2021 IEEE Transportation Electrification Conference & Expo (ITEC)最新文献_第10页

High Efficiency Bidirectional LLC Converter for Solar-Charged Electric Vehicles 用于太阳能充电电动汽车的高效双向LLC变换器

2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490144

Pengfei Zheng, J. Bauman

引用次数: 3

Energy Consumption Uncertainty Model For Battery-Electric Buses in Transit 纯电动公交车在运能量消耗不确定性模型

2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490103

Hatem Abdelaty, M. Mohamed

引用次数: 3

Cost analysis in different battery pack architectures considering protection, monitoring, and diagnostics 考虑保护、监控和诊断的不同电池组架构的成本分析

2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490170

Y. Cheng, Francesco Porpora, M. D’Arpino, G. Rizzoni

{"title":"Cost analysis in different battery pack architectures considering protection, monitoring, and diagnostics","authors":"Y. Cheng, Francesco Porpora, M. D’Arpino, G. Rizzoni","doi":"10.1109/ITEC51675.2021.9490170","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490170","url":null,"abstract":"The automotive, aerospace, and electric power systems industry make increasing use of complex energy storage systems that are comprised of large number of cells connected in various electrical configurations. After defining the cell technology and size in terms of voltage and capacity, the objective of the battery pack design includes the definition of cell arrangement, sensing topology and position, fault diagnostic capability, cooling system, and electronic hardware. These design parameters may change with different battery pack architectures. On the premise of ensuring the availability and reliability of a battery system, minimizing the cost is also one of the important design missions. This paper analyzes the property of different battery pack architectures and studies the current distribution among the cells due to parameter variation, which determines the types, amount and unit cost of devices needed for the purpose of protection, monitoring and diagnostics. Finally, a comparative cost analysis of devices between different battery pack architectures as the size of the battery pack varies is presented.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"6 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":"132683515","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: 4

Design and Analysis of Stator Cooling Channels for an Axial-Flux Permanent Magnet Machine 轴向磁通永磁电机定子冷却通道设计与分析

2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490083

Samantha Jones-Jackson, R. Rodriguez, Ehab Sayed, C. Goldstein, Christopher Mak, A. Callegaro, Mikhail Goykhman, A. Emadi

引用次数: 3

A Non-isolated Onboard Charger for Electric Vehicle 一种电动汽车非隔离车载充电器

2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490193

Utsav Sharma, Bhim Singh

引用次数: 2

Parasitic Parameter Analysis of High Frequency Transformer for Series Resonant Converter with Experimental Validation 串联谐振变换器高频变压器寄生参数分析及实验验证

2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490135

Temitayo O. Olowu, H. Jafari, Italo Peirano, Maryam Mahmoudi, A. Sarwat

{"title":"Parasitic Parameter Analysis of High Frequency Transformer for Series Resonant Converter with Experimental Validation","authors":"Temitayo O. Olowu, H. Jafari, Italo Peirano, Maryam Mahmoudi, A. Sarwat","doi":"10.1109/ITEC51675.2021.9490135","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490135","url":null,"abstract":"High frequency transformers provide galvanic isolation between the primary and secondary sides of power electronic converters. The parasitic parameters of the HFT affects the converter control parameters especially its resonant frequency (for resonant converters). Most HFT design and optimization methods in literature often ignore the parasitic capacitance during optimization. This paper investigates the impact of the parasitic capacitance and the electromagnetic parameters of two already optimally designed 20kW, 10kHz, 208/208V HFTs (with different design parameters and power densities) used in a DC-DC series resonant converter. An FEA-based simulation of the electrostatic and electromagnetic parameters of the HFTs and experimental measurements are presented. The effects of the parasitic capacitance on series resonant converter's resonant frequency is investigated. The simulation and experimental results show that for series resonant converters, the parasitic capacitance severely affects their resonant frequency values. This effect need to be taken into account during the design and optimization of the HFTs.","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":"122434550","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: 1

Position Sensor Harmonics Influence on Highly Integrated Field Oriented Controlled PMSM Drive Torque Output 位置传感器谐波对高集成度磁场定向控制PMSM驱动转矩输出的影响

2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490171

S. Kuruppu

引用次数: 3

Fault-Tolerant Control of Three-Phase Bidirectional Current-Fed Dual Active Bridge DC-DC Converter 三相双向电流馈电双有源桥式DC-DC变换器的容错控制

2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490140

T. Le, Minh‐Khai Nguyen, Caisheng Wang, Sewan Choi

{"title":"Fault-Tolerant Control of Three-Phase Bidirectional Current-Fed Dual Active Bridge DC-DC Converter","authors":"T. Le, Minh‐Khai Nguyen, Caisheng Wang, Sewan Choi","doi":"10.1109/ITEC51675.2021.9490140","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490140","url":null,"abstract":"Fault-tolerant methods have been recognized for improving the reliability of multi-phase bidirectional DC-DC converters, including current-fed and voltage-fed dual active bridge converters. Fault-tolerant research for voltage-fed dual active bridge converters has caught much attention recently. However, few fault-tolerant methods for current-fed dual active bridge (CF-DAB) converter have been developed because it becomes more challenging due to the asymmetrical structure between primary and secondary sides. In this paper, a new fault-tolerant CF-DAB converter with blocking capacitors is proposed. The operation of the converter when an open-circuit fault occurs in different fault scenarios of the CF-DAB converter is comprehensively analyzed. A frozen phase fault-tolerant method with additional blocking capacitors on both sides of the transformer is proposed. The aim of the use of blocking capacitors is to block the DC current component of the filter inductor from passing through the transformer, which could otherwise result in the saturation of the transformer. Also, the DC blocking capacitors help isolate the faulty phase when the frozen-phase fault-tolerant method is applied.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"18 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":"124726273","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: 3

Control Strategy of Electric Propulsion System to Improve Ship Dynamics 改善船舶动力的电力推进系统控制策略

2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490151

Sanggi Ko, Jong-Seop Yun, S. Sul, Shin-Won Kang, W. Park, Sanghoon Kim

引用次数: 0

Probabilistic Electric Vehicle Charging Demand Forecast Based on Deep Learning and Machine Theory of Mind 基于深度学习和机器心智理论的电动汽车充电需求概率预测

2021 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2021-06-21 DOI: 10.1109/ITEC51675.2021.9490147

Tianyu Hu, Kailong Liu, Huimin Ma

{"title":"Probabilistic Electric Vehicle Charging Demand Forecast Based on Deep Learning and Machine Theory of Mind","authors":"Tianyu Hu, Kailong Liu, Huimin Ma","doi":"10.1109/ITEC51675.2021.9490147","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490147","url":null,"abstract":"Electric Vehicles (EVs) and corresponding charging stations have been widely popularized, increasing the power grid's operational risk and pressure, especially for the distribution network. Accurate EV charging demand forecast can potentially benefit the market through real-time robust scheduling. This paper proposes a deep-learning-based method for short-term probabilistic EV charging demand prognostics, which forecasts the quantiles of future charging demand of a charging station 5 minutes ahead. Plug-in EVs' charging behavior mainly depends on two crucial factors: (1) the user's living habits, which usually take a week as a cycle and can be extracted from the historical charging behaviors; (2) The user's stochastic behavior at the current timestamp, reflecting the short-term trend of charging demand variation, which is the difficulty of the short-term charging demand forecast. The proposed model has taken both the above historical charging habits (regularities) and the current trend of charging demand variation into consideration based on the paradigm of the Machine Theory of Mind (MToM), and two case studies on real EV charging demand datasets have verified its superiority over state-of-the-arts.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"26 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":"126188714","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: 9