Search Results - "Warnecke, Alexander"

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  1. 1

    Introduction of capacity difference analysis (CDA) for analyzing lateral lithium-ion flow to determine the state of covering layer evolution by Lewerenz, Meinert, Warnecke, Alexander, Sauer, Dirk Uwe

    Published in Journal of power sources (30-06-2017)
    “…In this contribution a simple in-situ method named capacity difference analysis (CDA) is introduced to characterize lateral flow of lithium-ions within the…”
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    Journal Article
  2. 2

    Calendar and cycle life study of Li(NiMnCo)O2-based 18650 lithium-ion batteries by ECKER, Madeleine, NIETO, Nerea, KÄBITZ, Stefan, SCHMALSTIEG, Johannes, BLANKE, Holger, WARNECKE, Alexander, SAUER, Dirk Uwe

    Published in Journal of power sources (01-02-2014)
    “…An extensive set of accelerated aging tests has been carried out employing a Li-ion high energy 18650 system (2.05 Ah), negative electrode: carbon, positive…”
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    Journal Article
  3. 3

    Real-Time Radar-Based Gesture Detection and Recognition Built in an Edge-Computing Platform by Sun, Yuliang, Fei, Tai, Li, Xibo, Warnecke, Alexander, Warsitz, Ernst, Pohl, Nils

    Published in IEEE sensors journal (15-09-2020)
    “…In this paper, a real-time signal processing framework based on a 60 GHz frequency-modulated continuous wave (FMCW) radar system to recognize gestures is…”
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    Journal Article
  4. 4

    Differential voltage analysis as a tool for analyzing inhomogeneous aging: A case study for LiFePO4|Graphite cylindrical cells by Lewerenz, Meinert, Marongiu, Andrea, Warnecke, Alexander, Sauer, Dirk Uwe

    Published in Journal of power sources (2017)
    “…In this work the differential voltage analysis (DVA) is evaluated for LiFePO4|Graphite cylindrical cells aged in calendaric and cyclic tests. The homogeneity…”
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    Journal Article
  5. 5

    Post-mortem analysis on LiFePO4|Graphite cells describing the evolution & composition of covering layer on anode and their impact on cell performance by Lewerenz, Meinert, Warnecke, Alexander, Sauer, Dirk Uwe

    Published in Journal of power sources (2017)
    “…During cyclic aging of lithium-ion batteries the formation of a μm-thick covering layer on top of the anode facing the separator is found on top of the anode…”
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    Journal Article
  6. 6

    Non-invasive yet separate investigation of anode/cathode degradation of lithium-ion batteries (nickel–cobalt–manganese vs. graphite) due to accelerated aging by Shafiei Sabet, Pouyan, Warnecke, Alexander Johannes, Meier, Frank, Witzenhausen, Heiko, Martinez-Laserna, Egoitz, Sauer, Dirk Uwe

    Published in Journal of power sources (15-02-2020)
    “…The non-invasive investigation of lithium-ion batteries is of great importance, e.g. for improvement of electrode materials or monitoring the state of health…”
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    Journal Article
  7. 7

    Technical Viability of Battery Second Life: A Study From the Ageing Perspective by Martinez-Laserna, Egoitz, Sarasketa-Zabala, Elixabet, Villarreal Sarria, Igor, Stroe, Daniel-Ioan, Swierczynski, Maciej, Warnecke, Alexander, Timmermans, Jean-Marc, Goutam, Shovon, Omar, Noshin, Rodriguez, Pedro

    Published in IEEE transactions on industry applications (01-05-2018)
    “…Reusing electric vehicle batteries once retired from the automotive application is stated as one of the possible solutions to reduce electric vehicle costs…”
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    Journal Article
  8. 8

    A White Box Equivalent Neural Network Ensemble for Health Estimation of Lithium-Ion Batteries by Ghosh, Nitika, Garg, Akhil, Warnecke, Alexander, Gao, Liang

    “…The recent data-driven solutions for state of health (SoH) estimation of lithium-ion batteries (LIBs) are black-box due to their inexplicable characteristics,…”
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    Journal Article
  9. 9

    New method evaluating currents keeping the voltage constant for fast and highly resolved measurement of Arrhenius relation and capacity fade by Lewerenz, Meinert, Käbitz, Stefan, Knips, Marcus, Münnix, Jens, Schmalstieg, Johannes, Warnecke, Alexander, Sauer, Dirk Uwe

    Published in Journal of power sources (15-06-2017)
    “…The evaluation of floating currents is a powerful method to characterize capacity fade induced by calendaric aging and enables a highly resolved representation…”
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    Journal Article
  10. 10

    Transferring the internal processes of the lead–acid battery to the lithium–sulfur battery by verification with electrochemical impedance spectroscopy by Brieske, Daniel Martin, Warnecke, Alexander, Sauer, Dirk Uwe

    Published in Journal of energy storage (01-11-2021)
    “…As one of the next generations of lithium–ion technology, the lithium–sulfur battery is considered a promising rechargeable energy system. Compared to the…”
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    Journal Article
  11. 11

    Modeling the Quarter-Vehicle: Use of Passive Sensor Data for Road Condition Monitoring by Kortmann, Felix, Horstkotter, Julin, Warnecke, Alexander, Meier, Nicolas, Heger, Jens, Funk, Burkhardt, Drews, Paul

    Published in IEEE sensors journal (15-07-2021)
    “…In recent years, automated driving has become one of the most important research fields in the automotive industry. A key component for a successful…”
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    Journal Article
  12. 12

    Multi-Feature Encoder for Radar-Based Gesture Recognition by Sun, Yuliang, Fei, Tai, Li, Xibo, Warnecke, Alexander, Warsitz, Ernst, Pohl, Nils

    “…In this paper, a multi-feature encoder for gesture recognition based on a 60 GHz frequency-modulated continuous wave (FMCW) radar system is proposed to extract…”
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    Conference Proceeding
  13. 13

    Evaluating Explanation Methods for Deep Learning in Security by Warnecke, Alexander, Arp, Daniel, Wressnegger, Christian, Rieck, Konrad

    “…Deep learning is increasingly used as a building block of security systems. Unfortunately, neural networks are hard to interpret and typically opaque to the…”
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    Conference Proceeding
  14. 14

    Applying Quarter-Vehicle Model Simulation for Road Elevation Measurements Utilizing the Vehicle Level Sensor by Kortmann, Felix, Rodeheger, Malte, Warnecke, Alexander, Meier, Nicolas, Heger, Jens, Funk, Burkhardt, Drews, Paul

    “…In the past years, automated driving has become one of the most important research fields in the automotive industry. A key component for a successful…”
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    Conference Proceeding
  15. 15

    Live Demonstration: Passive Sensor Setup for Road Condition Monitoring by Kortmann, Felix, Horstkotter, Julin, Warnecke, Alexander, Meier, Nicolas, Heger, Jens, Funk, Burkhardt, Drews, Paul

    Published in 2020 IEEE Sensors (25-10-2020)
    “…The automation of vehicles is a major challenge and subject to many publications focusing on sensor systems, capable of receiving environmental information. As…”
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    Conference Proceeding
  16. 16

    Calendar and cycle life study of Li(NiMnCo)O sub(2)-based 18650 lithiumion batteries by Ecker, Madeleine, Nieto, Nerea, Kabitz, Stefan, Schmalstieg, Johannes, Blanke, Holger, Warnecke, Alexander, Sauer, Dirk Uwe

    Published in Journal of power sources (01-01-2014)
    “…An extensive set of accelerated aging tests has been carried out employing a Li-ion high energy 18650 system (2.05 Ah), negative electrode: carbon, positive…”
    Get full text
    Journal Article
  17. 17

    Untersuchung und Klassifikation der Fahreraufmerksamkeit bei längerer partiell automatisierter Fahrt by Hugenroth, Alexander, Warnecke, Alexander, Bertram, Torsten

    Published in Forschung im Ingenieurwesen (01-03-2022)
    “…Zusammenfassung Um die Unfallzahlen weiter zu senken, schreibt die Europäische Union ab 2030 eine höhere Fahrerüberwachung für neue Fahrzeuge vor. Bislang…”
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    Journal Article
  18. 18

    Detecting Various Road Damage Types in Global Countries Utilizing Faster R-CNN by Kortmann, Felix, Talits, Kevin, Fassmeyer, Pascal, Warnecke, Alexander, Meier, Nicolas, Heger, Jens, Drews, Paul, Funk, Burkhardt

    “…Road damages are of great interest for federal road authorities and their infrastructure management as well as the automated driving task and thus safety and…”
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    Conference Proceeding
  19. 19

    Machine Unlearning of Features and Labels by Warnecke, Alexander, Pirch, Lukas, Wressnegger, Christian, Rieck, Konrad

    Published 26-08-2021
    “…Removing information from a machine learning model is a non-trivial task that requires to partially revert the training process. This task is unavoidable when…”
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    Journal Article
  20. 20

    Evil from Within: Machine Learning Backdoors through Hardware Trojans by Warnecke, Alexander, Speith, Julian, Möller, Jan-Niklas, Rieck, Konrad, Paar, Christof

    Published 17-04-2023
    “…Backdoors pose a serious threat to machine learning, as they can compromise the integrity of security-critical systems, such as self-driving cars. While…”
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    Journal Article