TY - JOUR A1 - Banos, Oresti A1 - Damas, Miguel A1 - Pomares, Hector A1 - Rojas, Ignacio A1 - Villalonga, Claudia A1 - Glösekötter, Peter T1 - PhysioDroid: Combining Wearable Health Sensors and Mobile Devices for a Ubiquitous, Continuous, and Personal Monitoring JF - Hindawi Publishing Corporation The Scientific World Journal Y1 - 2014 SP - 1 EP - 12 ER - TY - JOUR A1 - Löchte, Andre A1 - Gebert, Ole A1 - Heming, Daniel A1 - Sanders, Tilmann A1 - Glösekötter, Peter T1 - State of Charge estimation of zinc air batteries using electrochemical impedance spectroscopy JF - Neural Computing and Applications Y1 - 2018 VL - 2018 SP - 1 EP - 9 PB - Springer ER - TY - JOUR A1 - Löchte, Andre A1 - Heming, Daniel A1 - Gebert, Ole A1 - Horsthemke, Ludwig A1 - Glösekötter, Peter T1 - Oxygen consumption of zinc-air batteries and theirperformance at low oxygen concentration levels JF - 2018 16th Biennial Baltic Electronics Conference (BEC) N2 - 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. Y1 - 2018 U6 - http://dx.doi.org/10.1109/BEC.2018.8600972 SP - 1 EP - 4 ER - TY - JOUR A1 - Weiss, Robin A1 - Glösekötter, Peter A1 - Prestes, Edson A1 - Kolberg, Mariana ED - Springer, T1 - Hybridisation of Sequential Monte Carlo Simulation with Non-linear Bounded-error State Estimation Applied to Global Localisation of Mobile Robots JF - Journal of Intelligent & Robotic Systems N2 - 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. KW - Interval analysis · Particle filtering · Kalman filtering · Bayesian filtering · Sequential Monte Carlo simulation · Bounded-error estimation Y1 - 2019 U6 - http://dx.doi.org/10.1007/s10846-019-01118-7 SP - 1 EP - 23 ER - TY - JOUR A1 - Staacke, Robert A1 - John, Roger A1 - Wunderlich, Ralf A1 - Horsthemke, Ludwig A1 - Knolle, Wolfgang A1 - Laube, Christian A1 - Glösekötter, Peter A1 - Burchard, Bernd A1 - Abel, Bernd A1 - Meijer, Jan T1 - Isotropic Scalar Quantum Sensing of Magnetic Fields for Industrial Application JF - Advanced Quantum Technologies N2 - 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. KW - Isotropic Scalar Y1 - 2020 U6 - http://dx.doi.org/10.1002/qute.202000037 SP - 1 EP - 8 PB - Wiley-Vch Verlag CY - Weinheim ER - TY - JOUR A1 - Löchte, Andre A1 - Thranow, Jan-Ole A1 - Gebing, Marcel A1 - Horsthemke, Ludwig A1 - Glösekötter, Peter T1 - Forschungsprojekt Zink-Luft-Akkumulator an der FH Münster JF - VDI Ingenieur forum N2 - 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 Elektro­mobilität machen deutlich: Das Thema der Zwischenspeicherung elektrischer Energie ist von höchster gesellschaftlicher Relevanz und verlangt zwingend nach einer Lösung. Neue Technologien, die umweltfreundlich, sicher, leistungsfähig und bezahlbar zugleich sind, müssen deshalb entwickelt werden. KW - Zink-Luft-Akkumulator Y1 - 2020 VL - H 45620 IS - 2/2020 SP - 50 EP - 51 ER - TY - JOUR A1 - Löchte, Andre A1 - Rojas Ruiz, Ignacio A1 - Glösekötter, Peter T1 - Battery State Estimation with ANN and SVR Evaluating Electrochemical Impedance Spectra Generalizing DC Currents JF - Applied Sciences N2 - 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 KW - Battery State Estimation Y1 - 2021 SN - 978-84-1117-173-1 U6 - http://dx.doi.org/10.3390/app12010274 VL - 12 IS - 1 SP - 275 ER - TY - JOUR A1 - Homrighausen, Jonas A1 - Horsthemke, Ludwig A1 - Pogorzelski, Jens A1 - Trinschek, Sarah A1 - Glösekötter, Peter A1 - Gregor, Markus T1 - Edge-Machine-Learning-Assisted Robust Magnetometer Based on Randomly Oriented NV-Ensembles in Diamond JF - Sensors N2 - 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. Y1 - 2023 UR - https://www.mdpi.com/1424-8220/23/3/1119 U6 - http://dx.doi.org/10.3390/s23031119 VL - 23 IS - 3 ER - TY - JOUR A1 - Pogorzelski, Jens A1 - Horsthemke, Ludwig A1 - Homrighausen, Jonas A1 - Stiegekötter, Dennis A1 - Gregor, Markus A1 - Glösekötter, Peter T1 - Compact and Fully Integrated LED Quantum Sensor Based on NV Centers in Diamond JF - Compact and Fully Integrated LED Quantum Sensor Based on NV Centers in Diamond N2 - 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. KW - Diamond Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-175692 VL - 2024 IS - 24(3) ER - TY - JOUR A1 - Wetter, Christof A1 - Brügging, Elmar A1 - Häner, Jurek A1 - Jantze, H.-A. A1 - Annas, Sven A1 - Glösekötter, Peter A1 - Horsthemke, L. A1 - Heller, A. A1 - Scholz, Dieter A1 - Reineck, S. A1 - Baumkötter, Daniel A1 - Grüner, Victoria A1 - Budelmann, J. T1 - NeoBio: Neue Entwicklungswerkzeuge zur Optimierung der Mischregime in Bioreaktoren JF - Fachagentur Nachwachsende Rohstoffe Y1 - 2023 UR - https://www.fh-muenster.de/egu/fue/fue_gebiete/biogas--und-landwirtschaft/neobio.php ER -