Pub Date : 2022-06-15DOI: 10.1109/ITEC53557.2022.9813821
Mark Scott, Will Perdikakis, Chase Kitzmiller, K. Yost, Chad Miller
This paper examines the conducted electromagnetic interference (EMI) generated by a two-level voltage-source inverter (VSI) that performs active rectification. The paper evaluates two test configurations. The first configuration uses an aerospace wound-field synchronous (WF) machine as the active-rectifier’s power source. For the second configuration, the active rectifier’s power source is an automotive interior permanent magnet (IPM) machine. Each machine provides a nominal 115Vac at a power level of 40kW, and the active rectifier converts the ac-voltage to a nominal 270Vdc. The research evaluates each active rectifier configuration against MIL-STD-461G and DO-160G, and in both cases, the active rectifier produces higher EMI when the IPM machine is the power source. Finally, this study designs and analyzes four second-order common-mode filters and four fourth-order common-mode filters. The result is that each machine has two filters to pass MIL-STD-461G and two filters to comply with DO-160G. As expected, the IPM-based active rectification systems needs a larger common-mode inductance under every testing condition. It requires a second-order filter inductance that is 12-times higher than the WF-based active rectifier system. The second-order filter’s inductance is 80-times larger for DO-160G compliance.
{"title":"Conducted EMI Comparison of Two Electric Machines used in Electrified Transportation","authors":"Mark Scott, Will Perdikakis, Chase Kitzmiller, K. Yost, Chad Miller","doi":"10.1109/ITEC53557.2022.9813821","DOIUrl":"https://doi.org/10.1109/ITEC53557.2022.9813821","url":null,"abstract":"This paper examines the conducted electromagnetic interference (EMI) generated by a two-level voltage-source inverter (VSI) that performs active rectification. The paper evaluates two test configurations. The first configuration uses an aerospace wound-field synchronous (WF) machine as the active-rectifier’s power source. For the second configuration, the active rectifier’s power source is an automotive interior permanent magnet (IPM) machine. Each machine provides a nominal 115Vac at a power level of 40kW, and the active rectifier converts the ac-voltage to a nominal 270Vdc. The research evaluates each active rectifier configuration against MIL-STD-461G and DO-160G, and in both cases, the active rectifier produces higher EMI when the IPM machine is the power source. Finally, this study designs and analyzes four second-order common-mode filters and four fourth-order common-mode filters. The result is that each machine has two filters to pass MIL-STD-461G and two filters to comply with DO-160G. As expected, the IPM-based active rectification systems needs a larger common-mode inductance under every testing condition. It requires a second-order filter inductance that is 12-times higher than the WF-based active rectifier system. The second-order filter’s inductance is 80-times larger for DO-160G compliance.","PeriodicalId":275570,"journal":{"name":"2022 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134299999","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 : 2022-06-15DOI: 10.1109/ITEC53557.2022.9814012
Anusha Harish, Jonathan C. Gladin, D. Mavris
Rising environmental concerns has led the aviation industry around the world to set high targets to reduce carbon emission. Revolutionary concepts with unconventional propulsion systems and energy sources are seen as a necessity to achieve carbon neutrality. These include hydrogen combustion, electrified propulsion powered by batteries or hydrogen fuel cells, sustainable aviation fuels, and distributed propulsion. With several potential alternatives still being researched and developed, the path to sustainable aviation is still unclear. This research aims to develop a methodology to quickly assess different concepts based on performance as well as environmental metrics using simple analytical equations, and provide insights about the tradespace for these concepts. At the pre-conceptual design phase, a key performance indicator is the aircraft range, which takes into account the aerodynamics, propulsion and the weight of the aircraft. The objective of this paper is to propose a unified range equation that is applicable to concepts with one or more energy sources and any powertrain architecture. The mathematical equivalence of this equation to range equations derived by other authors, specifically for electrified propulsion, is demonstrated. Finally, the overall efficiency and range equations are derived for a complex aircraft architecture with dual energy sources, multiple propellers and unconventional powertrain configurations, to demonstrate the universality and ease of use of this method.
{"title":"Universal Range Equation for Unconventional Aircraft Concepts","authors":"Anusha Harish, Jonathan C. Gladin, D. Mavris","doi":"10.1109/ITEC53557.2022.9814012","DOIUrl":"https://doi.org/10.1109/ITEC53557.2022.9814012","url":null,"abstract":"Rising environmental concerns has led the aviation industry around the world to set high targets to reduce carbon emission. Revolutionary concepts with unconventional propulsion systems and energy sources are seen as a necessity to achieve carbon neutrality. These include hydrogen combustion, electrified propulsion powered by batteries or hydrogen fuel cells, sustainable aviation fuels, and distributed propulsion. With several potential alternatives still being researched and developed, the path to sustainable aviation is still unclear. This research aims to develop a methodology to quickly assess different concepts based on performance as well as environmental metrics using simple analytical equations, and provide insights about the tradespace for these concepts. At the pre-conceptual design phase, a key performance indicator is the aircraft range, which takes into account the aerodynamics, propulsion and the weight of the aircraft. The objective of this paper is to propose a unified range equation that is applicable to concepts with one or more energy sources and any powertrain architecture. The mathematical equivalence of this equation to range equations derived by other authors, specifically for electrified propulsion, is demonstrated. Finally, the overall efficiency and range equations are derived for a complex aircraft architecture with dual energy sources, multiple propellers and unconventional powertrain configurations, to demonstrate the universality and ease of use of this method.","PeriodicalId":275570,"journal":{"name":"2022 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114176264","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 : 2022-06-15DOI: 10.1109/ITEC53557.2022.9813805
Alan Gen Li, M. Preindl
Lithium-ion battery strings are important modules in battery packs. Due to cell variation, strings may have imbalanced state of charge levels, reducing pack capacity and exacerbating degradation. While much research has been devoted to individual cells, string diagnostics using pulse-injection-aided machine learning can reduce sensing requirements and simplify computations. Experimental voltage response data from pulse perturbation of battery cells is used to generate virtual cell strings and ‘design’ the state of charge imbalance within the string. A feedforward neural network is trained on thousands of unique virtual string voltages and can distinguish between the balanced and imbalanced strings with up to 95% accuracy. Verification is performed using different string configurations and state of charge levels. The proposed technique has high promise and could be used to localize or regress the degree of imbalance.
{"title":"State of Charge Imbalance Classification of Lithium-ion Battery Strings using Pulse-Injection-Aided Machine Learning","authors":"Alan Gen Li, M. Preindl","doi":"10.1109/ITEC53557.2022.9813805","DOIUrl":"https://doi.org/10.1109/ITEC53557.2022.9813805","url":null,"abstract":"Lithium-ion battery strings are important modules in battery packs. Due to cell variation, strings may have imbalanced state of charge levels, reducing pack capacity and exacerbating degradation. While much research has been devoted to individual cells, string diagnostics using pulse-injection-aided machine learning can reduce sensing requirements and simplify computations. Experimental voltage response data from pulse perturbation of battery cells is used to generate virtual cell strings and ‘design’ the state of charge imbalance within the string. A feedforward neural network is trained on thousands of unique virtual string voltages and can distinguish between the balanced and imbalanced strings with up to 95% accuracy. Verification is performed using different string configurations and state of charge levels. The proposed technique has high promise and could be used to localize or regress the degree of imbalance.","PeriodicalId":275570,"journal":{"name":"2022 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114284717","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 : 2022-06-15DOI: 10.1109/ITEC53557.2022.9813849
Alice Dong, Danial Sadeghpour, J. Bauman
Electric vehicle (EV) on-board chargers (OBCs) should have high efficiency and high power density. Since the transformers in isolated OBCs generally lower both of these metrics, this paper proposes a novel non-isolated OBC with very high efficiency and a low component count. Active filtering is proposed to allow the use of smaller dc-link film capacitors to further improve power density. This paper discusses the design process for the dc-link capacitors and the operation of the active filtering control. Simulation results show that for level 2 charging, the proposed converter has a peak efficiency of 98.8% and efficiency of 98.6% at full 3.3 kW load. Furthermore, the simulation results confirm acceptable THD and power factor performance of the proposed topology.
{"title":"High Efficiency GaN-based Non-isolated Electric Vehicle On-board Charger with Active Filtering","authors":"Alice Dong, Danial Sadeghpour, J. Bauman","doi":"10.1109/ITEC53557.2022.9813849","DOIUrl":"https://doi.org/10.1109/ITEC53557.2022.9813849","url":null,"abstract":"Electric vehicle (EV) on-board chargers (OBCs) should have high efficiency and high power density. Since the transformers in isolated OBCs generally lower both of these metrics, this paper proposes a novel non-isolated OBC with very high efficiency and a low component count. Active filtering is proposed to allow the use of smaller dc-link film capacitors to further improve power density. This paper discusses the design process for the dc-link capacitors and the operation of the active filtering control. Simulation results show that for level 2 charging, the proposed converter has a peak efficiency of 98.8% and efficiency of 98.6% at full 3.3 kW load. Furthermore, the simulation results confirm acceptable THD and power factor performance of the proposed topology.","PeriodicalId":275570,"journal":{"name":"2022 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115797720","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 : 2022-06-15DOI: 10.1109/ITEC53557.2022.9813858
Yu Cai, Jiacheng Xie, Gokcin Cinar, D. Mavris
Electrified aircraft propulsion concepts are rapidly emerging due to their huge potential in fuel saving and mitigating negative environmental impact. In order to perform a linear technology progression and fairly assess the impacts of powertrain electrification, it is important to first establish parametric state-of-the-art baseline vehicle models with advanced technologies matured by 2030. For a thin haul (19-passenger) turboprop size class and a regional turboprop (50-passenger) size class, a current state-of-the-art technology reference aircraft (TRA) is identified and modeled using a multi-disciplinary analysis and optimization environment. Viable technologies for airframe and conventional propulsion system are then identified which are expected to be available by 2030. These technologies are parametrically infused in the TRA models to create advanced technology aircraft models, which will serve as the baseline models for future studies of powertrain electrification.
{"title":"Advanced 2030 Turboprop Aircraft Modeling for the Electrified Powertrain Flight Demonstration Program","authors":"Yu Cai, Jiacheng Xie, Gokcin Cinar, D. Mavris","doi":"10.1109/ITEC53557.2022.9813858","DOIUrl":"https://doi.org/10.1109/ITEC53557.2022.9813858","url":null,"abstract":"Electrified aircraft propulsion concepts are rapidly emerging due to their huge potential in fuel saving and mitigating negative environmental impact. In order to perform a linear technology progression and fairly assess the impacts of powertrain electrification, it is important to first establish parametric state-of-the-art baseline vehicle models with advanced technologies matured by 2030. For a thin haul (19-passenger) turboprop size class and a regional turboprop (50-passenger) size class, a current state-of-the-art technology reference aircraft (TRA) is identified and modeled using a multi-disciplinary analysis and optimization environment. Viable technologies for airframe and conventional propulsion system are then identified which are expected to be available by 2030. These technologies are parametrically infused in the TRA models to create advanced technology aircraft models, which will serve as the baseline models for future studies of powertrain electrification.","PeriodicalId":275570,"journal":{"name":"2022 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123359066","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 : 2022-06-15DOI: 10.1109/ITEC53557.2022.9813780
T. Tallerico, Jeffryes W. Chapman, Andrew D. Smith
Electric and hybrid electric aircraft require high performance and reliable electric motor drivetrains. These drivetrains, consisting of a motor, an inverter, a gearbox, and a thermal management system, are highly coupled systems where the design of individual components in the drivetrain will significantly affect the sizing and performance of the other components in the system. In this paper, a preliminary co-optimization tool for electric motor drivetrains for Urban Air Mobility vehicles is presented. An example study with the tool is completed for NASA’s RVLT quadrotor concept vehicle.
{"title":"Preliminary Electric Motor Drivetrain Optimization Studies for Urban Air Mobility Vehicles","authors":"T. Tallerico, Jeffryes W. Chapman, Andrew D. Smith","doi":"10.1109/ITEC53557.2022.9813780","DOIUrl":"https://doi.org/10.1109/ITEC53557.2022.9813780","url":null,"abstract":"Electric and hybrid electric aircraft require high performance and reliable electric motor drivetrains. These drivetrains, consisting of a motor, an inverter, a gearbox, and a thermal management system, are highly coupled systems where the design of individual components in the drivetrain will significantly affect the sizing and performance of the other components in the system. In this paper, a preliminary co-optimization tool for electric motor drivetrains for Urban Air Mobility vehicles is presented. An example study with the tool is completed for NASA’s RVLT quadrotor concept vehicle.","PeriodicalId":275570,"journal":{"name":"2022 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123878612","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 : 2022-06-15DOI: 10.1109/ITEC53557.2022.9814032
Eduardo Louback, Fabricio A. Machado, Lucas Bruck, P. Kollmeyer, A. Emadi
Due to the electric machine torque bandwidth characteristic and good efficiency throughout its operational points, battery electric vehicles (BEVs) are typically equipped with a single-speed gearbox (SSG). Nevertheless, multi-speed gearboxes have been investigated for BEVs’ powertrain application as multiple gear ratios add the possibility of keeping the EM operating in a better efficiency region, thus reducing vehicle energy consumption and increasing dynamic performance. At the same time, driving simulators have gained momentum in industry and academia. Simulators render a faster, cheaper, and safer research and development process since it is possible to analyze the project at a system level before building prototypes. In addition, driving simulators allow the driver’s perception of gear shifting times, shift hunting, and vehicle jerk to be considered during the development phase. Combining the trends mentioned above in the automotive segment, we modeled single-and two-speed BEV models in MATLAB/Simulink. We performed a performance and driveability analysis in a static driving simulator. The preliminary results of adopting an efficiency-based shifting schedule and testing different gear shifting duration times indicate the importance of considering the vehicle’s dynamic behavior when employing multi-speed gearbox in BEVs.
{"title":"Real-Time Performance and Driveability Analysis of a Clutchless Multi-Speed Gearbox for Battery Electric Vehicle Applications","authors":"Eduardo Louback, Fabricio A. Machado, Lucas Bruck, P. Kollmeyer, A. Emadi","doi":"10.1109/ITEC53557.2022.9814032","DOIUrl":"https://doi.org/10.1109/ITEC53557.2022.9814032","url":null,"abstract":"Due to the electric machine torque bandwidth characteristic and good efficiency throughout its operational points, battery electric vehicles (BEVs) are typically equipped with a single-speed gearbox (SSG). Nevertheless, multi-speed gearboxes have been investigated for BEVs’ powertrain application as multiple gear ratios add the possibility of keeping the EM operating in a better efficiency region, thus reducing vehicle energy consumption and increasing dynamic performance. At the same time, driving simulators have gained momentum in industry and academia. Simulators render a faster, cheaper, and safer research and development process since it is possible to analyze the project at a system level before building prototypes. In addition, driving simulators allow the driver’s perception of gear shifting times, shift hunting, and vehicle jerk to be considered during the development phase. Combining the trends mentioned above in the automotive segment, we modeled single-and two-speed BEV models in MATLAB/Simulink. We performed a performance and driveability analysis in a static driving simulator. The preliminary results of adopting an efficiency-based shifting schedule and testing different gear shifting duration times indicate the importance of considering the vehicle’s dynamic behavior when employing multi-speed gearbox in BEVs.","PeriodicalId":275570,"journal":{"name":"2022 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124001234","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 : 2022-06-15DOI: 10.1109/ITEC53557.2022.9814019
Wenlin Zhang, R. Ahmed, S. Habibi
Accurate modelling of battery cells is crucial for the safety and longevity of the battery system. The equivalent-circuit battery model (ECM) is widely used because it provides good accuracy at a relatively low computational cost. The accuracy of an ECM depends primarily on the model parameters, which can be identified using optimization algorithms based on experimental data. This study investigates the effect of test profiles on the accuracy of the ECM by comparing (1) pulse tests of various lengths (2) two identification methods - direct optimization method and analytical method and (3) identification with pulse and drive cycle tests. The results suggest that optimization with an application-specific test profile (drive cycle tests for example) can provide the best accuracy. Parameters identified from the pulse test with short rests using the analytical method provided comparable accuracy, suggesting that the commonly used 30 to 120 minutes rest lengths may be unnecessary. Finally, to obtain a continuous relationship between the open-circuit voltage (OCV) and the cell’s state of charge (SOC), a polynomial is fitted to the OCV curve. Polynomials with orders from 5th to 21st are tested and it was found that 11th order polynomial provided a good compromise between the complexity and model accuracy.
{"title":"The Effects of Test Profile on Lithium-ion Battery Equivalent-Circuit Model Parameterization Accuracy","authors":"Wenlin Zhang, R. Ahmed, S. Habibi","doi":"10.1109/ITEC53557.2022.9814019","DOIUrl":"https://doi.org/10.1109/ITEC53557.2022.9814019","url":null,"abstract":"Accurate modelling of battery cells is crucial for the safety and longevity of the battery system. The equivalent-circuit battery model (ECM) is widely used because it provides good accuracy at a relatively low computational cost. The accuracy of an ECM depends primarily on the model parameters, which can be identified using optimization algorithms based on experimental data. This study investigates the effect of test profiles on the accuracy of the ECM by comparing (1) pulse tests of various lengths (2) two identification methods - direct optimization method and analytical method and (3) identification with pulse and drive cycle tests. The results suggest that optimization with an application-specific test profile (drive cycle tests for example) can provide the best accuracy. Parameters identified from the pulse test with short rests using the analytical method provided comparable accuracy, suggesting that the commonly used 30 to 120 minutes rest lengths may be unnecessary. Finally, to obtain a continuous relationship between the open-circuit voltage (OCV) and the cell’s state of charge (SOC), a polynomial is fitted to the OCV curve. Polynomials with orders from 5th to 21st are tested and it was found that 11th order polynomial provided a good compromise between the complexity and model accuracy.","PeriodicalId":275570,"journal":{"name":"2022 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126508679","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 : 2022-06-15DOI: 10.1109/ITEC53557.2022.9813876
Mina Naguib, Lucas Bruck, A. Emadi
Hybrid electric vehicles (HEVs) are equipped with a traditional internal combustion engine (ICE) and one or more electrical motors (EMs). HEV multi-mode power-split powertrain architecture improves fuel consumption, battery life, and vehicle emissions. However, this architecture is known for its control complexity due to the involvement of several modes of operation. Global optimal control strategies are commonly utilized as a benchmark in HEVs however they cannot be implemented on the electronic control unit (ECU) due to their extensive computational load. In this paper, a neural network (NN) -based energy management system (EMS) is proposed to control the mode and the power split of an HEV. Firstly, dynamic programming (DP), a global optimal control strategy, is utilized to achieve optimal fuel consumption using drive cycles at a wide range of conditions. Then, the proposed NN-based EMS is trained and tested using the data collected offline from the DP. The results show that the proposed NN-based EMS is able to predict the mode and power split of an HEV with only 2% higher than the optimal fuel consumption obtained by the DP.
{"title":"Neural Network-Based Online Energy Management for Multi-Mode Power Split Hybrid Vehicles","authors":"Mina Naguib, Lucas Bruck, A. Emadi","doi":"10.1109/ITEC53557.2022.9813876","DOIUrl":"https://doi.org/10.1109/ITEC53557.2022.9813876","url":null,"abstract":"Hybrid electric vehicles (HEVs) are equipped with a traditional internal combustion engine (ICE) and one or more electrical motors (EMs). HEV multi-mode power-split powertrain architecture improves fuel consumption, battery life, and vehicle emissions. However, this architecture is known for its control complexity due to the involvement of several modes of operation. Global optimal control strategies are commonly utilized as a benchmark in HEVs however they cannot be implemented on the electronic control unit (ECU) due to their extensive computational load. In this paper, a neural network (NN) -based energy management system (EMS) is proposed to control the mode and the power split of an HEV. Firstly, dynamic programming (DP), a global optimal control strategy, is utilized to achieve optimal fuel consumption using drive cycles at a wide range of conditions. Then, the proposed NN-based EMS is trained and tested using the data collected offline from the DP. The results show that the proposed NN-based EMS is able to predict the mode and power split of an HEV with only 2% higher than the optimal fuel consumption obtained by the DP.","PeriodicalId":275570,"journal":{"name":"2022 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128253617","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 : 2022-06-15DOI: 10.1109/ITEC53557.2022.9814048
Mingxuan Shi, M. Ozcan, Gokcin Cinar, Jonathan C. Gladin, D. Mavris
Under the NASA University Leadership Initiative (ULI) program, a team formed by multi-disciplinary universities are collaborating on the advancement of technologies of a hybrid turbo-electric regional jet which aims to enter service in the 2030 timeframe. The major focus is to mature currently available technologies on motor drives, power electronics, batteries, and the corresponding thermal management systems. The tasks presented in paper is designing and sizing the airframe and propulsion system, integrating the subsystems developed by other institutes to the aircraft, designing the global-level thermal management systems for the integrated motor drive and the battery, as well as conducting system-level and mission-level performance analysis. In this paper, the architectures of the aircraft, propulsion system, and the thermal management systems are firstly shown. Then the corresponding modeling and analysis methodologies are discussed. Finally, the results including the fuel economy and thermal management are presented, along with a transient analysis on the propulsion system.
{"title":"Finalized Design and Performance Analysis of a Hybrid Turbo-Electric Regional Jet for the NASA ULI Program","authors":"Mingxuan Shi, M. Ozcan, Gokcin Cinar, Jonathan C. Gladin, D. Mavris","doi":"10.1109/ITEC53557.2022.9814048","DOIUrl":"https://doi.org/10.1109/ITEC53557.2022.9814048","url":null,"abstract":"Under the NASA University Leadership Initiative (ULI) program, a team formed by multi-disciplinary universities are collaborating on the advancement of technologies of a hybrid turbo-electric regional jet which aims to enter service in the 2030 timeframe. The major focus is to mature currently available technologies on motor drives, power electronics, batteries, and the corresponding thermal management systems. The tasks presented in paper is designing and sizing the airframe and propulsion system, integrating the subsystems developed by other institutes to the aircraft, designing the global-level thermal management systems for the integrated motor drive and the battery, as well as conducting system-level and mission-level performance analysis. In this paper, the architectures of the aircraft, propulsion system, and the thermal management systems are firstly shown. Then the corresponding modeling and analysis methodologies are discussed. Finally, the results including the fuel economy and thermal management are presented, along with a transient analysis on the propulsion system.","PeriodicalId":275570,"journal":{"name":"2022 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128505901","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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