Search Results - "Warnecke, Alexander"
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Introduction of capacity difference analysis (CDA) for analyzing lateral lithium-ion flow to determine the state of covering layer evolution
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
Calendar and cycle life study of Li(NiMnCo)O2-based 18650 lithium-ion batteries
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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3
Real-Time Radar-Based Gesture Detection and Recognition Built in an Edge-Computing Platform
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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4
Differential voltage analysis as a tool for analyzing inhomogeneous aging: A case study for LiFePO4|Graphite cylindrical cells
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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5
Post-mortem analysis on LiFePO4|Graphite cells describing the evolution & composition of covering layer on anode and their impact on cell performance
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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6
Non-invasive yet separate investigation of anode/cathode degradation of lithium-ion batteries (nickel–cobalt–manganese vs. graphite) due to accelerated aging
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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7
Technical Viability of Battery Second Life: A Study From the Ageing Perspective
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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8
A White Box Equivalent Neural Network Ensemble for Health Estimation of Lithium-Ion Batteries
Published in IEEE transactions on transportation electrification (10-06-2024)“…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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9
New method evaluating currents keeping the voltage constant for fast and highly resolved measurement of Arrhenius relation and capacity fade
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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10
Transferring the internal processes of the lead–acid battery to the lithium–sulfur battery by verification with electrochemical impedance spectroscopy
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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11
Modeling the Quarter-Vehicle: Use of Passive Sensor Data for Road Condition Monitoring
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
Multi-Feature Encoder for Radar-Based Gesture Recognition
Published in 2020 IEEE International Radar Conference (RADAR) (01-04-2020)“…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
Evaluating Explanation Methods for Deep Learning in Security
Published in 2020 IEEE European Symposium on Security and Privacy (EuroS&P) (01-09-2020)“…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
Applying Quarter-Vehicle Model Simulation for Road Elevation Measurements Utilizing the Vehicle Level Sensor
Published in 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall) (01-11-2020)“…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
Live Demonstration: Passive Sensor Setup for Road Condition Monitoring
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
Calendar and cycle life study of Li(NiMnCo)O sub(2)-based 18650 lithiumion batteries
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…”
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Journal Article -
17
Untersuchung und Klassifikation der Fahreraufmerksamkeit bei längerer partiell automatisierter Fahrt
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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18
Detecting Various Road Damage Types in Global Countries Utilizing Faster R-CNN
Published in 2020 IEEE International Conference on Big Data (Big Data) (10-12-2020)“…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
Machine Unlearning of Features and Labels
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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20
Evil from Within: Machine Learning Backdoors through Hardware Trojans
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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