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Suche nach „[TC Plattling MoMo]“ hat 104 Publikationen gefunden
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    DigitalMobilAngewandte InformatikTC Plattling MoMo

    Beitrag (Sammelband oder Tagungsband)

    Nicki Bodenschatz, Markus Eider, Andreas Berl

    Mixed-Integer-Linear-Programming model for the charging scheduling of electric vehicle fleets

    [Accepted for publication]

    Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]

    2020

    MobilNachhaltigAngewandte InformatikTC Plattling MoMo

    Beitrag (Sammelband oder Tagungsband)

    Markus Eider, Andreas Berl

    Requirements for prescriptive recommender systems extending the lifetime of EV batteries

    [Accepted for publication]

    Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]

    2020

    MobilNachhaltigTC Plattling MoMo

    Patent

    M. Thannhuber, Michael Sternad

    BATTERY PACK FOR AN ELECTRICAL DEVICE, CHARGING DEVICE FOR A BATTERY PACK AND METHOD FOR OPERATING A BATTERY PACK

    2019

    MobilNachhaltigTC Plattling MoMo

    Zeitschriftenartikel

    E. dos Santos Sardinha, Michael Sternad, H. Wilkening, H. Martin, G. Wittstock

    Nascent SEI-Surface Films on Single Crystalline Silicon Investigated by Scanning Electrochemical Microscopy

    ACS Applied Energy Materials, vol. 2, no. 2, pp. 1388-1392

    2019

    DOI: 10.1021/acsaem.8b01967

    Abstract anzeigen

    Silicon is a promising high-capacity host material for negative electrodes in lithium-ion batteries with low potential for the lithiation/delithiation reaction that is outside the stability window of organic carbonate electrolytes. Thus, the use of such electrodes critically depends on the formation of a protective solid electrolyte interphase (SEI) from the decomposition products of electrolyte components. Due to the large volume change upon charging, exposure of the electrode material to the electrolyte must be expected, and facile reformation of SEI is a scope for improving the stabilities of such electrodes. Here, we report the formation of incipient SEI layers on monocrystalline silicon by in situ imaging of their passivating properties using scanning electrochemical microscopy after potentiodynamic charging to different final potentials. The images show a local initiation of the SEI growth at potentials of around 1.0 V vs Li/Li+ in 1 M LiClO4 in propylene carbonate.

    DigitalAngewandte InformatikTC Plattling MoMo

    Beitrag (Sammelband oder Tagungsband)

    A. Tulbure, Berthold Bäuml

    Superhuman Performance in Tactile Material Classification and Differentiation with a Flexible Pressure-Sensitive Skin

    Proceedings of the 2018 IEEE-RAS International Conference on Humanoid Robots (Humanoids 2018) [November 6-9, 2018; Beijing China]

    2018

    DOI: 10.1109/HUMANOIDS.2018.8624987

    Abstract anzeigen

    In this paper, we show that a robot equipped with a flexible and commercially available tactile skin can exceed human performance in the challenging tasks of material classification, i.e., uniquely identifying a given material by touch alone, and of material differentiation, i.e., deciding if the materials in a given pair of materials are the same or different. For processing the high dimensional spatio-temporal tactile signal, we use a new tactile deep learning network architecture TactNet-II which is based on TactNet [1] and is significantly extended with recently described architectural enhancements and training methods. TactN et- Iireaches an accuracy for the material classification task as high as 95.0 %. For the material differentiation a new Siamese network based architecture is presented which reaches an accuracy as high as 95.4 %. All the results have been achieved on a new challenging dataset of 36 everyday household materials. In a thorough human performance experiment with 15 subjects we show that the human performance is significantly lower than the robot's performance for both tactile tasks.

    MobilNachhaltigTC Plattling MoMo

    Zeitschriftenartikel

    M. Uitz, Michael Sternad, S. Breuer, C. Täubert, T. Traußnig, V. Hennige, I. Hanzu, M. Wilkening

    Aging of Tesla's 18650 Lithium-Ion Cells: Correlating Solid-Electrolyte-Interphase Evolution with Fading in Capacity and Power

    Journal of The Electrochemical Society, vol. 164, no. 14

    2017

    DOI: 10.1149/2.0171714jes

    Abstract anzeigen

    The long-term performance of commercial lithium-ion batteries used in today's electric vehicles is of utmost importance for automotive requirements. Here, we use Tesla's 18650 cells manufactured by Panasonic to elucidate the origins of capacity fading and impedance increase during both calendar and cycle aging. Full cell testing is systematically carried out at three different temperatures (25°C, 40°C, 60°C). The cells are galvanostatically cycled at different C-rates (0.33 C – 1 C) and calendar aging is monitored at 4 different state-of-charges (SOC). Operation at high temperatures turns out to have the largest effect on both the capacity and direct current (DC) impedance. As an example, after 500 cycles at 25°C and 40°C capacity fading is approximately 12%, while at 60°C the fading reaches 22%. Our DC impedance measurements reveal the same trend. Post mortem analysis indicate that aging is strongly related to changes of the solid electrolyte interphase (SEI). Hence, the changes in performance are correlated with the change in composition (and thickness) of the SEI formed. In particular, we quantitatively measure the formation of electrically insulating LiF and find a correlation between overall DC impedance of the cells and lithium fluoride of the SEI.

    MobilNachhaltigTC Plattling MoMo

    Patent

    Michael Sternad, R. Janski, K. Schmut, M. Wilkening, K. Karlovsky, M. Sorger, A. Dunst, G. Hirtler

    VERFAHREN ZUM HERSTELLEN EINER BATTERIE, BATTERIE UND INTEGRIERTE SCHALTUNG.

    2017

    MobilNachhaltigTC Plattling MoMo

    Patent

    K. Karlovsky, A. Dunst, G. Hirtler, R. Janski, K. Schmut, M. Sorger, Michael Sternad, M. Wilkening

    METHOD OF MANUFACTURING A BATTERY, BATTERY AND INTEGRATED CIRCUIT

    2017

    MobilNachhaltigTC Plattling MoMo

    Zeitschriftenartikel

    R. Janski, M. Fugger, M. Forster, M. Sorger, A. Dunst, I. Hanzu, Michael Sternad, M. Wilkening

    Lithium barrier materials for on-chip Si-based microbatteries

    Journal of Materials Science: Materials in Electronics, vol. 28, no. 19, pp. 14605-14614

    2017

    DOI: 10.1007/s10854-017-7325-4

    Abstract anzeigen

    The integration of lithium-ion batteries, featuring ultra-high discharge rates, directly into silicon-based semiconductor devices opens unique paths towards the development of new mobile micro-electronics applications. Nevertheless, the small and mobile lithium ions have to be confined within the battery area of the silicon chip, otherwise the nearby fine microelectronics devices will be irreversibly damaged. Hence, a barrier material that blocks Li+ transport from the active components of the battery into the surrounding crystalline Si is needed. Here we evaluated the capability of magnetron sputtered barrier films of nitrides and alloys of refractory metals to prevent lithium ion diffusion and, thus, the formation of Li–Si phases outside the battery area. In order to determine the Li profiles in the barrier layer and in the silicon substrate, time-of-flight secondary ion mass spectroscopy was applied for profiling the first microns. In combination with electrochemical testing it turned out that titanium nitride as well as tantalum nitride barriers are able to significantly block Li ion migration.

    DigitalAngewandte InformatikTC Plattling MoMo

    Beitrag (Sammelband oder Tagungsband)

    S. Baishya, Berthold Bäuml

    Robust material classification with a tactile skin using deep learning

    Proceedings of the 2016 IEEE International Workshop on Intelligent Robots and Systems (IROS) [October 9-14, 2016; Daejeon, South Korea]

    2016

    DOI: 10.1109/IROS.2016.7758088

    Abstract anzeigen

    Attaching a flexible tactile skin to an existing robotic system is relatively easy compared to integrating most other tactile sensor designs. In this paper we show that material classification purely based on the spatio-temporal signal of a flexible tactile skin can be robustly performed in a real world setting. We compare different classification algorithms and feature sets, including features adopted and extended from previous works in tactile material classification and that are based on the signal's Fourier spectrum. Our convolutional deep learning network architecture, which we also present here, is directly fed with the raw 24000 dimensional sensor signal and performs best by a large margin, reaching a classification accuracy of up to 97.3%.

    DigitalAngewandte InformatikTC Plattling MoMo

    Beitrag (Sammelband oder Tagungsband)

    R. Wagner, U. Frese, Berthold Bäuml

    Unified treatment of sparse and dense data in graph-based least squares

    Proceedings of the 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids 2016) [November 15-17, 2016; Cancún, Mexico]

    2016

    DOI: 10.1109/HUMANOIDS.2016.7803393

    Abstract anzeigen

    In this paper, we present a novel method of incorporating dense (e.g., depth, RGB-D) data in a general purpose least-squares graph optimization framework. Rather than employing a loosely coupled, layered design where dense data is first used to estimate a compact SE(3) transform which then forms a link in the optimization graph as in previous approaches [28, 10, 26], we use a tightly coupled approach that jointly optimizes over each individual (i.e. per-pixel) dense measurement (on the GPU) and all other traditional sparse measurements (on the CPU). Concretely, we use Kinect depth data and KinectFusion-style point-to-plane ICP measurements. In particular, this allows our approach to handle cases where neither dense, nor sparse measurements separately define all degrees of freedom (DoF) while taken together they complement each other and yield the overall maximum likelihood solution. Nowadays it is common practice to flexibly model various sensors, measurements and to be estimated variables in least-squares frameworks. Our intention is to extend this flexibility to applications with dense data. Computationally, the key is to combine the many dense measurements on the GPU efficiently and communicate only the results to the sparse framework on the CPU in a way that is mathematically equivalent to the full least-squares system. This results in <;20 ms for a full optimization run. We evaluate our approach on a humanoid robot, where in a first experiment we fuse Kinect data and odometry in a laboratory setting, and in a second experiment we fuse with an unusual “sensor”: using the embodiedness of the robot we estimate elasticities in the kinematic chain modeled as unknown, time-varying joint offsets while it moves its arms in front of a tabletop manipulation workspace. In both experiments only tightly coupled optimization will localize the robot correctly.

    MobilNachhaltigTC Plattling MoMo

    Vortrag

    M. Uitz, Michael Sternad, M. Wilkening

    Ageing studies on commercial 18650 batteries used in Tesla model S electric vehicles

    Poster presentation

    International Battery Association Meeting 2016, Nantes, France

    2016

    MobilNachhaltigTC Plattling MoMo

    Vortrag

    M. Uitz, Michael Sternad, M. Wilkening

    Ageing of Commercial 18650 Batteries Used in Tesla Model S Electric Vehicles

    18th International Meeting on Lithium Batteries, Chicago, IL, USA

    2016

    MobilNachhaltigTC Plattling MoMo

    Vortrag

    Michael Sternad, M. Wilkening

    A Microbattery Made from Monocrystalline Silicon

    Thermec 2016, Graz, Österreich

    2016

    MobilNachhaltigTC Plattling MoMo

    Zeitschriftenartikel

    Michael Sternad, M. Forster, M. Wilkening

    The microstructure matters: breaking down the barriers with single crystalline silicon as negative electrode in Li-ion batteries

    Scientific Reports (Nature Publishing Group), vol. 6, no. Article number: 31712 (2016)

    2016

    DOI: 10.1038/srep31712

    Abstract anzeigen

    Silicon-based microelectronics forms a major foundation of our modern society. Small lithium-ion batteries act as the key enablers of its success and have revolutionised portable electronics used in our all everyday's life. While large-scale LIBs are expected to help establish electric vehicles, on the other end of device size chip-integrated Si-based μ-batteries may revolutionise microelectronics once more. In general, Si is regarded as one of the white hopes since it offers energy densities being ten times higher than conventional anode materials. The use of monocrystalline, wafer-grade Si, however, requires several hurdles to be overcome since it its volume largely expands during lithiation. Here, we will show how 3D patterned Si wafers, prepared by the sophisticated techniques from semiconductor industry, are to be electrochemically activated to overcome these limitations and to leverage their full potential being reflected in stable charge capacities (>1000 mAhg(-1)) and high Coulomb efficiencies (98.8%).

    MobilNachhaltigTC Plattling MoMo

    Vortrag

    Michael Sternad, M. Forster, M. Wilkening

    Powering the Digital Revolution: A Miniaturized Lithium Battery Made of Single-Crystalline Silicon

    Poster presentation

    18th International Meeting on Lithium Batteries, Chicago, IL, USA

    2016

    MobilNachhaltigTC Plattling MoMo

    Vortrag

    Michael Sternad

    Die große Macht der kleinen Ionen - was Lithium-Ionen-Batterien zm Erfolg führt(e)

    Erfolgsfaktoren-Vortragsreihe, Kuchl, Österreich

    2016

    MobilNachhaltigTC Plattling MoMo

    Zeitschriftenartikel

    A. Dunst, Michael Sternad, M. Wilkening

    Overall conductivity and NCL-type relaxation behavior in nanocrystalline sodium peroxide Na 2 O 2 —Consequences for Na-oxygen batteries

    Materials Science and Engineering: B, vol. 211, no. September, pp. 85-93

    2016

    DOI: 10.1016/j.mseb.2016.06.002

    Abstract anzeigen

    Metal air batteries are considered as promising candidates for room-temperature batteries with high-energy densities. On discharge, atmospheric oxygen is reduced at the positive electrode which, in the ideal case, forms the discharge products in a reversible cell reaction. In Na-O2 batteries upon discharge either sodium peroxide (Na2O2) or sodium superoxide (NaO2) is reported to be formed. So far, the charge carrier transport remains relatively unexplored but is expected to crucially determine the efficiency of such energy storage systems. Na2O2 is predicted to be an electrical insulator wherein the transport presumably is determined by very slow hopping processes. Understanding the basic fundamental properties of the overall charge carrier transport, including also nanostructured forms of Na2O2, is key to developing high-energy metal oxygen batteries. The present study answers the question how overall, i.e., total, conductivity changes when going from microcrystalline to nanocrystalline, defect-rich Na2O2. Nanocrystalline Na2O2 was prepared via a top-down approach, viz by high-energy ball milling. Milling does not only shrink the average crystallite diameter but also introduces a large amount of defects which are anticipated to influence total conductivity. It turned out that even after vigorous mechanical treatment the conductivity of the sample is only increased by ca. one order of magnitude. The activation energy remains almost untouched. Thus, the increase seen might be attributed to an enhanced number of charge carriers. Low-temperature data reveals nearly constant loss relaxation behavior which has frequently explained in terms of strictly localized electrical relaxation processes.

    MobilNachhaltigTC Plattling MoMo

    Zeitschriftenartikel

    H. Bülter, Michael Sternad, Santos Sardinha, Eduardo dos, J. Witt, C. Dosche, M. Wilkening, G. Wittstock

    Investigation of the Electron Transfer at Si Electrodes: Impact and Removal of the Native SiO 2 Layer

    Journal of The Electrochemical Society, vol. 163, no. 3

    2016

    DOI: 10.1149/2.0731603jes

    Abstract anzeigen

    Silicon is considered as one of the promising alternatives to graphite as negative electrode material in lithium-ion batteries. The electron transfer at uncharged microstructured and planar Si was characterized using the feedback mode of scanning electrochemical microscopy (SECM) and 2,5-di-tert-butyl-1,4-dimethoxybenzene as redox mediator. Approach curves and images demonstrate that the electron transfer rate constants at pristine Si are relatively small due to the native SiO2 surface layer. In addition, the electron transfer rate constants show local variations because of the heterogeneous coverage of SiO2. The SiO2 layer is at least partially removed by mechanical contact and abrasion with the microelectrode probe. After SiO2 removal by the microelectrode or by a hydrofluoric acid dip, the electron transfer rate constants increase strongly and remain heterogeneous. Moreover, the surface of the Si electrodes is at least stable over hours after SiO2 removal. The consequences for investigating the formation of the solid electrolyte interphase (SEI) on Si are discussed.

    DigitalAngewandte InformatikTC Plattling MoMo

    Zeitschriftenartikel

    T. Hammer, Berthold Bäuml

    The Communication Layer of the aRDx Software Framework: Highly Performant and Realtime Deterministic

    Journal of Intelligent & Robotic Systems, vol. 77, pp. 171-185

    2015

    DOI: 10.1007/s10846-014-0095-9

    Abstract anzeigen

    Communication between software components is one of the most important functionalities a software framework for modern complex robotic systems has to provide. Here, we present the highly performant realtime communication layer of our new robotic software framework aRDx (agile robot development – next generation), with, e.g., zero-copy semantics, realtime determinism and detailed control of the QoS (quality of service). In addition, we give an in- depth performance comparison to other popular robotic frameworks, namely ROS, YARP, Orocos and aRD.