Pub Date : 2021-06-21DOI: 10.1109/ITEC51675.2021.9490082
Wesam Taha, B. Nahid-Mobarakeh, J. Bauman
This paper presents an efficiency evaluation of three silicon carbide (SiC) inverter topologies: two-level (2L) voltage source inverter (VSI), 3L neutral-point clamped (NPC), and 3L T-type inverter. Their efficiency is evaluated for powertrains rated at 400 V and 800 V, and using SiC MOSFET devices rated at 650 V and 1200 V operating at a switching frequency of 30 kHz. Firstly, the efficiency is evaluated at different operating load currents, on a per-unit scale. Secondly, the efficiency curves are mapped into torque-speed 2D maps of 120 kW interior permanent magnet (IPM) motors. Thirdly, the resulting efficiency maps are employed in an electric vehicle (EV) model, in order to study the performance of the three inverters on standard drive cycles. At the vehicle level, the energy consumption of the vehicle using the studied inverters is analyzed. It is found that 3L SiC-based inverters are most competitive in the 800 V powertrain. When compared to VSI, NPC and T-type offer 0.6% and 1.2% energy consumption savings. In 400 V, only T-type enjoys 0.9% energy savings over VSI.
{"title":"Efficiency Evaluation of 2L and 3L SiC-Based Traction Inverters for 400V and 800V Electric Vehicle Powertrains","authors":"Wesam Taha, B. Nahid-Mobarakeh, J. Bauman","doi":"10.1109/ITEC51675.2021.9490082","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490082","url":null,"abstract":"This paper presents an efficiency evaluation of three silicon carbide (SiC) inverter topologies: two-level (2L) voltage source inverter (VSI), 3L neutral-point clamped (NPC), and 3L T-type inverter. Their efficiency is evaluated for powertrains rated at 400 V and 800 V, and using SiC MOSFET devices rated at 650 V and 1200 V operating at a switching frequency of 30 kHz. Firstly, the efficiency is evaluated at different operating load currents, on a per-unit scale. Secondly, the efficiency curves are mapped into torque-speed 2D maps of 120 kW interior permanent magnet (IPM) motors. Thirdly, the resulting efficiency maps are employed in an electric vehicle (EV) model, in order to study the performance of the three inverters on standard drive cycles. At the vehicle level, the energy consumption of the vehicle using the studied inverters is analyzed. It is found that 3L SiC-based inverters are most competitive in the 800 V powertrain. When compared to VSI, NPC and T-type offer 0.6% and 1.2% energy consumption savings. In 400 V, only T-type enjoys 0.9% energy savings over VSI.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115710895","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 : 2021-06-21DOI: 10.1109/ITEC51675.2021.9490049
A. Abdelrahman, Yawei Wang, D. Al-Ani, B. Bilgin
In order to simultaneously address the packaging and cost constraints stipulated by the U.S. Department of Energy for future electric vehicles, the necessity for high-power density interior permanent magnet motors (IPMs) has become more significant. Hence, maximizing the ratio of torque per permanent magnet mass (Tmax/Gm) of IPMs is considered an essential optimization target. In this paper, two different rotor structures, delta-shape, and double V-shape, for a dual three-phase traction motor design are comparatively investigated in terms of their electromagnetic performance. The two topologies are comprehensively evaluated for torque, torque ripple, demagnetization, and efficiency. The adopted design approach aims to bring a significant PM mass reduction along with achieving maximum torque yielding a cost-effective solution. The results show that the delta-shape configuration is a better candidate for the selected application in terms of the electromagnetic performance and PM material mass. However, the double V-shape is performing better with demagnetization and in the flux weakening region.
{"title":"Comparative Analysis of Two Rotor Topologies for a High-Power Density Dual Three-Phase IPM Propulsion Motor","authors":"A. Abdelrahman, Yawei Wang, D. Al-Ani, B. Bilgin","doi":"10.1109/ITEC51675.2021.9490049","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490049","url":null,"abstract":"In order to simultaneously address the packaging and cost constraints stipulated by the U.S. Department of Energy for future electric vehicles, the necessity for high-power density interior permanent magnet motors (IPMs) has become more significant. Hence, maximizing the ratio of torque per permanent magnet mass (Tmax/Gm) of IPMs is considered an essential optimization target. In this paper, two different rotor structures, delta-shape, and double V-shape, for a dual three-phase traction motor design are comparatively investigated in terms of their electromagnetic performance. The two topologies are comprehensively evaluated for torque, torque ripple, demagnetization, and efficiency. The adopted design approach aims to bring a significant PM mass reduction along with achieving maximum torque yielding a cost-effective solution. The results show that the delta-shape configuration is a better candidate for the selected application in terms of the electromagnetic performance and PM material mass. However, the double V-shape is performing better with demagnetization and in the flux weakening region.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123661818","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 : 2021-06-21DOI: 10.1109/ITEC51675.2021.9490186
A. Sahu, A. Abdelrahman, D. Al-Ani, B. Bilgin
Air flux barriers and bridges are critical rotor topology structures for better electromagnetic performance in permanent magnet machines. Rotor parts in these machines experience high and fluctuating stresses, which may lead to fatigue failure of these metal bridges. Further, the heat generated due to core losses results in thermal stresses, which append to the stresses due to centrifugal force. This paper presents a design strategy to evaluate the fatigue life of the rotor structure considering thermal and mechanical loads from a drive cycle. Moreover, the rotor topology is optimized to meet the stress limits without compromising the electromagnetic targets.
{"title":"Fatigue Life Calculation and Mitigation of Bridge Stresses in the Rotor Core of a Delta-Shape Interior Permanent Magnet Motor","authors":"A. Sahu, A. Abdelrahman, D. Al-Ani, B. Bilgin","doi":"10.1109/ITEC51675.2021.9490186","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490186","url":null,"abstract":"Air flux barriers and bridges are critical rotor topology structures for better electromagnetic performance in permanent magnet machines. Rotor parts in these machines experience high and fluctuating stresses, which may lead to fatigue failure of these metal bridges. Further, the heat generated due to core losses results in thermal stresses, which append to the stresses due to centrifugal force. This paper presents a design strategy to evaluate the fatigue life of the rotor structure considering thermal and mechanical loads from a drive cycle. Moreover, the rotor topology is optimized to meet the stress limits without compromising the electromagnetic targets.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116872055","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 : 2021-06-21DOI: 10.1109/ITEC51675.2021.9490069
Anuj Sanghvi, T. Markel
The integration of electric vehicles (EVs) into electric grid operations can potentially leave the grid vulnerable to cyberattacks from both legacy and new equipment and protocols, including extreme fast-charging infrastructure. This paper introduces a co-simulation platform to perform cyber vulnerability analysis of EV charging infrastructure and its dependencies on communications and control systems. Grid impact scenarios through linkages to power system simulation tools such as OpenDSS and vehicle infrastructure-specific attack paths are discussed. An adaptive platform that assists with predicting and solving evolving cybersecurity challenges is demonstrated with a cyber-energy emulation that accelerates the analysis of cyberattacks and system behavior.
{"title":"Cybersecurity for Electric Vehicle Fast-Charging Infrastructure","authors":"Anuj Sanghvi, T. Markel","doi":"10.1109/ITEC51675.2021.9490069","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490069","url":null,"abstract":"The integration of electric vehicles (EVs) into electric grid operations can potentially leave the grid vulnerable to cyberattacks from both legacy and new equipment and protocols, including extreme fast-charging infrastructure. This paper introduces a co-simulation platform to perform cyber vulnerability analysis of EV charging infrastructure and its dependencies on communications and control systems. Grid impact scenarios through linkages to power system simulation tools such as OpenDSS and vehicle infrastructure-specific attack paths are discussed. An adaptive platform that assists with predicting and solving evolving cybersecurity challenges is demonstrated with a cyber-energy emulation that accelerates the analysis of cyberattacks and system behavior.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126937123","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 : 2021-06-21DOI: 10.1109/ITEC51675.2021.9490051
A. Verma, Bhim Singh
This paper presents the control and implementation of multifunctional electric vehicle charging station (EVCS) assisted by the wind energy conversion system (WECS) and the PV array, an energy storage battery and the grid. In an islanded mode (IM), the WECS and PV array are used to charge the vehicle and to supply the domestic equipment's connected to the EVCS in coordination with the storage battery. However, the excess power is sent back to the grid for power balance. This EVCS supports the AC as well as DC charging. To achieve the continuous charging, seamless mode transition logic is embedded into the charging station control. Apart from the regular operation of the charging, the EVCS participates in various ancillary services. The operation of EVCS and effectiveness of the control algorithm are validated through the simulation and the experimental results.
{"title":"Control of PV Array-WECS Based EV Charging Station with Seamless Grid Interface","authors":"A. Verma, Bhim Singh","doi":"10.1109/ITEC51675.2021.9490051","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490051","url":null,"abstract":"This paper presents the control and implementation of multifunctional electric vehicle charging station (EVCS) assisted by the wind energy conversion system (WECS) and the PV array, an energy storage battery and the grid. In an islanded mode (IM), the WECS and PV array are used to charge the vehicle and to supply the domestic equipment's connected to the EVCS in coordination with the storage battery. However, the excess power is sent back to the grid for power balance. This EVCS supports the AC as well as DC charging. To achieve the continuous charging, seamless mode transition logic is embedded into the charging station control. Apart from the regular operation of the charging, the EVCS participates in various ancillary services. The operation of EVCS and effectiveness of the control algorithm are validated through the simulation and the experimental results.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121182841","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 : 2021-06-21DOI: 10.1109/ITEC51675.2021.9490111
Noureddine Bouisalmane, Tianhong Wang, E. Breaz, S. Doubabi, D. Paire, Jorn Oubraham, Michael Levy, Fei Gao
Concerning the fuel cell electric vehicles, the multi-stack fuel cell system (MFCS) offers superior performance and reliability over single stack fuel cell system. In order to obtain the lowest hydrogen consumption, this paper proposes a power allocation strategy using the Particle Swarm Optimization (PSO) algorithm. The MFCS is composed of two 300 W fuel cell stacks and a 360 Wh battery. The simulation results have shown that the performance of the proposed strategy can achieve more satisfactory results in terms of minimizing hydrogen consumption and managing the battery state of charge, compared to the equidistributional method.
{"title":"Hydrogen consumption minimization with optimal power allocation of multi-stack fuel cell system using particle swarm optimization","authors":"Noureddine Bouisalmane, Tianhong Wang, E. Breaz, S. Doubabi, D. Paire, Jorn Oubraham, Michael Levy, Fei Gao","doi":"10.1109/ITEC51675.2021.9490111","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490111","url":null,"abstract":"Concerning the fuel cell electric vehicles, the multi-stack fuel cell system (MFCS) offers superior performance and reliability over single stack fuel cell system. In order to obtain the lowest hydrogen consumption, this paper proposes a power allocation strategy using the Particle Swarm Optimization (PSO) algorithm. The MFCS is composed of two 300 W fuel cell stacks and a 360 Wh battery. The simulation results have shown that the performance of the proposed strategy can achieve more satisfactory results in terms of minimizing hydrogen consumption and managing the battery state of charge, compared to the equidistributional method.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121260513","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 : 2021-06-21DOI: 10.1109/ITEC51675.2021.9490162
D. Lawhorn, Peng Han, Donovin D. Lewis, Yaser Chulaee, D. Ionel
This paper presents design and prototyping studies for coreless and slotless permanent magnet (PM) machines, which have the potential for high power density and efficiency, and discusses their feasibility for electric aircraft propulsion. The emphasis is on axial flux permanent magnet (AFPM) machines with printed circuit board (PCB) stators that have advantages over their wired counterparts in terms of design flexibility, coil accuracy, manufacturing process reliability, and heat dissipation. Detailed electromagnetic finite element analysis models were developed and employed alongside analytical sizing equations to evaluate the performance of two dual-rotor single-stator coreless AFPM designs employing wave and spiral PCB winding patterns. Design considerations for a 10kW 2,600rpm rating similar to the NASA X-57 electric aircraft propulsor motors are included. A 26-pole prototype machine has been developed and experimental testing results are presented.
{"title":"On the Design of Coreless Permanent Magnet Machines for Electric Aircraft Propulsion","authors":"D. Lawhorn, Peng Han, Donovin D. Lewis, Yaser Chulaee, D. Ionel","doi":"10.1109/ITEC51675.2021.9490162","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490162","url":null,"abstract":"This paper presents design and prototyping studies for coreless and slotless permanent magnet (PM) machines, which have the potential for high power density and efficiency, and discusses their feasibility for electric aircraft propulsion. The emphasis is on axial flux permanent magnet (AFPM) machines with printed circuit board (PCB) stators that have advantages over their wired counterparts in terms of design flexibility, coil accuracy, manufacturing process reliability, and heat dissipation. Detailed electromagnetic finite element analysis models were developed and employed alongside analytical sizing equations to evaluate the performance of two dual-rotor single-stator coreless AFPM designs employing wave and spiral PCB winding patterns. Design considerations for a 10kW 2,600rpm rating similar to the NASA X-57 electric aircraft propulsor motors are included. A 26-pole prototype machine has been developed and experimental testing results are presented.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116192473","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 : 2021-06-21DOI: 10.1109/ITEC51675.2021.9490068
H. Jafari, Temitayo O. Olowu, Maryam Mahmoudi, A. Sarwat
This paper proposes a multi-objective design optimization of bipolar power pads (BPP) of dynamic inductive electric power transfer (IPT) with application in electric vehicles. Minimization of IPT's design cost, power loss, and maximization of the IPT system's tolerance against horizontal/vertical misalignment are considered as objective functions during optimization process. The proposed design variables of the proposed algorithm are the shield plate length and width, ferrite bar length and width, the overlapping length of the coils, the coil width and inner length of the coil. Power electronic limitations, maximum allowable electromagnetic field exposure, minimum efficiency (≤ 80%), and upper/lower limits of design parameters are considered as the constraints of this optimization problem. The time harmonic electromagnetic physics model of the BPP is analyzed using an FEMM software coupled with MATLAB. A Non-Dominated Genetic Algorithm (NSGA-II) is employed as the optimization method, in which, the electromagnetic magnetic measurements from the FEMM software is used to evaluate the fitness values of the proposed objectives. The proposed BPP design optimization is applied on a 10-kW IPT system as a case study. The optimization results produced 15 Pareto optimal solutions which allows the designer to select the best design parameters based on the objectives of highest priority. The experimental setup of the dynamic IPT system based on one of the Pareto solution parameters is constructed and illustrated with details.
{"title":"Optimal Design of Bipolar Power Pad for Dynamic Inductive EV Charging System Application","authors":"H. Jafari, Temitayo O. Olowu, Maryam Mahmoudi, A. Sarwat","doi":"10.1109/ITEC51675.2021.9490068","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490068","url":null,"abstract":"This paper proposes a multi-objective design optimization of bipolar power pads (BPP) of dynamic inductive electric power transfer (IPT) with application in electric vehicles. Minimization of IPT's design cost, power loss, and maximization of the IPT system's tolerance against horizontal/vertical misalignment are considered as objective functions during optimization process. The proposed design variables of the proposed algorithm are the shield plate length and width, ferrite bar length and width, the overlapping length of the coils, the coil width and inner length of the coil. Power electronic limitations, maximum allowable electromagnetic field exposure, minimum efficiency (≤ 80%), and upper/lower limits of design parameters are considered as the constraints of this optimization problem. The time harmonic electromagnetic physics model of the BPP is analyzed using an FEMM software coupled with MATLAB. A Non-Dominated Genetic Algorithm (NSGA-II) is employed as the optimization method, in which, the electromagnetic magnetic measurements from the FEMM software is used to evaluate the fitness values of the proposed objectives. The proposed BPP design optimization is applied on a 10-kW IPT system as a case study. The optimization results produced 15 Pareto optimal solutions which allows the designer to select the best design parameters based on the objectives of highest priority. The experimental setup of the dynamic IPT system based on one of the Pareto solution parameters is constructed and illustrated with details.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114812981","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 : 2021-06-21DOI: 10.1109/ITEC51675.2021.9490079
Ahmad Almaghrebi, Xiaoyue Cheng, K. James, M. Alahmad
While the increase in EV use is a positive step towards embracing green technology, the heightened energy demands resulting from this rapid growth present major challenges to local energy grid load management. For context, the new EVs being deployed store approximately 100 kWh, about four times the daily electricity use of the average household in the U.S. Current local distribution grids do not have the capacity to accommodate these massively increased loads. For this reason, it is important that local utilities have a full understanding of the charging demand within a given grid. The main objective of this research is to deepen the understanding of charging behavior at the household level using real data. Specifically, data from existing 417 residential Level-2 charging stations, located in Omaha, Nebraska, USA, are collected and analyzed. The results show a clear pattern in user behavior for the starting time of sessions, as well as the connection duration, charging duration, and subsequent energy demand.
{"title":"Analysis of PEV User Charging Behavior at Household Charging Stations, Omaha Case Study","authors":"Ahmad Almaghrebi, Xiaoyue Cheng, K. James, M. Alahmad","doi":"10.1109/ITEC51675.2021.9490079","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490079","url":null,"abstract":"While the increase in EV use is a positive step towards embracing green technology, the heightened energy demands resulting from this rapid growth present major challenges to local energy grid load management. For context, the new EVs being deployed store approximately 100 kWh, about four times the daily electricity use of the average household in the U.S. Current local distribution grids do not have the capacity to accommodate these massively increased loads. For this reason, it is important that local utilities have a full understanding of the charging demand within a given grid. The main objective of this research is to deepen the understanding of charging behavior at the household level using real data. Specifically, data from existing 417 residential Level-2 charging stations, located in Omaha, Nebraska, USA, are collected and analyzed. The results show a clear pattern in user behavior for the starting time of sessions, as well as the connection duration, charging duration, and subsequent energy demand.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127776784","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 : 2021-06-21DOI: 10.1109/ITEC51675.2021.9490160
Yicheng Wang, A. Poorfakhraei, Narimani Mehdi, A. Emadi
This paper presents a comprehensive analysis and comparison between the 2-level voltage source inverter, 3-level neutral point clamped, and 3-level active neutral point clamped inverters in traction inverters. In this comparison Silicon Carbide MOSFET, Gallium Nitride MOSFET and Silicon IGBT are employed. An analytical method for calculating the inverter power loss is also presented in this paper. Simulation results are conducted using MATLAB/Simulink and PLECS at different operating conditions. A permanent magnet synchronous motor is used as the load. The analysis and comparison have been conducted at different operating points regarding the speed and torque. The performance of each inverter topology is also investigated at different switching frequencies for these operating conditions. Moreover, two drive cycle analyses are also studied and included in this paper.
{"title":"Comparative Analysis of 2-Level and 3-Level Voltage Source Inverters in Traction Applications","authors":"Yicheng Wang, A. Poorfakhraei, Narimani Mehdi, A. Emadi","doi":"10.1109/ITEC51675.2021.9490160","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490160","url":null,"abstract":"This paper presents a comprehensive analysis and comparison between the 2-level voltage source inverter, 3-level neutral point clamped, and 3-level active neutral point clamped inverters in traction inverters. In this comparison Silicon Carbide MOSFET, Gallium Nitride MOSFET and Silicon IGBT are employed. An analytical method for calculating the inverter power loss is also presented in this paper. Simulation results are conducted using MATLAB/Simulink and PLECS at different operating conditions. A permanent magnet synchronous motor is used as the load. The analysis and comparison have been conducted at different operating points regarding the speed and torque. The performance of each inverter topology is also investigated at different switching frequencies for these operating conditions. Moreover, two drive cycle analyses are also studied and included in this paper.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130437983","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：