@article{BanosDamasPomaresetal.2014, author = {Banos, Oresti and Damas, Miguel and Pomares, Hector and Rojas, Ignacio and Villalonga, Claudia and Gl{\"o}sek{\"o}tter, Peter}, title = {PhysioDroid: Combining Wearable Health Sensors and Mobile Devices for a Ubiquitous, Continuous, and Personal Monitoring}, series = {Hindawi Publishing Corporation The Scientific World Journal}, journal = {Hindawi Publishing Corporation The Scientific World Journal}, pages = {1 -- 12}, year = {2014}, language = {en} } @article{LoechteGebertHemingetal.2018, author = {L{\"o}chte, Andre and Gebert, Ole and Heming, Daniel and Sanders, Tilmann and Gl{\"o}sek{\"o}tter, Peter}, title = {State of Charge estimation of zinc air batteries using electrochemical impedance spectroscopy}, series = {Neural Computing and Applications}, volume = {2018}, journal = {Neural Computing and Applications}, publisher = {Springer}, pages = {1 -- 9}, year = {2018}, language = {de} } @article{LoechteHemingGebertetal.2018, author = {L{\"o}chte, Andre and Heming, Daniel and Gebert, Ole and Horsthemke, Ludwig and Gl{\"o}sek{\"o}tter, Peter}, title = {Oxygen consumption of zinc-air batteries and theirperformance at low oxygen concentration levels}, series = {2018 16th Biennial Baltic Electronics Conference (BEC)}, journal = {2018 16th Biennial Baltic Electronics Conference (BEC)}, doi = {10.1109/BEC.2018.8600972}, pages = {1 -- 4}, year = {2018}, abstract = {Already existing primary Zinc-air batteries providea high energy density. Due to new secondary cells, its tech-nology can become an alternative for energy storage. Sincethese applications require a big amount of storable energy, theoxygen consumption has to be taken into account. This articledetermines the oxygen consumption of zinc-air batteries duringdischarging. Furthermore the performance of zinc-air batteries atlow oxygen concentrations is analyzed. Both aspects are validatedby practical experiments.}, language = {de} } @article{WeissGloesekoetterPrestesetal.2019, author = {Weiss, Robin and Gl{\"o}sek{\"o}tter, Peter and Prestes, Edson and Kolberg, Mariana}, title = {Hybridisation of Sequential Monte Carlo Simulation with Non-linear Bounded-error State Estimation Applied to Global Localisation of Mobile Robots}, series = {Journal of Intelligent \& Robotic Systems}, journal = {Journal of Intelligent \& Robotic Systems}, editor = {Springer,}, doi = {10.1007/s10846-019-01118-7}, pages = {1 -- 23}, year = {2019}, abstract = {Accurate self-localisation is a fundamental ability of any mobile robot. In Monte Carlo localisation, a probability distribution over a space of possible hypotheses accommodates the inherent uncertainty in the position estimate, whereas bounded-error localisation provides a region that is guaranteed to contain the robot. However, this guarantee is accompanied by a constant probability over the confined region and therefore the information yield may not be sufficient for certain practical applications. Four hybrid localisation algorithms are proposed, combining probabilistic filtering with non-linear bounded-error state estimation based on interval analysis. A forward-backward contractor and the Set Inverter via Interval Analysis are hybridised with a bootstrap filter and an unscented particle filter, respectively. The four algorithms are applied to global localisation of an underwater robot, using simulated distance measurements to distinguishable landmarks. As opposed to previous hybrid methods found in the literature, the bounded-error state estimate is not maintained throughout the whole estimation process. Instead, it is only computed once in the beginning, when solving the wake-up robot problem, and after kidnapping of the robot, which drastically reduces the computational cost when compared to the existing algorithms. It is shown that the novel algorithms can solve the wake-up robot problem as well as the kidnapped robot problem more accurately than the two conventional probabilistic filters.}, language = {en} } @article{StaackeJohnWunderlichetal.2020, author = {Staacke, Robert and John, Roger and Wunderlich, Ralf and Horsthemke, Ludwig and Knolle, Wolfgang and Laube, Christian and Gl{\"o}sek{\"o}tter, Peter and Burchard, Bernd and Abel, Bernd and Meijer, Jan}, title = {Isotropic Scalar Quantum Sensing of Magnetic Fields for Industrial Application}, series = {Advanced Quantum Technologies}, journal = {Advanced Quantum Technologies}, publisher = {Wiley-Vch Verlag}, address = {Weinheim}, doi = {10.1002/qute.202000037}, pages = {1 -- 8}, year = {2020}, abstract = {Magnetic field sensors based on quantum mechanic effects are often susceptible to misalignments of the magnetic field or need advanced procedures to compensate for these. Also, the record breaking sensitivities reported for superconducting quantum interference devices and alkali vapor magnetometers come along with large and complex experimental setups. The nitrogen vacancy center in diamond can be used to design a simple, small, and robust sensor without employing microwave radiation. By using compressed nanodiamond particles, it is possible to eliminate the need of an alignment of the magnetic field and still obtain the absolute magnetic flux density in a single measurement. In order to demonstrate the capabilities of this approach, a centimeter-sized modified automotive demo board is employed as a complete sensor with a sensitivity of 78 µT/Wurzel Hz.}, language = {de} } @article{LoechteThranowGebingetal.2020, author = {L{\"o}chte, Andre and Thranow, Jan-Ole and Gebing, Marcel and Horsthemke, Ludwig and Gl{\"o}sek{\"o}tter, Peter}, title = {Forschungsprojekt Zink-Luft-Akkumulator an der FH M{\"u}nster}, series = {VDI Ingenieur forum}, volume = {H 45620}, journal = {VDI Ingenieur forum}, number = {2/2020}, pages = {50 -- 51}, year = {2020}, abstract = {Die wachsenden Anteile fluktuierender rege­nerativer Energien in der Energieversorgung (bis 2020 sollen 30 \% und 2050 sogar So \% des Stroms aus regenerativen Energiequellen stammen) sowie die Steigerung der Elektro­mobilit{\"a}t machen deutlich: Das Thema der Zwischenspeicherung elektrischer Energie ist von h{\"o}chster gesellschaftlicher Relevanz und verlangt zwingend nach einer L{\"o}sung. Neue Technologien, die umweltfreundlich, sicher, leistungsf{\"a}hig und bezahlbar zugleich sind, m{\"u}ssen deshalb entwickelt werden.}, language = {de} } @article{LoechteRojasRuizGloesekoetter2021, author = {L{\"o}chte, Andre and Rojas Ruiz, Ignacio and Gl{\"o}sek{\"o}tter, Peter}, title = {Battery State Estimation with ANN and SVR Evaluating Electrochemical Impedance Spectra Generalizing DC Currents}, series = {Applied Sciences}, volume = {12}, journal = {Applied Sciences}, number = {1}, isbn = {978-84-1117-173-1}, doi = {10.3390/app12010274}, pages = {275}, year = {2021}, abstract = {The demand for energy storage is increasing massively due to the electrification of transport and the expansion of renewable energies. Current battery technologies cannot satisfy this growing demand as they are difficult to recycle, as the necessary raw materials are mined under precarious conditions, and as the energy density is insufficient. Metal-air batteries offer a high energy density as there is only one active mass inside the cell and the cathodic reaction uses the ambient air. Various metals can be used, but zinc is very promising due to its disposability and non-toxic behavior, and as operation as a secondary cell is possible. Typical characteristics of zinc-air batteries are flat charge and discharge curves. On the one hand, this is an advantage for the subsequent power electronics, which can be optimized for smaller and constant voltage ranges. On the other hand, the state determination of the system becomes more complex, as the voltage level is not sufficient to determine the state of the battery. In this context, electrochemical impedance spectroscopy is a promising candidate as the resulting impedance spectra depend on the state of charge, working point, state of aging, and temperature. Previous approaches require a fixed operating state of the cell while impedance measurements are being performed. In this publication, electrochemical impedance spectroscopy is therefore combined with various machine learning techniques to also determine successfully the state of charge during charging of the cell at non-fixed charging currents. Keywords: electrochemical impedance spectroscopy; artificial neural networks; support vector regression; zinc-air battery; state estimation; state of charge}, language = {en} } @article{HomrighausenHorsthemkePogorzelskietal.2023, author = {Homrighausen, Jonas and Horsthemke, Ludwig and Pogorzelski, Jens and Trinschek, Sarah and Gl{\"o}sek{\"o}tter, Peter and Gregor, Markus}, title = {Edge-Machine-Learning-Assisted Robust Magnetometer Based on Randomly Oriented NV-Ensembles in Diamond}, series = {Sensors}, volume = {23}, journal = {Sensors}, number = {3}, doi = {10.3390/s23031119}, year = {2023}, abstract = {Quantum magnetometry based on optically detected magnetic resonance (ODMR) of nitrogen vacancy centers in nano- or micro-diamonds is a promising technology for precise magnetic-field sensors. Here, we propose a new, low-cost and stand-alone sensor setup that employs machine learning on an embedded device, so-called edge machine learning. We train an artificial neural network with data acquired from a continuous-wave ODMR setup and subsequently use this pre-trained network on the sensor device to deduce the magnitude of the magnetic field from recorded ODMR spectra. In our proposed sensor setup, a low-cost and low-power ESP32 microcontroller development board is employed to control data recording and perform inference of the network. In a proof-of-concept study, we show that the setup is capable of measuring magnetic fields with high precision and has the potential to enable robust and accessible sensor applications with a wide measuring range.}, language = {en} } @article{PogorzelskiHorsthemkeHomrighausenetal.2024, author = {Pogorzelski, Jens and Horsthemke, Ludwig and Homrighausen, Jonas and Stiegek{\"o}tter, Dennis and Gregor, Markus and Gl{\"o}sek{\"o}tter, Peter}, title = {Compact and Fully Integrated LED Quantum Sensor Based on NV Centers in Diamond}, series = {Compact and Fully Integrated LED Quantum Sensor Based on NV Centers in Diamond}, volume = {2024}, journal = {Compact and Fully Integrated LED Quantum Sensor Based on NV Centers in Diamond}, number = {24(3)}, doi = {10.25974/fhms-17569}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-175692}, year = {2024}, abstract = {Quantum magnetometry based on optically detected magnetic resonance (ODMR) of nitrogen vacancy centers in diamond nano or microcrystals is a promising technology for sensitive, integrated magnetic-field sensors. Currently, this technology is still cost-intensive and mainly found in research. Here we propose one of the smallest fully integrated quantum sensors to date based on nitrogen vacancy (NV) centers in diamond microcrystals. It is an extremely cost-effective device that integrates a pump light source, photodiode, microwave antenna, filtering and fluorescence detection. Thus, the sensor offers an all-electric interface without the need to adjust or connect optical components. A sensitivity of 28.32nT/Hz---√ and a theoretical shot noise limited sensitivity of 2.87 nT/Hz---√ is reached. Since only generally available parts were used, the sensor can be easily produced in a small series. The form factor of (6.9 × 3.9 × 15.9) mm3 combined with the integration level is the smallest fully integrated NV-based sensor proposed so far. With a power consumption of around 0.1W, this sensor becomes interesting for a wide range of stationary and handheld systems. This development paves the way for the wide usage of quantum magnetometers in non-laboratory environments and technical applications.}, language = {de} } @article{WetterBrueggingHaeneretal.2023, author = {Wetter, Christof and Br{\"u}gging, Elmar and H{\"a}ner, Jurek and Jantze, H.-A. and Annas, Sven and Gl{\"o}sek{\"o}tter, Peter and Horsthemke, L. and Heller, A. and Scholz, Dieter and Reineck, S. and Baumk{\"o}tter, Daniel and Gr{\"u}ner, Victoria and Budelmann, J.}, title = {NeoBio: Neue Entwicklungswerkzeuge zur Optimierung der Mischregime in Bioreaktoren}, series = {Fachagentur Nachwachsende Rohstoffe}, journal = {Fachagentur Nachwachsende Rohstoffe}, year = {2023}, language = {de} }