2023 IEEE Transportation Electrification Conference & Expo (ITEC)最新文献_第9页

Design of a Modular E-Axle for All-Terrain Heavy-Duty Applications Considering Gradient Weight Transfer 考虑梯度重量传递的全地形重型电动桥模块化设计

2023 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2023-06-21 DOI: 10.1109/ITEC55900.2023.10187011

Conor Healy, J. Hayes

{"title":"Design of a Modular E-Axle for All-Terrain Heavy-Duty Applications Considering Gradient Weight Transfer","authors":"Conor Healy, J. Hayes","doi":"10.1109/ITEC55900.2023.10187011","DOIUrl":"https://doi.org/10.1109/ITEC55900.2023.10187011","url":null,"abstract":"This digest summarizes the design of a 9-tonne modular e-axle for all-terrain heavy-duty vehicles. A novel method based on axle loading and gradient weight transfer is proposed for the powertrain sizing. The e-axle is designed for 4×4, 6×6 and 8×8 vehicle configurations. The e-axle maintains compatibility with an existing independent suspension system, and is suitable for use in multiple sectors, including construction vehicles, forest machinery, fire trucks and highway vehicles. A parallel in-front-of-differential topology with one motor per axle is chosen as the optimum topology. The e-axle can be used in series-hybrid, battery electric and hydrogen fuel cell powertrains. A 27-tonne 6×6 vehicle is used as a case study to determine the e-axle's tractive effort requirements for one of the possible vehicle applications. Weight transfer while climbing is considered, and the worst-case axle loading/operating conditions are used for sizing the powertrain. The on-road and off-road performance of the hybrid 6×6 vehicle is evaluated. A three-speed transmission is required to meet the vehicle performance requirements.","PeriodicalId":234784,"journal":{"name":"2023 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123084706","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}

引用次数: 0

Lithium-ion Battery State-of-Health Estimation via Histogram Data, Principal Component Analysis, and Machine Learning 基于直方图数据、主成分分析和机器学习的锂离子电池健康状态评估

2023 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2023-06-21 DOI: 10.1109/ITEC55900.2023.10187012

Junran Chen, P. Kollmeyer, Fei Chiang, A. Emadi

{"title":"Lithium-ion Battery State-of-Health Estimation via Histogram Data, Principal Component Analysis, and Machine Learning","authors":"Junran Chen, P. Kollmeyer, Fei Chiang, A. Emadi","doi":"10.1109/ITEC55900.2023.10187012","DOIUrl":"https://doi.org/10.1109/ITEC55900.2023.10187012","url":null,"abstract":"Lithium-ion batteries are widely used in electric vehicle powertrain systems. As batteries age, their state of health (SOH), indicated by their usable capacity and power capability, decreases. For reliable battery operation, accurate estimation and prediction of SOH are essential. This paper proposes an algorithm for estimating battery capacity SOH from an open-source fast charging dataset with many different charge profile types. Histogram data is created from the measured time domain data and fed into a feedforward neural network (FNN). To capture the impact of different charge profiles on aging, current and state of charge (SOC) are multiplied together to create an additional synthetic input to the estimator. To reduce the number of inputs to the FNN to only those that contain valuable information, we use principal component analysis to reduce the total number of inputs by 80%. An SOH algorithm is proposed that can estimate capacity throughout the battery's life with a 1.03% root mean square percentage error (RMSPE) and 0.68% mean absolute percentage error (MAPE).","PeriodicalId":234784,"journal":{"name":"2023 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"88 5-6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120893092","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}

引用次数: 0

Systematic Design Approach for Airgap-less Hybrid Integrated Coupled Inductor for Interleaved Paralleled Inverters using Finite Element Analysis 交错并联逆变器无气隙混合集成耦合电感的有限元系统设计方法

2023 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2023-06-21 DOI: 10.1109/ITEC55900.2023.10187041

M. Abarzadeh, H. Mosaddegh, M. A. Khoshhava, Mohammbad Babaie, Simon Caron, K. Al-haddad

{"title":"Systematic Design Approach for Airgap-less Hybrid Integrated Coupled Inductor for Interleaved Paralleled Inverters using Finite Element Analysis","authors":"M. Abarzadeh, H. Mosaddegh, M. A. Khoshhava, Mohammbad Babaie, Simon Caron, K. Al-haddad","doi":"10.1109/ITEC55900.2023.10187041","DOIUrl":"https://doi.org/10.1109/ITEC55900.2023.10187041","url":null,"abstract":"In this paper, a finite element analysis (FEA)-based systematic design approach is proposed for the integrated coupled inductor (CI) with airgap-less hybrid core for interleaved paralleled inverters. Utilizing the proposed hybrid core comprising two different types of magnetic materials without airgap in the integrated CI leads to integration of differential mode (DM) leg inductor to the CI which results in significant increase in power density and efficiency of the interleaved paralleled inverter. Moreover, the fringing effect due to the presence of airgap in CI is eliminated in the proposed airgap-less hybrid CI. The hybrid CI is designed in a way that the required mutual inductance for the CI and the required leakage inductance for the DM inductor can be obtained simultaneously. A three-phase inverter comprising two interleaved paralleled legs connected to the proposed airgap-less hybrid CI in each phase is simulated in Ansys Maxwell, Simplorer, and Icepak FEA platforms. The provided FEA results verify the performance of the proposed airgap-less hybrid CI as well as efficacy of the proposed design approach.","PeriodicalId":234784,"journal":{"name":"2023 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132526070","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}

引用次数: 0

Design of a Switched Reluctance Motor for a 48 V Hybrid Electric Vehicle Propulsion Application 用于48v混合动力汽车推进的开关磁阻电机设计

2023 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2023-06-21 DOI: 10.1109/ITEC55900.2023.10186970

Aniruddha Agrawal, Sreejith Chakkalakkal, B. Bilgin

引用次数: 0

A Novel Energy Management Strategy Considering Internal Loss and Hydrogen Consumption for Fuel Cell UAV 考虑内部损耗和氢消耗的新型燃料电池无人机能量管理策略

2023 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2023-06-21 DOI: 10.1109/ITEC55900.2023.10186984

H. Sun, Rui Ma, Jian Song, Congcong Wang, Xiaoyue Chai, Zhi Feng

引用次数: 0

Fuel consumption analysis tool based on hybrid electric vehicle models 基于混合动力汽车模型的油耗分析工具

2023 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2023-06-21 DOI: 10.1109/ITEC55900.2023.10187119

E. Otaola, Benat Arteta, Joshué Pérez, A. Sierra-González, P. Prieto

{"title":"Fuel consumption analysis tool based on hybrid electric vehicle models","authors":"E. Otaola, Benat Arteta, Joshué Pérez, A. Sierra-González, P. Prieto","doi":"10.1109/ITEC55900.2023.10187119","DOIUrl":"https://doi.org/10.1109/ITEC55900.2023.10187119","url":null,"abstract":"The reduction of fuel consumption and Greenhouse Gases is of key importance during the last decades. Heavy-duty vehicles have been extensively researched due to the significant pollution produced. This work presents a novel simulation platform for different heavy-duty powertrain topologies: mainly combustion and parallel hybrid. This work was developed in the framework of a LONGRUN project, where a platform was implemented based on forward-looking formulation. This allows the assessment of hybrid control systems development, analysing the impact of the hybrid and electric topologies. We compared the results with a commercial tool (VECTO) adopted by the European Commission to validate the platform components over combustion powertrain analysis. In this paper, we provide a modular platform for heavy-duty vehicles, in a widely used software inside the automotive industry. Moreover, our tool has the possibility to implement hybrid electric vehicles powertrain topologies for the assessment of their control strategies and the analysis of fuel consumption and Greenhouse Gases emissions. The results show proposing results in terms of performance of the model used and fuel saving.","PeriodicalId":234784,"journal":{"name":"2023 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116825858","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}

引用次数: 0

A Robust System Monitoring and Control for Battery Energy Storage Systems in Electric Vehicle Charging 电动汽车充电电池储能系统的鲁棒监测与控制

2023 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2023-06-21 DOI: 10.1109/ITEC55900.2023.10186918

Yukun Lou, Alireza Ramyar, Xiaofan Cui, Jason B. Siegel, A. Stefanopoulou, A. Avestruz

引用次数: 0

Optimization of Powertrain Platform for Electric Passenger Vehicles 电动乘用车动力总成平台优化

2023 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2023-06-21 DOI: 10.1109/ITEC55900.2023.10187120

Meng Lu, Gabriel Domingues-Olavarría, Hannes Bydén, Mateski Aleksandar, M. Alaküla

引用次数: 0

Structural Design Evaluation of Integrated Rotor Hub and Shaft for a High-Speed Surface Mounted Radial Flux Permanent Magnet Synchronous Motor 高速面贴式径向磁通永磁同步电动机转子轮轴一体化结构设计评价

2023 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2023-06-21 DOI: 10.1109/ITEC55900.2023.10186954

Akshay Manikandan, Mohamed Abdalmagid, G. Pietrini, Mikhail Goykhman, A. Emadi

{"title":"Structural Design Evaluation of Integrated Rotor Hub and Shaft for a High-Speed Surface Mounted Radial Flux Permanent Magnet Synchronous Motor","authors":"Akshay Manikandan, Mohamed Abdalmagid, G. Pietrini, Mikhail Goykhman, A. Emadi","doi":"10.1109/ITEC55900.2023.10186954","DOIUrl":"https://doi.org/10.1109/ITEC55900.2023.10186954","url":null,"abstract":"Increasing the reliability and power density of a surface-mounted permanent magnet synchronous machine (SPMSM) is crucial due to the broader applications in the automotive and aerospace sectors. Concerns with such machines are that the overall rotating assembly experiences significant mechanical loads due to the rapid rotational speeds, making it exceptionally challenging to design the structural integrity of these components. This study's main objective is to offer a scientific justification for designing an integrated rotor hub and shaft through efficient Finite Element Modeling (FEM) and integration strategies to maximize the rotating assembly durability of a 150kW radial flux SPMSM spinning at 20,000 rpm. The optimization of integrated topology is evaluated based on a multiphysics platform, along with studies conducted on motor assembly eigen frequency. The integrated approach combining the shaft and rotor hub made of AISI 4340 solely saves 1.84kg, removing the necessity of standard components such as balancing end clamp plates, locknuts, and washers. Lower masses are proportional to lower centrifugal forces, reducing radial stress and promoting component/assembly stiffness.","PeriodicalId":234784,"journal":{"name":"2023 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115050062","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}

引用次数: 0

Frequency Regulation Reserves Provision in EV Smart-Charging 电动汽车智能充电中的频率调节储备供给

2023 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2023-06-21 DOI: 10.1109/ITEC55900.2023.10187114

Nikolaos Damianakis, Yunhe Yu, G. C. Mouli, P. Bauer

引用次数: 0