TY - CHAP A1 - Sterner, Michael A1 - Stadler, Ingo A1 - Eckert, Fabian A1 - Thema, Martin T1 - Speicherintegration in einzelnen Energiesektoren T2 - Energiespeicher - Bedarf, Technologien, Integration KW - Energiespeicher KW - Systemintegration Y1 - 2017 SN - 978-3-662-48893-5 SN - 978-3-662-48892-8 U6 - https://doi.org/10.1007/978-3-662-48893-5_13 SP - 685 EP - 767 PB - Springer Vieweg CY - Berlin ; Heidelberg ET - 2. Auflage ER - TY - CHAP A1 - Sterner, Michael A1 - Bauer, Franz T1 - Definition und Klassifizierung von Energiespeichern T2 - Energiespeicher - Bedarf, Technologien, Integration KW - Energiespeicher Y1 - 2017 SN - 978-3-662-48892-8 U6 - https://doi.org/10.1007/978-3-662-48893-5_2 SP - 25 EP - 49 PB - Springer Vieweg CY - Berlin ; Heidelberg ET - 2. Auflage ER - TY - CHAP A1 - Hopfensperger, Bernhard A1 - Daubner, Andreas A1 - Herrmann, Fabian A1 - Hopkins, Andrew A1 - Mellor, Phil T1 - Investigation of Shifted PWM Methods for a Dual Three-Phase System to Reduce Capacitor RMS Current T2 - PCIM Europe Digital Days 2020: International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management: 07.-08.07.2020, Online [proceedings] N2 - Mild hybrid automotive topologies containing a 48V high power (>15 kW) electric drive system demand a high integration of power electronics and electrical machine. A multi-phase motor winding topology helps to keep the per-phase operating currents to a reasonable level. Close integration and multi-phase system have led to a drive system with dual 3-phase systems supplied by a common 48V DC-link, which allows to shift PWM patterns for reduction of DC-link capacitor ripple current and size. This paper derives some basic rules for combinations of common PWM methods for dual 3-phase systems without magnetic cross-coupling. Experimental measurements verify simulated results. KW - Elektroantrieb KW - dual three phase system Y1 - 2020 UR - https://ieeexplore.ieee.org/document/9177989 SN - 978-3-8007-5245-4 SP - 124 EP - 131 PB - VDE-Verlag CY - Berlin, Offenbach ER - TY - CHAP A1 - Grauvogl, Dominik A1 - Stauder, Peter A1 - Hopfensperger, Bernhard A1 - Gerling, Dieter T1 - Multiphysics Design of a Wound Field Synchronous Machine with Magnetic Asymmetry T2 - Proceedings of the 2021 IEEE International Electric Machines & Drives Conference (IEMDC): 17-20 May 2021, Hartford, CT, USA N2 - In this paper a multiphysics development method is used for designing a novel wound field synchronous machine of the future generation of high voltage traction drives. This method covers the domains of electromagnetics, the mechanical strength, thermal behavior and the magnetic noise. It is shown that the proposed novel asymmetric design with a circular flux barrier in combination with an asymmetric pole offset is fulfilling the requirements according to performance and torque ripple. A fatigue strength rotor mechanic concept is included. A hybrid cooling concept consisting of a water jacket cooled stator and air cooled rotor ensures the needed continuous power. Unacceptable noise levels are excluded by investigating the equivalent radiated power (ERP) level due to radial forces in the air gap. Finally, the multi-physical workflow resulted in a fully developed component with a high degree of maturity. KW - air cooling KW - wound field synchronous machine KW - cooling concept KW - fatigue limit KW - flux barrier Y1 - 2021 U6 - https://doi.org/10.1109/IEMDC47953.2021.9449564 ER - TY - CHAP A1 - Grauvogl, Dominik A1 - Krabinski, Jeffrey A1 - Stauder, Peter A1 - Hopfensperger, Bernhard A1 - Gerling, Dieter T1 - NVH Comparison of a Novel Wound Field Synchronous Machine with Magnetic Asymmetry with a PSM for a HV Electric Drive T2 - 2021 JSAE Annual Congress (Spring) Proceedings; online meeting (No.76-21) N2 - This paper shows how magnetic noises can be reduced with a wound field synchronous machine (WFSM) with magnetic asymmetry compared to a permanent magnet synchronous machine (PSM), operating at base speed range and full load. In order to reproduce a real noise behavior, the two rotor types are operated in a complete electric drive unit (EDU) consisting of an electric motor, gearbox, inverter and overall housing. In the concept study, the noise characteristics of the two electric machines is evaluated and compared via mechanical finite element method (FEM) simulations using the equivalent radiated power (ERP) level and Campbell diagrams. Furthermore, it is shown that critical frequency orders can already be identified by the analysis of the magnetic force density from the electromagnetic design without computationally intensive ERP calculations. In this context, the ERP investigations have shown that the unique feature of the magnetically asymmetric WFSM is the reduction of the slot harmonics. At the current state of the art, the slot harmonics can only be reduced with a rotor skewing. The disadvantage of this is a reduction in performance and a more expensive production. It is also remarkable that the magnetic asymmetry reduces the slot harmonics more than the rotor skewing in the PSM. In addition, both machines are still considered with a short-pitched stator winding to optimize the overall noise level by reducing the 24th frequency order. KW - Elektroantrieb KW - Synchronmaschine KW - traction drive system KW - NVH KW - e-axle KW - magnetic asymmetry Y1 - 2021 UR - https://tech.jsae.or.jp/paperinfo/en/content/p202101.343/ PB - JSAE ER - TY - CHAP A1 - Lang, Christian A1 - Steinborn, Florian A1 - Steffens, Oliver A1 - Lang, Elmar Wolfgang T1 - Electricity Load Forecasting - An Evaluation of Simple 1D-CNN Network Structures T2 - International Conference on Time Series and Forecasting (ITISE 2019), Proceedings of Papers Vol. 2, 25-27 September 2019, Granada (Spain) N2 - This paper presents a convolutional neural network (CNN)which can be used for forecasting electricity load profiles 36 hours intothe future. In contrast to well established CNN architectures, the inputdata is one-dimensional. A parameter scanning of network parameters isconducted in order to gain information about the influence of the kernelsize, number of filters, and dense size. The results show that a goodforecast quality can already be achieved with basic CNN architectures.The method works not only for smooth sum loads of many hundredconsumers, but also for the load of apartment buildings KW - energy load forecasting KW - STLF KW - neural networks KW - CNN KW - con-volutional networks Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-16649 UR - https://arxiv.org/abs/1911.11536 UR - http://itise.ugr.es/ITISE2019_vol2.pdf SN - 978-84-17970-78-9 SP - 797 EP - 806 ER - TY - CHAP A1 - Lang, Christian A1 - Steinborn, Florian A1 - Steffens, Oliver A1 - Lang, Elmar Wolfgang ED - Valenzuela, O. ED - Rojas, F. ED - Herrera, L.J. ED - Pomares, H. ED - Rojas, I. T1 - Applying a 1D-CNN Network to Electricity Load Forecasting T2 - Theory and Applications of Time Series Analysis N2 - This paper presents a convolutional neural network (CNN) which can be used for forecasting electricity load profiles 36 hours into the future. In contrast to well established CNN architectures, the input data is one-dimensional. A parameter scanning of network parameters is conducted in order to gain information about the influence of the kernel size, number of filters and number of nodes. Furthermore, different dropout methods are applied to the CNN and are evaluated. The results show that a good forecast quality can already be achieved with basic CNN architectures, the dropout improves the forecast. The method works not only for smooth sum loads of many hundred consumers, but also for the load of single apartment buildings. KW - Energy load forecasting KW - STLF KW - Neural networks KW - CNN KW - Convolutional networks Y1 - 2020 U6 - https://doi.org/10.1007/978-3-030-56219-9_14 SP - 205 EP - 218 PB - Springer ER - TY - CHAP A1 - Keim, Vincent A1 - Nonn, Aida A1 - Lenz, D. A1 - Brinnel, Viktoria A1 - Münstermann, Sebastian T1 - Simulation of the ductile fracture behaviour of high toughness pipeline steels using combined damage models T2 - Proceedings of the conference on Technology for future and ageing piplines, Ghent, Belgium Y1 - 2018 ER - TY - CHAP A1 - Arrieta Castro, Abel A1 - Weber, Hans Ingo A1 - Rill, Georg T1 - Design an integrate vehicle control based-on hierarchical architecture for improve the performance of ground vehicles T2 - COBEM2015 : 23rd ABCM International Congress of Mechanical Engineering, December 6-11, 2015, Rio de Janeiro, RJ, Brazi Y1 - 2015 U6 - https://doi.org/10.20906/cps/cob-2015-1970 ER - TY - CHAP A1 - Dessort, Ronnie A1 - Chucholowski, Cornelius A1 - Rill, Georg ED - Bargende, Michael ED - Reuss, Hans-Christian ED - Wiedemann, Jochen T1 - Parametrical approach for modeling of tire forces and torques in TMeasy 5 T2 - 16. Internationales Stuttgarter Symposium, Automobil- und Motorentechnik, Bd. 1 N2 - For the dynamic simulation of on-road vehicles, the model-element “tire/road” is of special importance, according to its influence on the achievable results. Sufficient description of the interaction between tire and road is one of the most challenging tasks of vehicle modeling. Two groups of tire models can be classified: handling models and structural or high-frequency models. Usually, various assumptions are made in modeling vehicles as multibody systems. Therefore, in the interest of balanced modeling, the precision of the complete vehicle model should stand in reasonable relation to the performance of the applied tire model. Handling tire models are characterized by a useful compromise between user friendliness, model complexity, and efficiency in computation time on the one hand, and precision in representation on the other hand. Y1 - 2016 SN - 978-3-658-13254-5 U6 - https://doi.org/10.1007/978-3-658-13255-2_31 SP - 435 EP - 449 PB - Springer CY - Wiesbaden ER -