@inproceedings{EberhartChungHaumeretal., author = {Eberhart, Philip and Chung, Tek Shan and Haumer, Anton and Kral, Christian}, title = {Open Source Library for the Simulation of Wind Power Plants}, series = {Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015}, booktitle = {Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015}, address = {Link{\"o}ping}, doi = {10.3384/ecp15118929}, pages = {929 -- 936}, abstract = {This paper presents the new open source Modelica libraryWindPowerPlants. For the economic assessment of either a wind power plant or an entire wind park, the accurate prediction of the energy output is essential. Such prediction is usually performed by means of calculations based on statistical wind data. The proposed WindPowerPlants library is capable of assessing the energy output both for statistical and real wind data based on time domain simulations. In the presented version of the library wind turbine models are modeled with pitch control. The generator models have variable speed and an optional connector to the mains. The entire library is based on power balance conditions and losses are fully neglected. Yet, the library can be extended towards more detailed models considering different types of losses. The structure and components of the library are presented. Simulations examples are shown and compared with reference data. The applicability of the proposed WindPowerPlants library is demonstrated and possible enhancements are discussed.}, language = {en} } @article{KralHaumerLee, author = {Kral, Christian and Haumer, Anton and Lee, Sang Bin}, title = {A Practical Thermal Model for the Estimation of Permanent Magnet and Stator Winding Temperatures}, series = {IEEE Transactions on Power Electronics}, volume = {29}, journal = {IEEE Transactions on Power Electronics}, number = {1}, publisher = {IEEE}, issn = {1941-0107}, doi = {10.1109/TPEL.2013.2253128}, pages = {455 -- 464}, abstract = {A thermal model for the determination of the temperatures of interior permanent magnets and stator windings is presented in this paper. The innovation of the model relies on one temperature sensor being located in the stator core of the machine. Such sensor is simple to implement in many applications such as traction or EV, where reliability is critical. The estimated stator winding and permanent magnet temperatures are determined by a simplified thermal lumped element network model with only two time constants. It is shown that the proposed thermal model is very robust due to the structure of the model and the measured stator core temperature. The distortion of the temperature estimates caused by the cooling circuit is inherently accounted for such that the model can be used for robust online prediction of temperatures. Experimental results based on a forced water-cooled interior permanent magnet synchronous machine setup are presented to validate the effectiveness of the presented model.}, language = {en} } @inproceedings{KralHaumerWoehrnschimmel, author = {Kral, Christian and Haumer, Anton and W{\"o}hrnschimmel, Reinhard}, title = {Extension of the FundamentalWave Library towards Multi Phase Electric Machine Models}, series = {Proceedings of the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden}, booktitle = {Proceedings of the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden}, publisher = {Link{\"o}ping University Electronic Press}, isbn = {978-91-7519-380-9}, issn = {1650-3686}, doi = {10.3384/ecp14096135}, pages = {135 -- 143}, abstract = {Abstract Electric machine theory and electric machine simulations models are often limited to three phases. Up to the Modelica Standard Libray (MSL) version 3.2 the provided machine models were limited to three phases. Particularly for large industrial drives and for redundancy reasons in electric vehicles and aircrafts multi phase electric machines are demanded. In the MSL 3.2.1 an extension of the existing FundamentalWave library has been performed to cope with phase numbers greater than or equal to three. The developed machine models are fully incorporating the multi phase electric; magnetic; rotational and thermal domain. In this publication the theoretical background of the machines models; Modelica implementation details; the parametrization of the models and simulation examples are presented.}, language = {en} } @inproceedings{HaumerKral, author = {Haumer, Anton and Kral, Christian}, title = {The New EDrives Library: A Modular Tool for Engineering of Electric Drives}, series = {Proceedings of the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden}, booktitle = {Proceedings of the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden}, publisher = {Link{\"o}ping University Electronic Press}, isbn = {978-91-7519-380-9}, issn = {1650-3686}, doi = {10.3384/ecp14096155}, pages = {155 -- 163}, abstract = {Simulation is an indispensable tool for the engineering of systems containing electric drives. Depending on the design phase and the engineering task different levels of modeling details are required: proof of concept; investigation of energy and power consumption; design of control; etc. The new EDrives library provides three levels of abstraction for inverters: quasi static (neglecting electrical transients); averaging (neglecting switching effects) and switching - for serving different demands. The inverters can feed the machine models of the Modelica Standard Library: Modelica.Magnetic.FundamentalWave and the new Modelica.Magnetic.QuasiStatic.FundamentalWave. The EDrives library copes with arbitrary phase numbers and can be easily extended to develop new control algorithms. In this publication the structure of the library and the implemented control principles are presented. Furthermore; examples comparing the three different levels of abstraction are included.}, language = {en} } @article{HaumerKralVukovicetal., author = {Haumer, Anton and Kral, Christian and Vukovic, Vladimir and David, Alexander and Hettfleisch, Christian and Huzsvar, Attila}, title = {A Parametrization Scheme for High Performance Thermal Models of Electric Machines using Modelica}, series = {IFAC Proceedings Volumes}, volume = {45}, journal = {IFAC Proceedings Volumes}, number = {2}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1474-6670}, doi = {10.3182/20120215-3-AT-3016.00187}, pages = {1058 -- 1062}, abstract = {Thermal models offer great advantages for enhancement of design, protection and control of electric machines. Detailed thermal models take a great number of time constants into account and provide accurate prediction of the temperatures. However, to parameterize such models detailed geometric data are needed. Whenever such detailed information is not available, or the performance of the detailed models is not satisfying, simplified thermal models as described in this paper are advantageous. The calculation of parameters is described in detail, in order to achieve best accordance with temperatures obtained from measurements or from simulations with detailed thermal models. Thermal resistances are calculated from end temperatures of a test run with constant load (and known losses). Thermal capacitances are obtained using optimization to minimize deviation of simulated and measured temperatures during the whole test run. The thermal model of an asynchronous induction machine with squirrel cage is coupled with an electrical model of the drive. For validation, simulation results of an optimally parameterized simplified model are compared with temperatures obtained by simulation of a detailed thermal model, which in turn has been validated against measurement results, both for continuous duty S1 and intermittent duty S6 (6 minutes no-load followed by 4 minutes of 140\% nominal load). The deviations are not more than 4 K which is quite satisfying.}, language = {en} } @inproceedings{BogomolovKralHaumeretal., author = {Bogomolov, Maxim and Kral, Christian and Haumer, Anton and Lomonova, Elena}, title = {Modeling of permanent magnet synchronous machine with fractional slot windings}, series = {Proceedings IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society ; Ecole de Technologie Superieure de Montreal, Universite du Quebec Montreal, Canada 25 - 28 October, 2012}, booktitle = {Proceedings IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society ; Ecole de Technologie Superieure de Montreal, Universite du Quebec Montreal, Canada 25 - 28 October, 2012}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-4673-2421-2}, issn = {1553-572X}, doi = {10.1109/IECON.2012.6388912}, pages = {1894 -- 1899}, abstract = {This paper focuses on simulation of permanent magnet synchronous machine (PMSM) with fractional-slot windings (FSW) in Modelica. Modeling of the electrical machines with object-oriented approach is shortly described, and a new Modelica library for simulation of electrical machines is introduced. The results of simulation of PMSMs with fractional slot windings are presented and explained. Special attention is paid to the higher harmonics and subharmonics produced by the winding and their influence on machine operation.}, language = {en} } @inproceedings{HaumerKral, author = {Haumer, Anton and Kral, Christian}, title = {Motor Management of Permanent Magnet Synchronous Machines}, series = {Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany}, booktitle = {Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany}, editor = {Otter, Martin and Zimmer, Dirk}, publisher = {Link{\"o}ping University Electronic Press}, isbn = {978-91-7519-826-2}, issn = {1650-3686}, doi = {10.3384/ecp12076159}, pages = {159 -- 166}, abstract = {Two state-of-the-art machine designs are mainly used in recent electric and hybrid electric vehicles: asynchronous induction machines with squirrel cage which are robust but need a current component to excite the magnetic field; and permanent magnet synchronous machines which rely on somehow more sensible parts but the magnets are able to excite a magnetic field without current. However; if speed gets high enough to reach the field weakening range; for both machine the field oriented control has to prescribe a field current sufficient to reduce the field not to exceed the voltage limits of the stator circuit. Especially for the permanent magnet synchronous machine this paper investigates whether it is possible to determine an optimal field current for every operation point to minimize either total current consumption or losses.}, language = {en} } @inproceedings{KralHaumerBogomolovetal., author = {Kral, Christian and Haumer, Anton and Bogomolov, Maxim and Lomonova, Elena}, title = {Harmonic wave model of a permanent magnet synchronous machine for modeling partial demagnetization under short circuit conditions}, series = {2012 XXth International Conference on Electrical Machines (ICEM 2012) ; Marseille, France, 2 - 5 September 2012}, booktitle = {2012 XXth International Conference on Electrical Machines (ICEM 2012) ; Marseille, France, 2 - 5 September 2012}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-4673-0142-8}, doi = {10.1109/ICElMach.2012.6349880}, pages = {295 -- 301}, abstract = {This paper proposes a multi domain physical model of permanent magnet synchronous machines, considering electrical, magnetic, thermal and mechanical effects. For each component of the model, the main wave as well as lower and higher harmonic wave components of the magnetic flux and the magnetic potential difference may be considered. The permanent magnets are modeled as discrete azimuthal segments in order to consider possible partial demagnetization effects. For each magnet segment a linearized temperature dependent B-H curve is considered. The main advantage of the presented model is that time transient operational behavior of a permanent magnet synchronous machine can be considered under various electrical, magnetic, thermal and mechanical conditions. The electromagnetic condition of surface magnet machine is compared with finite element analysis.}, language = {en} } @inproceedings{KralHaumerLee, author = {Kral, Christian and Haumer, Anton and Lee, Sang Bin}, title = {Robust thermal model for the estimation of rotor cage and stator winding temperatures of induction machines}, series = {2012 XXth International Conference on Electrical Machines ; Marseille, France, 02.- 05.09.2012}, booktitle = {2012 XXth International Conference on Electrical Machines ; Marseille, France, 02.- 05.09.2012}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-4673-0142-8}, doi = {10.1109/ICElMach.2012.6350127}, pages = {1810 -- 1816}, abstract = {In this paper a new model for the estimation of the stator winding and rotor cage temperatures of induction machines is presented. This model can be used in series applications of machines operated under dynamic load conditions where stator and rotor temperature shall be monitored. The proposed model relies on a simplified lumped element thermal equivalent circuit model where the stator core temperature serves as input quantity. The great advantage of this model is that it covers ambient and cooling conditions inherently. This leads to great simplicity and robustness. The parametrization and validation of the model through experimental data is presented. Advantages, drawbacks and possible implementations are discussed.}, language = {en} } @inproceedings{KralHaumerLee, author = {Kral, Christian and Haumer, Anton and Lee, Sang Bin}, title = {Innovative thermal model for the estimation of permanent magnet and stator winding temperatures}, series = {2012 IEEE Energy Conversion Congress and Exposition (ECCE 2012) ; Raleigh, NC, USA 15.09.-20.09.2012}, booktitle = {2012 IEEE Energy Conversion Congress and Exposition (ECCE 2012) ; Raleigh, NC, USA 15.09.-20.09.2012}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-4673-0803-8}, issn = {2329-3721}, doi = {10.1109/ECCE.2012.6342386}, pages = {2704 -- 2711}, abstract = {In this paper an innovative thermal model for the determination of the temperatures of the permanent magnets and stator windings is presented. This model relies on one temperature sensor located in the stator core of the machine. The estimated stator winding and permanent magnet temperatures are determined by a simplified thermal lumped element network model with only two time constants. Due to the structure of the model and the measured stator core temperature the proposed thermal model is very robust. Distortion of the cooling circuit are inherently sensed such that the model can be used for the online prediction of temperatures. Experimental results based on an interior permanent magnet synchronous machine are presented to validate the presented model.}, language = {en} }