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Olfert, Sergei, et al. “Erweiterung Des Mason-Modells Zur Beschreibung Eines Partikelbelags Auf Einer Quarzscheibe.” Deutsche Gesellschaft Für Akustik e.V. 2017- Fortschritte Der Akustik - DAGA 2017, Deutsche Gesellschaft für Akustik e.V. (DEGA), 2017, pp. 1015–18.
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Peter, Klaus, et al. “Model-Based Control Structure for High-Speed Permanent Magnet Synchronous Drives.”10.1109/iemdc.2017.8002284__2017 IEEE International Electric Machines and Drives Conference (IEMDC), IEEE, 2017, doi:10.1109/iemdc.2017.8002284.
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Wallscheid, Oliver, et al. “Investigation of Long Short-Term Memory Networks to Temperature Prediction for Permanent Magnet Synchronous Motors.”10.1109/ijcnn.2017.7966088__2017 International Joint Conference on Neural Networks (IJCNN), 2017, doi:10.1109/ijcnn.2017.7966088.
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Bolte, Sven, et al. “Wassergekühltes On-Board-Ladegerät Mit Optimiertem Kühlkanal.” Wt Werkstattstechnik Online, vol. 107, no. 5, Springer-VDI-Verlag, 2017, p. 381ff.
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Bolte, Sven, et al. “Water-Cooled on-Board Charger with Optimized Cooling Channel.”10.23919/epe17ecceeurope.2017.8099019__2017 19th European Conference on Power Electronics and Applications (EPE’17 ECCE Europe), IEEE, 2017, doi:10.23919/epe17ecceeurope.2017.8099019.
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Bolte, Sven, et al. “Calorimetric Measurements with Compensating Temperature Control.”10.1109/isie.2017.8001320__2017 IEEE 26th International Symposium on Industrial Electronics (ISIE), IEEE, 2017, doi:10.1109/isie.2017.8001320.
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Ott, Markus, et al. “An Iterative Compensation Method for Production Tolerances in Electric Drive Systems.”10.1109/iemdc.2017.8002052__2017 IEEE International Electric Machines and Drives Conference (IEMDC), IEEE, 2017, doi:10.1109/iemdc.2017.8002052.
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Bolte, Sven, et al. “Winding Concepts for High Frequency Inductors with Reduced DC Resistance.”10.1109/intlec.2017.8214182__2017 IEEE International Telecommunications Energy Conference (INTELEC), IEEE, 2017, doi:10.1109/intlec.2017.8214182.
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Bolte, Sven, et al. “Calorimetric Measurement of Wide Bandgap Semiconductors Switching Losses.” PCIM Europe 2017; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, 2017, pp. 1–6.
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Gaona, Daniel, et al. “Glocal Identification Methods for Low-Order Lumped Parameter Thermal Networks Used in Permanent Magnet Synchronous Motors.” 2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS), 2017, pp. 1–126.
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Gaona, Daniel, et al. “Sensitivity Analysis of a Permanent Magnet Temperature Observer for PM Synchronous Machines Using the Monte Carlo Method.” 2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS), 2017, pp. 599–606.
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Hanke, Sören, et al. “A Direct Model Predictive Torque Control Approach to Meet Torque and Loss Objectives Simultaneously in Permanent Magnet Synchronous Motor Applications.” 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2017, pp. 101–106.
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Wallscheid, Oliver, et al. “Observing the Permanent Magnet Temperature of Synchronous Motors Based on Electrical Fundamental Wave Model Quantities.” IEEE Transactions on Industrial Electronics, vol. 64, no. 5, 2017, pp. 3921–3929.
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Gaona, Daniel, et al. “Fusion of a Lumped-Parameter Thermal Network and Speed-Dependent Flux Observer for PM Temperature Estimation in Synchronous Machines.” 2017 IEEE Southern Power Electronics Conference (SPEC), 2017, pp. 1–6.
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Wallscheid, Oliver, and Joachim Böcker. “Fusion of Direct and Indirect Temperature Estimation Techniques for Permanent Magnet Synchronous Motors.” 2017 IEEE International Electric Machines and Drives Conference (IEMDC), 2017, pp. 1–8.
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Wallscheid, Oliver, and Joachim Böcker. “Derating of Automotive Drive Systems Using Model Predictive Control.” 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2017, pp. 31–36.
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Ott, Markus, et al. “A Compensation Method for Production Tolerances in Electric Drive Systems Using an Extended Open-Loop Torque Control.” European Battery, Hybrid and Fuel Cell Electric Vehicle Congress Geneva, 14th-16th March 2017, 2017.
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Vogt, Thorsten, et al. “Prediction of Residual Power Peaks in Industrial Microgrids Using Artificial Neural Networks.” International Joint Conference on Neural Networks (IJCNN), 2017, pp. 3228–3235.
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Figge, Heiko, et al. LLC Balancing. 2017.
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