2017 IEEE Transportation Electrification Conference and Expo (ITEC)最新文献

Electric roads: Reducing the societal cost of automotive electrification 电动道路:降低汽车电气化的社会成本

2017 IEEE Transportation Electrification Conference and Expo (ITEC) Pub Date : 2017-07-26 DOI: 10.1109/ITEC.2017.7993367

P. Fyhr, Gabriel Domingues, M. Andersson, F. Márquez-Fernández, Hans Bängtsson, M. Alaküla

引用次数: 20

Scalable performance, efficiency and thermal models for electric drive components used in powertrain simulation and optimization 用于动力系统仿真和优化的可扩展性能、效率和热模型

2017 IEEE Transportation Electrification Conference and Expo (ITEC) Pub Date : 2017-07-26 DOI: 10.1109/ITEC.2017.7993345

Gabriel Domingues, F. Márquez-Fernández, P. Fyhr, A. Reinap, M. Andersson, M. Alaküla

引用次数: 12

State of health estimation of Li-ion batteries using Electrochemical Impedance Spectroscopy 电化学阻抗谱法评价锂离子电池的健康状况

2017 IEEE Transportation Electrification Conference and Expo (ITEC) Pub Date : 2017-06-22 DOI: 10.1109/ITEC.2017.7993255

Hassan Shabbir, W. Dunford, T. Shoa

{"title":"State of health estimation of Li-ion batteries using Electrochemical Impedance Spectroscopy","authors":"Hassan Shabbir, W. Dunford, T. Shoa","doi":"10.1109/ITEC.2017.7993255","DOIUrl":"https://doi.org/10.1109/ITEC.2017.7993255","url":null,"abstract":"Since, batteries have a limited lifetime, repeated charge and discharge cycles quickly deteriorate the electrochemical properties of a battery. With the reduced capacity and several other changes in the state of health of a battery, the electronic device under operation might malfunction. The failure of electronic device during the operation can cause serious repercussions to the users in certain applications. This research was aimed to provide upgrade on Electrochemical Impedance Spectroscopy (EIS) technology to decipher the electrolytic properties and electrochemical health of the battery. The focus of this research was to design a test bet to gather experimental data of EIS scans of batteries with varying State of Health. Based on the footprints of scans, a state of health classification algorithm was proposed which categorized batteries according to the corresponding health of the battery. Tests were performed on hardware prototype to validate the designed algorithm that showed State of Health estimation accuracy of almost 90%. The main contribution of this project to existing EIS technology is the eradication of the requirement of battery modeling and parameter estimations from Nyquist plot to find the state of health of a battery (the remaining capacity of the battery). The proposed method simplifies the computational algorithm and reduces the processing time for rapid battery tester.","PeriodicalId":228690,"journal":{"name":"2017 IEEE Transportation Electrification Conference and Expo (ITEC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131682910","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: 7

Sensitivity analysis of the battery model for model predictive control implemented into a plug-in hybrid electric vehicle 插电式混合动力汽车模型预测控制的电池模型灵敏度分析

2017 IEEE Transportation Electrification Conference and Expo (ITEC) Pub Date : 2017-06-22 DOI: 10.3390/WEVJ9040045

N. Sockeel, Jian Shi, Masood Shahverdi, M. Mazzola

引用次数: 16

A stochastic optimization technique for discrete DC capacitor bank design 离散直流电容器组设计的随机优化技术

2017 IEEE Transportation Electrification Conference and Expo (ITEC) Pub Date : 2017-06-22 DOI: 10.1109/ITEC.2017.7993239

Michael Eull, M. Preindl, A. Emadi

引用次数: 1

Battery state of charge estimation using an Artificial Neural Network 基于人工神经网络的电池充电状态估计

2017 IEEE Transportation Electrification Conference and Expo (ITEC) Pub Date : 2017-06-22 DOI: 10.1109/ITEC.2017.7993295

Mahmoud Ismail, Rioch Dlyma, A. Elrakaybi, R. Ahmed, S. Habibi

{"title":"Battery state of charge estimation using an Artificial Neural Network","authors":"Mahmoud Ismail, Rioch Dlyma, A. Elrakaybi, R. Ahmed, S. Habibi","doi":"10.1109/ITEC.2017.7993295","DOIUrl":"https://doi.org/10.1109/ITEC.2017.7993295","url":null,"abstract":"The automotive industry is currently experiencing a paradigm shift from conventional, diesel and gasoline-propelled vehicles into the second generation hybrid and electric vehicles. Since the battery pack represents the most important and expensive component in the electric vehicle powertrain, extensive monitoring and control is required. Therefore, extensive research is being conducted in the field of electric vehicle battery condition monitoring and control. In this paper, an Artificial Neural Network (ANN) is used for Lithium-Ion (Li-Ion) battery state-of-charge (SOC) estimation. When properly trained using the random current profile described in this paper, a single-layered Neural Network is capable of capturing the non-linear characteristics of a battery. The ANN is able to estimate a non-measurable parameter such as battery SOC level based on battery measurable parameters such as voltage and current. The ANN in this paper is trained using experimental data generated from an experimental battery using a R-RC model with SOC/OCV relationship. The SOC/OCV relationship was derived from a commercial 3.6V 3.4Ah Li-Ion battery cell. The network is trained using current, and voltage as inputs and SOC as the output. The trained network is tested using benchmark driving cycles to be capable of estimating the battery SOC with a relatively high degree of accuracy.","PeriodicalId":228690,"journal":{"name":"2017 IEEE Transportation Electrification Conference and Expo (ITEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115760524","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: 47

Algorithm for prediction and control of induction motor stator interturn faults in electric vehicles 电动汽车感应电机定子匝间故障预测与控制算法

2017 IEEE Transportation Electrification Conference and Expo (ITEC) Pub Date : 2017-06-22 DOI: 10.1109/ITEC.2017.7993259

A. Praneeth, S. Williamson

{"title":"Algorithm for prediction and control of induction motor stator interturn faults in electric vehicles","authors":"A. Praneeth, S. Williamson","doi":"10.1109/ITEC.2017.7993259","DOIUrl":"https://doi.org/10.1109/ITEC.2017.7993259","url":null,"abstract":"In an electric vehicle (EV) or hybrid electric vehicle (HEV) the control of motor drive under aberrant conditions plays a dominant role. One of it is the stator inter turn faults in the motor. It creates huge abnormality in the machine speed and torque pulsations which finally makes the operation of a drive to standstill. This paper mainly describes an algorithm to control the drive in fault-tolerant condition for a high-performance induction motor drive that propels an electrical vehicle (EV) or hybrid electric vehicle (HEV) in stable operation. The proposed algorithm is based on the predicting the severity levels of the faults and optimizing the switching pattern of field oriented control (FOC) of the drive. The main purpose of the algorithm is to avoid the complete shutdown of the vehicle during fault conditions. It mainly uses one of the motor current signature analysis (MCSA) methods in predicting the currents of the machine during the faults. The stator interturn fault is simulated in MATLAB under vehicle loaded conditions and uses the proposed algorithm to avoid standstill operations. The effects of the harmonic components in the machine during the unbalanced operation with the stator interturn fault is also presented.","PeriodicalId":228690,"journal":{"name":"2017 IEEE Transportation Electrification Conference and Expo (ITEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115781744","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

Efficiency enhancement of wireless charging for Electric vehicles through reduction of coil misalignment 减少线圈错位，提高电动汽车无线充电效率

2017 IEEE Transportation Electrification Conference and Expo (ITEC) Pub Date : 2017-06-22 DOI: 10.1109/ITEC.2017.7993241

Vatsala, Aqueel Ahmad, M. S. Alam, Rakan C. Chaban

引用次数: 28

High-performance large air-gap capacitive wireless power transfer system for electric vehicle charging 用于电动汽车充电的高性能大气隙电容式无线电力传输系统

2017 IEEE Transportation Electrification Conference and Expo (ITEC) Pub Date : 2017-06-22 DOI: 10.1109/ITEC.2017.7993344

Brandon Regensburger, Ashish Kumar, Sreyam Sinha, K. Doubleday, Saad Pervaiz, Z. Popovic, K. Afridi

{"title":"High-performance large air-gap capacitive wireless power transfer system for electric vehicle charging","authors":"Brandon Regensburger, Ashish Kumar, Sreyam Sinha, K. Doubleday, Saad Pervaiz, Z. Popovic, K. Afridi","doi":"10.1109/ITEC.2017.7993344","DOIUrl":"https://doi.org/10.1109/ITEC.2017.7993344","url":null,"abstract":"This paper introduces a high-performance large air-gap capacitive wireless power transfer (WPT) module as part of a multi-modular capacitive WPT system for electric vehicle charging. This WPT module utilizes two pairs of metal plates separated by an air-gap as the capacitive coupler, incorporates L-section matching networks to provide gain and reactive compensation, and is driven by a GaN-based inverter operating at 6.78 MHz. The system achieves high efficiency and simplicity by eliminating the need for high-voltage capacitors, and instead utilizes the parasitic capacitances formed between the coupling plates and the vehicle chassis and roadway as part of the matching networks. This paper also presents a comprehensive design methodology for the capacitive WPT system that guarantees high performance by ensuring zero-voltage switching of the inverter transistors, and by selecting matching network component values to maximize efficiency under practical constraints on inductor quality factor and self-resonant frequency. Two prototype 6.78-MHz 12-cm air-gap capacitive WPT systems have been designed, built and tested. The first prototype with 625 cm2 coupling plate area transfers up to 193 W of power and achieves an efficiency greater than 90%, with a power transfer density of 3 kW/m2. The second prototype with 300 cm2 coupling plate area transfers up to 557 W of power and achieves an efficiency of 82%, with a power transfer density of 18.5 kW/m2, which exceeds the state-of-the-art for capacitive WPT systems by more than a factor of four.","PeriodicalId":228690,"journal":{"name":"2017 IEEE Transportation Electrification Conference and Expo (ITEC)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126757251","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: 54

Measurements and analysis of battery harmonic currents in a commercial hybrid vehicle 商用混合动力汽车电池谐波电流的测量与分析

2017 IEEE Transportation Electrification Conference and Expo (ITEC) Pub Date : 2017-06-22 DOI: 10.1109/ITEC.2017.7993245

R. Soares, A. Bessman, O. Wallmark, G. Lindbergh, P. Svens

引用次数: 7