Pub Date : 2018-12-01DOI: 10.1109/edpc.2018.8658275
N. Voyer, Guilherme Bueno-Mariani, A. Besri, V. Quemener, Y. Okamoto, A. Satake
This paper addresses the modelling of PMSM under high frequency PWM control. The high frequency components of input voltage have different responses in terms of induced current and iron losses, due to eddy currents in the magnets, phase conductors and in the core lamination. Both inductance and HF iron loss behavior of the machine were investigated through experiment, modelled, and reproduced by circuit simulation. Inductance is treated separately for low frequency and high frequency components to build the current response of the machine. HF iron losses are determined for each HF cycle individually, according to peak-to-peak HF current. The configuration of the model can be realized either from locked rotation tests or from Finite Element Analysis. The model is suited for the optimization of control strategy with respect to losses, including adaptation of switching frequency or over-modulation.
{"title":"High Frequency Modelling of Permanent Magnet Synchronous Machine","authors":"N. Voyer, Guilherme Bueno-Mariani, A. Besri, V. Quemener, Y. Okamoto, A. Satake","doi":"10.1109/edpc.2018.8658275","DOIUrl":"https://doi.org/10.1109/edpc.2018.8658275","url":null,"abstract":"This paper addresses the modelling of PMSM under high frequency PWM control. The high frequency components of input voltage have different responses in terms of induced current and iron losses, due to eddy currents in the magnets, phase conductors and in the core lamination. Both inductance and HF iron loss behavior of the machine were investigated through experiment, modelled, and reproduced by circuit simulation. Inductance is treated separately for low frequency and high frequency components to build the current response of the machine. HF iron losses are determined for each HF cycle individually, according to peak-to-peak HF current. The configuration of the model can be realized either from locked rotation tests or from Finite Element Analysis. The model is suited for the optimization of control strategy with respect to losses, including adaptation of switching frequency or over-modulation.","PeriodicalId":358881,"journal":{"name":"2018 8th International Electric Drives Production Conference (EDPC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115890933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/EDPC.2018.8658312
S. Silber, Werner Koppelstätter, Gunther Weidenholzer, Gordan Segon, G. Bramerdorfer
This paper presents methods to accelerate the optimization of electrical machines using the software tool SyMSpace. Due to the nonlinear properties of soft magnetic materials, finite element analysis (FEA) is typically used for the simulation of electrical machines. For a complete optimization run hundreds to several thousand FEA calculations are required, which are computationally very expensive. Simple measures such as consideration of symmetries in the geometry to more sophisticated techniques like generation of a surrogate motor model can easily achieve a significant reduction in the calculation effort. By means of novel optimization algorithms specially designed for electrical machines, it is possible to achieve faster convergence of the Pareto front. To further speed-up the optimization a nonlinear mapping between the optimization variables and objectives based on artificial neural networks (ANNs) is derived during the optimization run to cut down the simulation time significantly. Once the optimization has converged, the most suitable machine for the particular application can be selected from the Paret front for further detailed analysis. For example, it is possible to generate an accurate motor model for further dynamic simulations in the form of a functional mock-up unit (FMU). Additionally, it is also possible to create data files for rapid prototyping fully automatically. This comprises, for example, data files for laser cutting, STL files for 3D printing of insulation parts and generation of program code for a needle winding machine.
{"title":"Reducing Development Time of Electric Machines with SyMSpace","authors":"S. Silber, Werner Koppelstätter, Gunther Weidenholzer, Gordan Segon, G. Bramerdorfer","doi":"10.1109/EDPC.2018.8658312","DOIUrl":"https://doi.org/10.1109/EDPC.2018.8658312","url":null,"abstract":"This paper presents methods to accelerate the optimization of electrical machines using the software tool SyMSpace. Due to the nonlinear properties of soft magnetic materials, finite element analysis (FEA) is typically used for the simulation of electrical machines. For a complete optimization run hundreds to several thousand FEA calculations are required, which are computationally very expensive. Simple measures such as consideration of symmetries in the geometry to more sophisticated techniques like generation of a surrogate motor model can easily achieve a significant reduction in the calculation effort. By means of novel optimization algorithms specially designed for electrical machines, it is possible to achieve faster convergence of the Pareto front. To further speed-up the optimization a nonlinear mapping between the optimization variables and objectives based on artificial neural networks (ANNs) is derived during the optimization run to cut down the simulation time significantly. Once the optimization has converged, the most suitable machine for the particular application can be selected from the Paret front for further detailed analysis. For example, it is possible to generate an accurate motor model for further dynamic simulations in the form of a functional mock-up unit (FMU). Additionally, it is also possible to create data files for rapid prototyping fully automatically. This comprises, for example, data files for laser cutting, STL files for 3D printing of insulation parts and generation of program code for a needle winding machine.","PeriodicalId":358881,"journal":{"name":"2018 8th International Electric Drives Production Conference (EDPC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129902207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/EDPC.2018.8658360
M. Halwas, Philipp Ambs, Michael Marsetz, C. Baier, Waldemar Schigal, J. Hofmann, J. Fleischer
The electrification of the automotive powertrain leads to new challenges for the production of electric drives. The resulting requirements for efficiency and power density of electric traction drives are currently not sufficiently fulfilled. The stator as an essential component of an electric drive generates the magnetic rotary field. By virtue of this effect the stator winding has a great influence on the performance and efficiency of an electric drive. The “NeWwire” project, as a starting point of this article, is concerned with the development and design of a novel automated winding process for the production of effective stator windings in order to achieve the required improvement in efficiency and performance. Therefore the so-called trickle winding process which is currently mainly carried out manually is to be automated. The goal is the reproducible filling of stator grooves with high copper fill factors in the shortest possible cycle times. To achieve this goal, concepts for suitable plants were developed with the help of the development method according to VDI 2221. At the beginning, the manual trickle winding process was divided into its sub-steps which were examined in detail. By following suitable analogies, solutions for an automated process were found. Finally, possible solution paths of the morphological box were combined to concept ideas. The main focus of the article is on the results of the systematic development steps. For this purpose, functional samples were produced in form of prototypes, their properties analyzed regarding the wire contribution and compared in several test series. The evaluation of these test series closes the main part of the paper.
{"title":"Systematic Development and Comparison of Concepts for an Automated Series-Flexible Trickle Winding Process","authors":"M. Halwas, Philipp Ambs, Michael Marsetz, C. Baier, Waldemar Schigal, J. Hofmann, J. Fleischer","doi":"10.1109/EDPC.2018.8658360","DOIUrl":"https://doi.org/10.1109/EDPC.2018.8658360","url":null,"abstract":"The electrification of the automotive powertrain leads to new challenges for the production of electric drives. The resulting requirements for efficiency and power density of electric traction drives are currently not sufficiently fulfilled. The stator as an essential component of an electric drive generates the magnetic rotary field. By virtue of this effect the stator winding has a great influence on the performance and efficiency of an electric drive. The “NeWwire” project, as a starting point of this article, is concerned with the development and design of a novel automated winding process for the production of effective stator windings in order to achieve the required improvement in efficiency and performance. Therefore the so-called trickle winding process which is currently mainly carried out manually is to be automated. The goal is the reproducible filling of stator grooves with high copper fill factors in the shortest possible cycle times. To achieve this goal, concepts for suitable plants were developed with the help of the development method according to VDI 2221. At the beginning, the manual trickle winding process was divided into its sub-steps which were examined in detail. By following suitable analogies, solutions for an automated process were found. Finally, possible solution paths of the morphological box were combined to concept ideas. The main focus of the article is on the results of the systematic development steps. For this purpose, functional samples were produced in form of prototypes, their properties analyzed regarding the wire contribution and compared in several test series. The evaluation of these test series closes the main part of the paper.","PeriodicalId":358881,"journal":{"name":"2018 8th International Electric Drives Production Conference (EDPC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115118714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/EDPC.2018.8658264
J. Hofmann, A. Komodromos, J. Fleischer, A. Tekkaya
Due to the electrification of the automotive drive train new challenges in production technology must be faced. One of the big challenges are the copper losses within the electric drive that can be reduced by an optimized layer structure of the winding on the coil. This paper is targeting an optimized linear coil winding process with a special focus on the first layer which is decisive for the quality of the following layers. Here, the forming influence of the wire during winding on the bobbin is examined in particular. Crucial parameters in this context are the change in diameter through bending and the development of the clearance between wire and coil bobbin including their main influencing parameters. Especially the wire guide represents a machine element which influences the clearance negatively. This paper focuses on deriving critical process points from a process model and deriving forming strategies for controlling the winding process. For the first time, two actuator principles are combined to compensate the fluctuations in wire tensile force during winding and also to minimize the influence of the wire guide by moving it according to a FE simulation. Therefore, firstly the state of the art is analyzed and characterized in order to derive systematically the selection of the actuators and the control strategy. This is done in the context of achieving a higher efficiency of the electric motor through a deeper understanding of the forming process. On the one hand the integration of a fluidic muscle is serving as a compensation of the free wire length between the wire guide and the coil bobbin for a normalization of the wire tensile force. On the other hand, a piezo actuator is preventing the pre-deformation of the wire by the wire guide for keeping the clearance at a low level.
{"title":"Optimization of the Linear Coil Winding Process by Combining New Actuator Principles on the Basis of Wire Forming Analysis","authors":"J. Hofmann, A. Komodromos, J. Fleischer, A. Tekkaya","doi":"10.1109/EDPC.2018.8658264","DOIUrl":"https://doi.org/10.1109/EDPC.2018.8658264","url":null,"abstract":"Due to the electrification of the automotive drive train new challenges in production technology must be faced. One of the big challenges are the copper losses within the electric drive that can be reduced by an optimized layer structure of the winding on the coil. This paper is targeting an optimized linear coil winding process with a special focus on the first layer which is decisive for the quality of the following layers. Here, the forming influence of the wire during winding on the bobbin is examined in particular. Crucial parameters in this context are the change in diameter through bending and the development of the clearance between wire and coil bobbin including their main influencing parameters. Especially the wire guide represents a machine element which influences the clearance negatively. This paper focuses on deriving critical process points from a process model and deriving forming strategies for controlling the winding process. For the first time, two actuator principles are combined to compensate the fluctuations in wire tensile force during winding and also to minimize the influence of the wire guide by moving it according to a FE simulation. Therefore, firstly the state of the art is analyzed and characterized in order to derive systematically the selection of the actuators and the control strategy. This is done in the context of achieving a higher efficiency of the electric motor through a deeper understanding of the forming process. On the one hand the integration of a fluidic muscle is serving as a compensation of the free wire length between the wire guide and the coil bobbin for a normalization of the wire tensile force. On the other hand, a piezo actuator is preventing the pre-deformation of the wire by the wire guide for keeping the clearance at a low level.","PeriodicalId":358881,"journal":{"name":"2018 8th International Electric Drives Production Conference (EDPC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123967479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/EDPC.2018.8658353
M. Metzner, B. Bickel, A. Mayr, J. Franke
Requirements for electric traction motors in the automotive context differ significantly from those applicable to industrial electric motors. Innovative production technologies and materials offer optimization potential in motor performance, production characteristics, industrialization and financial key performance indicators. However, those technologies also add to planning uncertainty. Therefore, this paper deals with a method for evaluating alternative production concepts in a structured way. The presented simulation-assisted method is devised to evaluate and integrate relevant characteristics for multi-stage production processes, while also considering uncertainty. This is illustrated by a case study from automotive industry, in which production technologies and line concepts for the large-scale stator production of electric traction motors are evaluated.
{"title":"Simulation-Assisted Method for Evaluating Innovative Production Technologies for Electric Traction Motors","authors":"M. Metzner, B. Bickel, A. Mayr, J. Franke","doi":"10.1109/EDPC.2018.8658353","DOIUrl":"https://doi.org/10.1109/EDPC.2018.8658353","url":null,"abstract":"Requirements for electric traction motors in the automotive context differ significantly from those applicable to industrial electric motors. Innovative production technologies and materials offer optimization potential in motor performance, production characteristics, industrialization and financial key performance indicators. However, those technologies also add to planning uncertainty. Therefore, this paper deals with a method for evaluating alternative production concepts in a structured way. The presented simulation-assisted method is devised to evaluate and integrate relevant characteristics for multi-stage production processes, while also considering uncertainty. This is illustrated by a case study from automotive industry, in which production technologies and line concepts for the large-scale stator production of electric traction motors are evaluated.","PeriodicalId":358881,"journal":{"name":"2018 8th International Electric Drives Production Conference (EDPC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132761784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/EDPC.2018.8658298
A. Kampker, Kai Krcisköther, M. Büning, José Guillermo Dorantes Gómez
Light and medium-duty vehicles have been so far the main focus of alternative drive research and development projects. The reasons for this are divided into two components: a global regulatory push to reduce heavy-duty traffic and emissions in urban areas, and how similar light and medium-duty vehicles are to the far more technologically mature personal electric vehicles. It is until very recently that energy storing technology has matured enough to make long-haul heavy-duty electric trucks a viable alternative to conventional trucks. However, the extent to which trucks provide technological and economic advantages over their fossil fuel counterparts is still in question. Therefore, this research work presents a technological and economic comparison of diverse electric powertrain configurations of long-haul heavy-duty trucks to a standard diesel engine truck of the same class. In this paper, a use case is defined to serve as the framework for all comparisons. The input for this use case has four components: the simulated drive cycle, the vehicle, the powertrain technical specifications and the energy source with auxiliary loads. Calculations are then carried out in a model made in this publication for a powertrain that can fulfill the requirements of the use case. Afterward, based on these results, a TCO analysis focused on energy consumption and maintenance, extrapolated through the expected life of the vehicle is presented. Finally, the implications on electric drives production of an increased adoption of such heavy class vehicles are commented.
{"title":"Technological and Total Cost of Ownership Analysis of Electric Powertrain Concepts for Long-Haul Transport in Comparison to Traditional Powertrain Concepts","authors":"A. Kampker, Kai Krcisköther, M. Büning, José Guillermo Dorantes Gómez","doi":"10.1109/EDPC.2018.8658298","DOIUrl":"https://doi.org/10.1109/EDPC.2018.8658298","url":null,"abstract":"Light and medium-duty vehicles have been so far the main focus of alternative drive research and development projects. The reasons for this are divided into two components: a global regulatory push to reduce heavy-duty traffic and emissions in urban areas, and how similar light and medium-duty vehicles are to the far more technologically mature personal electric vehicles. It is until very recently that energy storing technology has matured enough to make long-haul heavy-duty electric trucks a viable alternative to conventional trucks. However, the extent to which trucks provide technological and economic advantages over their fossil fuel counterparts is still in question. Therefore, this research work presents a technological and economic comparison of diverse electric powertrain configurations of long-haul heavy-duty trucks to a standard diesel engine truck of the same class. In this paper, a use case is defined to serve as the framework for all comparisons. The input for this use case has four components: the simulated drive cycle, the vehicle, the powertrain technical specifications and the energy source with auxiliary loads. Calculations are then carried out in a model made in this publication for a powertrain that can fulfill the requirements of the use case. Afterward, based on these results, a TCO analysis focused on energy consumption and maintenance, extrapolated through the expected life of the vehicle is presented. Finally, the implications on electric drives production of an increased adoption of such heavy class vehicles are commented.","PeriodicalId":358881,"journal":{"name":"2018 8th International Electric Drives Production Conference (EDPC)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132216334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/EDPC.2018.8658281
R. Piotuch
A rapid change of applied voltage caused by high-nonlinear behavior of a voltage inverter results in motor phase current ripples. Classical Dead-Beat current controller for Permanent Magnet Synchronous Motor performs excellent for a wide range of speeds and torques but for some applications, if the current loading is extremely high, there is a need to modify main motor parameters used in Dead-Beat current controller model to avoid extreme current ripples. Paper tries to describe the phenomena in a more quantitative way. Levels of current ripples were systematically simulated for nominal motor parameters and set of distorted parameters. Experimental results verified obtained results and proved high performance of the proposed modified control algorithm.
{"title":"Current Ripples in Classical Predictive and Modified Dead-Beat Controller for PM Synchronous Motors-Analysis and Experimetal Results","authors":"R. Piotuch","doi":"10.1109/EDPC.2018.8658281","DOIUrl":"https://doi.org/10.1109/EDPC.2018.8658281","url":null,"abstract":"A rapid change of applied voltage caused by high-nonlinear behavior of a voltage inverter results in motor phase current ripples. Classical Dead-Beat current controller for Permanent Magnet Synchronous Motor performs excellent for a wide range of speeds and torques but for some applications, if the current loading is extremely high, there is a need to modify main motor parameters used in Dead-Beat current controller model to avoid extreme current ripples. Paper tries to describe the phenomena in a more quantitative way. Levels of current ripples were systematically simulated for nominal motor parameters and set of distorted parameters. Experimental results verified obtained results and proved high performance of the proposed modified control algorithm.","PeriodicalId":358881,"journal":{"name":"2018 8th International Electric Drives Production Conference (EDPC)","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123036739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/EDPC.2018.8658346
A. Mayr, Benjamin Lutz, M. Weigelt, T. Gläßel, Dominik Kißkalt, M. Masuch, A. Riedel, J. Franke
In a world of growing electrification, the demand for high-quality, well-optimized electric motors continues to rise. The hairpin winding is one such optimization, improving the slot-fill ratio and handling during production. As this winding technology leads to a high amount of contact points, special attention is drawn to contacting processes, with laser welding being one promising choice. The challenge now is to make the process more stable by means of advanced methods for quality monitoring. Therefore, this paper proposes a novel, cost-efficient quality monitoring system for the laser welding process using a machine learning architecture. The investigated data sources are machine parameters as well as visual information acquired by a CCD camera. Firstly, the usage of machine parameters to predict weld defects and the overall quality of a weld seam before contacting is investigated. In the case of hairpin windings, not only the mechanical but also the electrical properties of each contact point contribute to the overall quality. Secondly, it is illustrated that convolutional neural networks are well suited to analyze image data. Thereby, different network architectures for directly assessing the weld quality as well as for classifying visible weld defects by their severity in a post-process manner are presented. Thirdly, these results are compared to a more explainable two-stage approach which detects weld defects in a first step and uses this information for weld quality prediction in a second step. Finally, these applications are combined into a quality monitoring system consisting of a pre-process plausibility test as well as a post-process quality assessment and defect classification. The proposed system architecture is not only applicable to the contacting of hairpin windings but also to other applications of laser welding.
{"title":"Evaluation of Machine Learning for Quality Monitoring of Laser Welding Using the Example of the Contacting of Hairpin Windings","authors":"A. Mayr, Benjamin Lutz, M. Weigelt, T. Gläßel, Dominik Kißkalt, M. Masuch, A. Riedel, J. Franke","doi":"10.1109/EDPC.2018.8658346","DOIUrl":"https://doi.org/10.1109/EDPC.2018.8658346","url":null,"abstract":"In a world of growing electrification, the demand for high-quality, well-optimized electric motors continues to rise. The hairpin winding is one such optimization, improving the slot-fill ratio and handling during production. As this winding technology leads to a high amount of contact points, special attention is drawn to contacting processes, with laser welding being one promising choice. The challenge now is to make the process more stable by means of advanced methods for quality monitoring. Therefore, this paper proposes a novel, cost-efficient quality monitoring system for the laser welding process using a machine learning architecture. The investigated data sources are machine parameters as well as visual information acquired by a CCD camera. Firstly, the usage of machine parameters to predict weld defects and the overall quality of a weld seam before contacting is investigated. In the case of hairpin windings, not only the mechanical but also the electrical properties of each contact point contribute to the overall quality. Secondly, it is illustrated that convolutional neural networks are well suited to analyze image data. Thereby, different network architectures for directly assessing the weld quality as well as for classifying visible weld defects by their severity in a post-process manner are presented. Thirdly, these results are compared to a more explainable two-stage approach which detects weld defects in a first step and uses this information for weld quality prediction in a second step. Finally, these applications are combined into a quality monitoring system consisting of a pre-process plausibility test as well as a post-process quality assessment and defect classification. The proposed system architecture is not only applicable to the contacting of hairpin windings but also to other applications of laser welding.","PeriodicalId":358881,"journal":{"name":"2018 8th International Electric Drives Production Conference (EDPC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121393192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/EDPC.2018.8658271
N. Voyer, Guilherme Bueno-Mariani, A. Besri, V. Quemener, Y. Okamoto, A. Satake
This paper addresses the modelling of PMSM under high frequency PWM control. The high frequency components of input voltage have different responses in terms of induced current and iron losses, due to eddy currents in the magnets, phase conductors and in the core lamination. Both inductance and HF iron loss behavior of the machine were investigated through experiment, modelled, and reproduced by circuit simulation. Inductance is treated separately for low frequency and high frequency components to build the current response of the machine. HF iron losses are determined for each HF cycle individually, according to peak-to-peak HF current. The configuration of the model can be realized either from locked rotation tests or from Finite Element Analysis. The model is suited for the optimization of control strategy with respect to losses, including adaptation of switching frequency or over-modulation.
{"title":"High Frequency Modelling of Permanent Magnet Synchronous Machine","authors":"N. Voyer, Guilherme Bueno-Mariani, A. Besri, V. Quemener, Y. Okamoto, A. Satake","doi":"10.1109/EDPC.2018.8658271","DOIUrl":"https://doi.org/10.1109/EDPC.2018.8658271","url":null,"abstract":"This paper addresses the modelling of PMSM under high frequency PWM control. The high frequency components of input voltage have different responses in terms of induced current and iron losses, due to eddy currents in the magnets, phase conductors and in the core lamination. Both inductance and HF iron loss behavior of the machine were investigated through experiment, modelled, and reproduced by circuit simulation. Inductance is treated separately for low frequency and high frequency components to build the current response of the machine. HF iron losses are determined for each HF cycle individually, according to peak-to-peak HF current. The configuration of the model can be realized either from locked rotation tests or from Finite Element Analysis. The model is suited for the optimization of control strategy with respect to losses, including adaptation of switching frequency or over-modulation.","PeriodicalId":358881,"journal":{"name":"2018 8th International Electric Drives Production Conference (EDPC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129056687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/EDPC.2018.8658299
T. Heidrich, A. Möckel
As part of a research project a new diesel-electric drive was developed for a high-performance fan of a suction excavator. The existing hydraulic and mechanical drive solutions will be replaced to improve system properties such as efficiency and controllability. Due to the limited installation space and weight restrictions in the vehicle, a permanent magnet excited water-cooled synchronous machine (PMSM) is suitable for this application. In addition, special requirements to robustness result from the mobile use on construction sites. This paper deals with the application-specific design of the electrical machine with a continuous output power of 160 kW. Different magnetic circuit designs are discussed. Furthermore, detailed magnetic and thermal calculations are performed for the design. Due to the relative high speed up to 5100 rpm, investigations on structural-mechanics are also necessary for the rotor design. Based on the calculations, the control system is considered and the system behavior is simulated. The drive properties are verified by measurements on a prototype.
{"title":"High Performance Fan Drive for a Suction Excavator","authors":"T. Heidrich, A. Möckel","doi":"10.1109/EDPC.2018.8658299","DOIUrl":"https://doi.org/10.1109/EDPC.2018.8658299","url":null,"abstract":"As part of a research project a new diesel-electric drive was developed for a high-performance fan of a suction excavator. The existing hydraulic and mechanical drive solutions will be replaced to improve system properties such as efficiency and controllability. Due to the limited installation space and weight restrictions in the vehicle, a permanent magnet excited water-cooled synchronous machine (PMSM) is suitable for this application. In addition, special requirements to robustness result from the mobile use on construction sites. This paper deals with the application-specific design of the electrical machine with a continuous output power of 160 kW. Different magnetic circuit designs are discussed. Furthermore, detailed magnetic and thermal calculations are performed for the design. Due to the relative high speed up to 5100 rpm, investigations on structural-mechanics are also necessary for the rotor design. Based on the calculations, the control system is considered and the system behavior is simulated. The drive properties are verified by measurements on a prototype.","PeriodicalId":358881,"journal":{"name":"2018 8th International Electric Drives Production Conference (EDPC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117175271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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