The topic of battery state-of-health monitoring via electrical and non-electrical testing procedures has become of increased interest for scientific researchers, due to the imposed goal of expanded industrial sustaina...
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The topic of battery state-of-health monitoring via electrical and non-electrical testing procedures has become of increased interest for scientific researchers, due to the imposed goal of expanded industrial sustainability. Within the present study, we propose a novel approach for monitoring the temperature of batteries by means of infrared thermography. In order to improve the accuracy of the performed measurements and to overcome the limitations imposed by the cylindrical housing of the batteries, we have developed a unique method for monitoring and capturing the temperature of the battery over the entire housing. An experimental system was built, through which the battery performs a rotational movement relative to its axis, with this rotation motion being synchronized with the frame rate of the thermal camera. The resulting thermographic images are processed using specifically developed software. This software enables the segmentation of certain sections of the battery's surface from a defined spatial perspective. These selected segments are subsequently utilized to generate a three-dimensional representation of the battery's surface temperature's distribution. In this way, errors in the obtained results which are caused by the viewing angle are avoided. Additionally, we developed and presented a method for the increasing of the resolution of captured thermograms.
Strategies to implement emulation of large power electronic converters with different topologies using a generic multiport decomposition technique with different levels by exploiting the parallel nature of field progr...
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Strategies to implement emulation of large power electronic converters with different topologies using a generic multiport decomposition technique with different levels by exploiting the parallel nature of field programmable gate array (FPGA) are explained in this article. Switches are modeled as ON/ OFF resistors and a python-based software tool is developed to precompute the system matrices corresponding to each switch combination. Converters like three-phase five-level-flying-capacitor are modeled inC using the precomputed data, converted to VHDL and implemented on ZCU104 and ZedBoard using Vivado and verified against the corresponding MATLAB-Simulink model. Also, the real-time performance is analyzed by connecting it for the closed-loop speed control of induction motors of various specifications by changing the load torque and reference speed and found out that the latency is less than 6 mu s, which is sufficient for the wide range of variable frequency drive applications.
Strategies to implement emulation of large power electronic converters with different topologies using a generic multiport decomposition technique with different levels by exploiting the parallel nature of field progr...
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ISBN:
(纸本)9781728144283
Strategies to implement emulation of large power electronic converters with different topologies using a generic multiport decomposition technique with different levels by exploiting the parallel nature of field programmable gate array (FPGA) are explained in this article. Switches are modeled as ON/ OFF resistors and a python-based software tool is developed to precompute the system matrices corresponding to each switch combination. Converters like three-phase five-level-flying-capacitor are modeled inC using the precomputed data, converted to VHDL and implemented on ZCU104 and ZedBoard using Vivado and verified against the corresponding MATLAB-Simulink model. Also, the real-time performance is analyzed by connecting it for the closed-loop speed control of induction motors of various specifications by changing the load torque and reference speed and found out that the latency is less than 6 mu s, which is sufficient for the wide range of variable frequency drive applications.
Direct laser writing technique by two-photon polymerization (DLW-2PP) allows to optimize the manufacturing of diffractive phase elements (DPE) using unequal phase steps. Optimization addresses the designing stage, bei...
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Direct laser writing technique by two-photon polymerization (DLW-2PP) allows to optimize the manufacturing of diffractive phase elements (DPE) using unequal phase steps. Optimization addresses the designing stage, being adapted to the specific characteristics of the DPE. The algorithm is implemented in python language and contains an extension consisting in two iterative loops: a local one in the phase space, and a global loop in the object space. The method is tested in the cases of relevant DPEs. The results confirm the advantage of phase mapping with unequal steps compared to equal steps.
Cell membrane deformation is an important feature that occurs during many physiological processes, and its study has been put to good use to investigate cardiomyocyte function. Several methods have been developed to e...
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Cell membrane deformation is an important feature that occurs during many physiological processes, and its study has been put to good use to investigate cardiomyocyte function. Several methods have been developed to extract information on cardiomyocyte contractility. However, no existing computational framework has provided, in a single platform, a straightforward approach to acquire, process, and quantify this type of cellular dynamics. For this reason, we develop CONTRACTIONWAVE, high-performance software written in python programming language that allows the user to process large data image files and obtain contractility parameters by analyzing optical flow from images obtained with videomicroscopy. The software was validated by using neonatal, adult-, and human-induced pluripotent stem-cell-derived cardiomyocytes, treated or not with drugs known to affect contractility. Results presented indicate that CONTRACTIONWAVE is an excellent tool for examining changes to cardiac cellular contractility in animal models of disease and for pharmacological and toxicology screening during drug discovery.
Quantum circuits constructed from Josephson junctions and superconducting electronics are key to many quantum computing and quantum optics applications. Designing these circuits involves calculating the Hamiltonian de...
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Quantum circuits constructed from Josephson junctions and superconducting electronics are key to many quantum computing and quantum optics applications. Designing these circuits involves calculating the Hamiltonian describing their quantum behavior. Here we present QuCAT, or 'Quantum Circuit Analyzer Tool', an open-source framework to help in this task. This open-source python library features an intuitive graphical or programmatical interface to create circuits, the ability to compute their Hamiltonian, and a set of complimentary functionalities such as calculating dissipation rates or visualizing current flow in the circuit.
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