseitig gekoppelten Wechselrichter statt, welcher künftig als aktiver Power Cycling Prüfstand betrieben wird. Hierdurch wird eine gezielte Bauteilalterung unter realen Betriebsbedingungen ermöglicht.
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    Sharp MIR plasmonic modes in gratings made of heavily doped pulsed laser-melted Ge1-xSnx
    (2023) Berkmann, Fritz; Steuer, Oliver; Ganss, Fabian; Prucnal, Slawomir; Schwarz, Daniel; Fischer, Inga Anita; Schulze, Jörg
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    Modeling and experimental investigation of the interaction between pressure-dependent aging and pressure development due to the aging of lithium-ion cells
    (2023) Avdyli, Arber; Fill, Alexander; Birke, Kai Peter
    In order to meet the increasing demands of the battery in terms of range, safety and performance, it is necessary to ensure optimal operation conditions of a lithium-ion cell. In this thesis, the influence of mechanical boundary conditions on the cell is investigated theoretically and experimentally. First, fundamental equations are derived that lead to coupled models that can be parameterized based on specific cell measurements and predict the pressure evolution due to capacity aging and vice versa. The model is used to derive optimal operating points of the cell, which can be considered in the module design.
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    Surface charge density and induced currents by self-charging sliding drops
    (2024) Bista, Pravash; Ratschow, Aaron D.; Stetten, Amy Z.; Butt, Hans-Jürgen; Weber, Stefan A. L.
    Spontaneous charge separation in drops sliding over a hydrophobized insulator surface is a well-known phenomenon and lots of efforts have been made to utilize this effect for energy harvesting. For maximizing the efficiency of such devices, a comprehensive understanding of the dewetted surface charge would be required to quantitatively predict the electric current signals, in particular for drop sequences. Here, we use a method based on mirror charge detection to locally measure the surface charge density after drops move over a hydrophobic surface. For this purpose, we position a metal electrode beneath the hydrophobic substrate to measure the capacitive current induced by the moving drop. Furthermore, we investigate drop-induced charging on different dielectric surfaces together with the surface neutralization processes. The surface neutralizes over a characteristic time, which is influenced by the substrate and the surrounding environment. We present an analytical model that describes the slide electrification using measurable parameters such as the surface charge density and its neutralization time. Understanding the model parameters and refining them will enable a targeted optimization of the efficiency in solid–liquid charge separation.
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    Impedance based temperature estimation of lithium ion cells using artificial neural networks
    (2021) Ströbel, Marco; Pross-Brakhage, Julia; Kopp, Mike; Birke, Kai Peter
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    Power quality mitigation via smart demand-side management based on a genetic algorithm
    (2022) Eisenmann, Adrian; Streubel, Tim; Rudion, Krzysztof
    In modern electrical grids, the number of nonlinear grid elements and actively controlled loads is rising. Maintaining the power quality will therefore become a challenging task. This paper presents a power quality mitigation method via smart demand-side management. The mitigation method is based on a genetic algorithm guided optimization for smart operational planning of the grid elements. The algorithm inherits the possibility to solve multiple, even competing, objectives. The objective function uses and translates the fitness functions of the genetic algorithm into a minimization or maximization problem, thus narrowing down the complexity of the addressed high cardinality optimization problem. The NSGA-II algorithm is used to obtain feasible solutions for the auto optimization of the demand-side management. A simplified industrial grid with five different machines is used as a case study to showcase the minimization of the harmonic distortion to normative limits for all time steps during a day at a specific grid node, while maintaining the productivity of the underlying industrial process.
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    Ultra-low-noise readout circuits for magnetoresistive sensors
    (2023) Mohamed, Ayman; Anders, Jens (Prof. Dr.-Ing.)
    The continuous search for highly sensitive, agile and cost-effective sensors for magnetic biosensing applications has been met with high performance magnetoresistive (MR) sensors. While the MR effect has been discovered 150 years ago, there is a growing trend of improving the sensitivity of MR sensors while keeping their noise performance as low as possible. However, such improvements have to be complemented with high performance frontends that can effectively amplify the minute MR sensor's signals while keeping the system's noise floor unaltered. More importantly, the designed frontends have to be equipped with offset compensation peripheral circuits that can efficiently handle the large spread of the base resistance in MR sensors with high MR ratios such as in tunnel magnetoresistive (TMR) sensors. In this thesis, we developed multiple frontend electronics that successfully interfaced MR sensors while, simultaneously, achieving competitive noise performance compared to state-of-the-art (SoA) designs tailored for MR sensor readout. The first variant of chips are specically designed for high performance and high linearity designs thanks to a novel implementation of an ultra-low-noise current bias achieving SoA current noise floor of 2.2 pA/sqrt(Hz) and chopped voltage-mode amplification stages resulting in a total voltage noise floor of 8 nV/sqrt(Hz), including a TMR sensor and a reference resistor with base resistance of 1 kOhm. In order to integrate an analog-to-digital converter (ADC) without substantial additional power and/or area, we show in this work a continuous-time current-mode Sigma-Delta modulator (CT C-SDM) that can directly interface MR sensors without additional amplifiers. Our proposed design does not only show a competitive noise floor of 8.1 pA/sqrt(Hz), but also features a novel DC servo loop (DSL) around the modulator that maximizes the useful dynamic range (DR) of the modulator while successfully rejecting the undesired DC offsets of MR sensors. Both design variants shown in this thesis, pave the way to designing high performance point-of-care (PoC) systems for in-vitro diagnostics while keeping their costs low compared to alternative bulky and expensive systems.