The power converter based co-phase traction power system has the advantages of canceling neural sections and providing high power quality for both the external grid and the traction system. Electromagnetic transient simulation is a powerful tool for the transient phenomena study, control and protection system design and testing of the co-phase system. However, the number of the converters and its relatively complex converter topology both impose the challenge for the simulation speed, which affects the productivity for the co-phase system study. This work proposes an accelerated model on PSCAD/EMTDC for the static power converter (SPC) based on cascaded AC/DC/AC sub-modules (SMs), which is applied in Beijing Daxing Airport Express co-phase project. The accelerated model can obtain 19.8 times speedup with the accurate and detailed simulation results compared with the complete model using discrete switches in the co-phase system containing 4 SPCs with 16 SMs in each of them.
{"title":"Accelerated Model of Static Power Converter for Co-Phase Traction Power System","authors":"Zhuoxuan Shen, Xiaoqian Li, Yingdong Wei, Ziming Li, Mingrui Li, Haiping Guo, Qirong Jiang, Yunzhi Lin","doi":"10.1109/ECCE44975.2020.9236220","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9236220","url":null,"abstract":"The power converter based co-phase traction power system has the advantages of canceling neural sections and providing high power quality for both the external grid and the traction system. Electromagnetic transient simulation is a powerful tool for the transient phenomena study, control and protection system design and testing of the co-phase system. However, the number of the converters and its relatively complex converter topology both impose the challenge for the simulation speed, which affects the productivity for the co-phase system study. This work proposes an accelerated model on PSCAD/EMTDC for the static power converter (SPC) based on cascaded AC/DC/AC sub-modules (SMs), which is applied in Beijing Daxing Airport Express co-phase project. The accelerated model can obtain 19.8 times speedup with the accurate and detailed simulation results compared with the complete model using discrete switches in the co-phase system containing 4 SPCs with 16 SMs in each of them.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124126736","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 : 2020-10-11DOI: 10.1109/ECCE44975.2020.9235600
R. Tsunata, M. Takemoto, S. Ogasawara, K. Orikawa
Delta-type permanent magnet (PM) arrangement and extended flux barriers are very effective in improving magnetization characteristics of variable flux memory motors (VFMMs). However, the reluctance torque tends to be declined because of small q-axis inductance. Therefore, a conventional VFMM using above two methods needs larger load current for achieving required maximum torque than that of a target traction motor which is mounted in TOYOTA PRIUS 4th generation. Hence, this paper proposes rotor shape that can increase the reluctance torque in order to achieve required maximum torque by applying same load current as that of the target motor. Finally, the proposed VFMM whose reluctance torque is improved can generate the target maximum torque with smaller load current than that of the conventional VFMM. In addition, the proposed VFMM has smaller maximum magnetizing current compared to that of the conventional model, and the proposed VFMM also indicates higher efficiency than that of the target traction motor in high speed region.
{"title":"Investigation of Enhancing Reluctance Torque of a Delta-Type Variable Flux Memory Motor Having Large Flux Barrier for EV/HEV Traction","authors":"R. Tsunata, M. Takemoto, S. Ogasawara, K. Orikawa","doi":"10.1109/ECCE44975.2020.9235600","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9235600","url":null,"abstract":"Delta-type permanent magnet (PM) arrangement and extended flux barriers are very effective in improving magnetization characteristics of variable flux memory motors (VFMMs). However, the reluctance torque tends to be declined because of small q-axis inductance. Therefore, a conventional VFMM using above two methods needs larger load current for achieving required maximum torque than that of a target traction motor which is mounted in TOYOTA PRIUS 4th generation. Hence, this paper proposes rotor shape that can increase the reluctance torque in order to achieve required maximum torque by applying same load current as that of the target motor. Finally, the proposed VFMM whose reluctance torque is improved can generate the target maximum torque with smaller load current than that of the conventional VFMM. In addition, the proposed VFMM has smaller maximum magnetizing current compared to that of the conventional model, and the proposed VFMM also indicates higher efficiency than that of the target traction motor in high speed region.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124128854","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 : 2020-10-11DOI: 10.1109/ECCE44975.2020.9236083
Xiang Liu, Yongchang Zhang, Haitao Yang, José R. Rodríguez
This paper proposes a model-free predictive current control (MFPCC) based on ultra-local model algorithm to control the grid-connected, pulse-width modulator driven voltage source converters with LCL filters. Finite Control Set Model Predictive Control (FCS-MPC) technique can offer superior dynamic response and the use of ultra-local model can offer robust control performance. Resonant current compensation is added in the out-loop control to eliminate the steady-state tracking error and to achieve superior disturbance rejection. A 3-phase/150V VSR with LCL filter experimental platform has been established to validate that utilizing the proposed ultra-local based MFPCC method, insensitivity to power supply fluctuations and to large load variations is ensured, which showing excellent agreement with those obtained in simulation.
{"title":"Model-Free Predictive Current Control for Three-Phase Power Converters With LCL Filter","authors":"Xiang Liu, Yongchang Zhang, Haitao Yang, José R. Rodríguez","doi":"10.1109/ECCE44975.2020.9236083","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9236083","url":null,"abstract":"This paper proposes a model-free predictive current control (MFPCC) based on ultra-local model algorithm to control the grid-connected, pulse-width modulator driven voltage source converters with LCL filters. Finite Control Set Model Predictive Control (FCS-MPC) technique can offer superior dynamic response and the use of ultra-local model can offer robust control performance. Resonant current compensation is added in the out-loop control to eliminate the steady-state tracking error and to achieve superior disturbance rejection. A 3-phase/150V VSR with LCL filter experimental platform has been established to validate that utilizing the proposed ultra-local based MFPCC method, insensitivity to power supply fluctuations and to large load variations is ensured, which showing excellent agreement with those obtained in simulation.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127699518","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 : 2020-10-11DOI: 10.1109/ECCE44975.2020.9235910
Ítalo A. Cavalcanti de Oliveira, C. Brandão Jacobina, Emerson de Lacerda Soares, N. Rocha
This paper presents the use of an active series compensator to improve the performance of wind energy conversion systems (WECS) using a grid-connected doubly-fed induction generator (DFIG) during grid disturbances. The series active compensator is based on a two-level three-phase inverter cascaded with three H-bridge inverters operating with floating capacitors and without using injection transformer. The converter operating principles and control strategies are discussed. Steady-state simulations were obtained for the DFIG with constant torque. Experimental results are also presented. It was verified that the proposed system is able to maintain sinusoidal and compensated voltages on the DFIG stator windings, even during a distorted grid voltage sag event.
{"title":"Cascaded Three-Phase H-Bridge Converter Applied as Series Active Compensator for DFIG-Based Wind Energy Conversion Systems","authors":"Ítalo A. Cavalcanti de Oliveira, C. Brandão Jacobina, Emerson de Lacerda Soares, N. Rocha","doi":"10.1109/ECCE44975.2020.9235910","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9235910","url":null,"abstract":"This paper presents the use of an active series compensator to improve the performance of wind energy conversion systems (WECS) using a grid-connected doubly-fed induction generator (DFIG) during grid disturbances. The series active compensator is based on a two-level three-phase inverter cascaded with three H-bridge inverters operating with floating capacitors and without using injection transformer. The converter operating principles and control strategies are discussed. Steady-state simulations were obtained for the DFIG with constant torque. Experimental results are also presented. It was verified that the proposed system is able to maintain sinusoidal and compensated voltages on the DFIG stator windings, even during a distorted grid voltage sag event.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126300423","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 : 2020-10-11DOI: 10.1109/ECCE44975.2020.9235930
S. Ziyabari, Liang Du, S. Biswas
For having a stable and reliable smart grid system, an accurate short-term solar irradiance forecasting is necessary. The challenges arise while solar energy has variable and fluctuating nature due to complex weather conditions, temperature, and meteorological factors. Machine learning and deep learning techniques besides traditional time-series forecasting methods are considered to be effective tools to have precise short-term solar forecasting system, while they are analyzing the time-series solar data at single resolution and unable to capture their sudden and short variations. In this paper, we propose a novel deep architecture consisting multi-branch residual network (ResNet) to model the solar irradiance data at different resolutions and extract hierarchical features to improve the forecasting accuracy. We evaluate the performance of the proposed model relative to other deep learning models, ResNet, and long short-term memory (LSTM), using seventeen years of data from twelve different sites in Philadelphia. Numerical results show the state-of-the-art performance on half-day-ahead forecasting.
{"title":"Short-term Solar Irradiance Forecasting Based on Multi-Branch Residual Network","authors":"S. Ziyabari, Liang Du, S. Biswas","doi":"10.1109/ECCE44975.2020.9235930","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9235930","url":null,"abstract":"For having a stable and reliable smart grid system, an accurate short-term solar irradiance forecasting is necessary. The challenges arise while solar energy has variable and fluctuating nature due to complex weather conditions, temperature, and meteorological factors. Machine learning and deep learning techniques besides traditional time-series forecasting methods are considered to be effective tools to have precise short-term solar forecasting system, while they are analyzing the time-series solar data at single resolution and unable to capture their sudden and short variations. In this paper, we propose a novel deep architecture consisting multi-branch residual network (ResNet) to model the solar irradiance data at different resolutions and extract hierarchical features to improve the forecasting accuracy. We evaluate the performance of the proposed model relative to other deep learning models, ResNet, and long short-term memory (LSTM), using seventeen years of data from twelve different sites in Philadelphia. Numerical results show the state-of-the-art performance on half-day-ahead forecasting.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"96 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127997463","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 : 2020-10-11DOI: 10.1109/ECCE44975.2020.9236398
Samuel Webb, Yanfei Liu
The demand for internet and computing resources has led to datacenters and servers being one of the fastest growing consumers of power in the world today. While datacenter power architectures have improved over time, the majority of the loss still occurs at the server power supply, and board level voltage regulators. To attempt to improve this, Google has proposed and implemented a 48 volt server architecture that can significantly reduce both the upstream conversion losses, and the distribution losses within the server racks. To fully realize these benefits new technology is needed to convert 48 volts down to the point of load voltage levels. In this paper a regulation technique for the zero inductor-voltage converter is proposed. This modified control scheme allowed the ZIV converter topology to provide a regulated 12V output from 48/60V input range without sacrificing many of the key advantages that allow the ZIV converter to achieve the highest demonstrated power density and efficiency for intermediate bus converter technologies.
{"title":"A Quasi Output Voltage Regulation Technique for the Zero InductorVoltage Converter","authors":"Samuel Webb, Yanfei Liu","doi":"10.1109/ECCE44975.2020.9236398","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9236398","url":null,"abstract":"The demand for internet and computing resources has led to datacenters and servers being one of the fastest growing consumers of power in the world today. While datacenter power architectures have improved over time, the majority of the loss still occurs at the server power supply, and board level voltage regulators. To attempt to improve this, Google has proposed and implemented a 48 volt server architecture that can significantly reduce both the upstream conversion losses, and the distribution losses within the server racks. To fully realize these benefits new technology is needed to convert 48 volts down to the point of load voltage levels. In this paper a regulation technique for the zero inductor-voltage converter is proposed. This modified control scheme allowed the ZIV converter topology to provide a regulated 12V output from 48/60V input range without sacrificing many of the key advantages that allow the ZIV converter to achieve the highest demonstrated power density and efficiency for intermediate bus converter technologies.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"300 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128078890","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 : 2020-10-11DOI: 10.1109/ECCE44975.2020.9236318
Jacopo Riccio, S. Odhano, Mi Tang, P. Zanchetta
This paper proposes a sensorless cascaded model predictive control strategy applied to a doubly-fed induction machine. This technique is based on an improved stator flux estimator, and an extended Kalman filter to control encoder-less and independently the electromagnetic torque and the reactive power of the machine. The purpose of employing a model predictive-based control, is to achieve fast dynamic response and upgrading it with a modulation stage to mitigate the control variables ripple. The introduced control technique might be considered for adjustable speed application such as wind energy conversion systems.
{"title":"Sensorless Cascaded-Model Predictive Control applied to a Doubly Fed Induction Machine","authors":"Jacopo Riccio, S. Odhano, Mi Tang, P. Zanchetta","doi":"10.1109/ECCE44975.2020.9236318","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9236318","url":null,"abstract":"This paper proposes a sensorless cascaded model predictive control strategy applied to a doubly-fed induction machine. This technique is based on an improved stator flux estimator, and an extended Kalman filter to control encoder-less and independently the electromagnetic torque and the reactive power of the machine. The purpose of employing a model predictive-based control, is to achieve fast dynamic response and upgrading it with a modulation stage to mitigate the control variables ripple. The introduced control technique might be considered for adjustable speed application such as wind energy conversion systems.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125976404","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 : 2020-10-11DOI: 10.1109/ECCE44975.2020.9235659
Mingqiang Wang, Zhenpo Wang, Lei Zhang, D. Dorrell
Trajectory planning is essential for autonomous vehicles when operating in dynamic traffic environments. A layered approach usually separates out into path planning and speed planning. In the work reported in this paper, speed profile planning over a given path, which is defined by a trajectory planner, is proposed. The relevant information is provided by vehicle-to-vehicle (V2V) communication. First, a speed planning optimization algorithm which considers safety, time efficiency, smoothness and comfort constraints is presented. This strategy can provide a safe, comfortable and feasible speed profile for autonomous driving via a S-T graph under a complex traffic environment. Secondly, a conventional non-convex optimization problem is translated into a quadratic programming problem. This has the advantage of a low computation requirement because it uses a CFS (convex feasible set) algorithm. The effectiveness of the proposed scheme is verified through simulation studies in various urban driving scenarios. This holistic approach provides a more effective approach to speed and trajectory planning.
{"title":"Speed Planning for Autonomous Driving in Dynamic Urban Driving Scenarios","authors":"Mingqiang Wang, Zhenpo Wang, Lei Zhang, D. Dorrell","doi":"10.1109/ECCE44975.2020.9235659","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9235659","url":null,"abstract":"Trajectory planning is essential for autonomous vehicles when operating in dynamic traffic environments. A layered approach usually separates out into path planning and speed planning. In the work reported in this paper, speed profile planning over a given path, which is defined by a trajectory planner, is proposed. The relevant information is provided by vehicle-to-vehicle (V2V) communication. First, a speed planning optimization algorithm which considers safety, time efficiency, smoothness and comfort constraints is presented. This strategy can provide a safe, comfortable and feasible speed profile for autonomous driving via a S-T graph under a complex traffic environment. Secondly, a conventional non-convex optimization problem is translated into a quadratic programming problem. This has the advantage of a low computation requirement because it uses a CFS (convex feasible set) algorithm. The effectiveness of the proposed scheme is verified through simulation studies in various urban driving scenarios. This holistic approach provides a more effective approach to speed and trajectory planning.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125985338","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 : 2020-10-11DOI: 10.1109/ECCE44975.2020.9235944
Tamanwe Payarou, P. Pillay
This paper proposes and analyses a novel multipurpose power electronic interface (MPEI) designed for the new generation plug-in electric vehicles (PEVs), and plug-in hybrid electric vehicles (PHEVs). The proposed topology allows vehicle to grid (V2G) and grid to vehicle (G2V) operation to support the grid in times of high load or stress. The operation principles of the MPEI in its different modes are explained and practical results obtained using a real-time controller are discussed and validated in this paper.
{"title":"A Novel Multipurpose V2G & G2V Power Electronics Interface for Electric Vehicles","authors":"Tamanwe Payarou, P. Pillay","doi":"10.1109/ECCE44975.2020.9235944","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9235944","url":null,"abstract":"This paper proposes and analyses a novel multipurpose power electronic interface (MPEI) designed for the new generation plug-in electric vehicles (PEVs), and plug-in hybrid electric vehicles (PHEVs). The proposed topology allows vehicle to grid (V2G) and grid to vehicle (G2V) operation to support the grid in times of high load or stress. The operation principles of the MPEI in its different modes are explained and practical results obtained using a real-time controller are discussed and validated in this paper.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127884501","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 : 2020-10-11DOI: 10.1109/ECCE44975.2020.9236284
Stefan Leitner, Thomas Kulterer, Hannes Gruebler, A. Muetze
Automotive auxiliary drives often have to operate over a large temperature range, e.g., between -40 and 135 degrees Celcius. Especially for operation at high ambient temperatures, the understanding of their thermal characteristics is highly important as, e.g., the electromagnetic characteristics of permanent-magnets are strongly temperature-dependent. To this aim, this paper investigates the steady-state and transient thermal performances of different low-cost sub-fractional horsepower single-phase BLDC claw-pole motor designs suitable, e.g., for fan applications. Both numerical and experimental analyses are carried out to determine the parameters of a simple thermal equivalent circuit. The studied claw-pole motor designs show similar thermal performances, which allows all of them to be used in an automotive auxiliary drive system.
{"title":"Characterization of the Thermal Performances of Low-Cost Sub-Fractional Horsepower BLDC Claw-Pole Motor Designs","authors":"Stefan Leitner, Thomas Kulterer, Hannes Gruebler, A. Muetze","doi":"10.1109/ECCE44975.2020.9236284","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9236284","url":null,"abstract":"Automotive auxiliary drives often have to operate over a large temperature range, e.g., between -40 and 135 degrees Celcius. Especially for operation at high ambient temperatures, the understanding of their thermal characteristics is highly important as, e.g., the electromagnetic characteristics of permanent-magnets are strongly temperature-dependent. To this aim, this paper investigates the steady-state and transient thermal performances of different low-cost sub-fractional horsepower single-phase BLDC claw-pole motor designs suitable, e.g., for fan applications. Both numerical and experimental analyses are carried out to determine the parameters of a simple thermal equivalent circuit. The studied claw-pole motor designs show similar thermal performances, which allows all of them to be used in an automotive auxiliary drive system.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128176577","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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