Qijun Deng, D. Czarkowski, Mariusz Bojarski, Jiangtao Liu
{"title":"Edge position detection of on-line vehicles with segmental wireless power supply","authors":"Qijun Deng, D. Czarkowski, Mariusz Bojarski, Jiangtao Liu","doi":"10.1109/IEVC.2014.7056195","DOIUrl":"https://doi.org/10.1109/IEVC.2014.7056195","url":null,"abstract":"On-line vehicles with segmental wireless power supply obtain energy from power tracks without physical contact while traveling. When a vehicle moves from one segmental track to another, the power supply coil should be switched accordingly. As the secondary coil fixed in the vehicle moves along the primary coil mounted in the segmental track, the mutual inductance of these two coils changes, which results in the varying of the phase angle that the current lags the voltage in the resonant circuit at the primary side. The paper proposes a method to decide the switching time through detecting the changing of the phase angle.","PeriodicalId":223794,"journal":{"name":"2014 IEEE International Electric Vehicle Conference (IEVC)","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122752304","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}
A. Bolovinou, I. Bakas, A. Amditis, F. Mastrandrea, Walter Vinciotti
{"title":"Online prediction of an electric vehicle remaining range based on regression analysis","authors":"A. Bolovinou, I. Bakas, A. Amditis, F. Mastrandrea, Walter Vinciotti","doi":"10.1109/IEVC.2014.7056167","DOIUrl":"https://doi.org/10.1109/IEVC.2014.7056167","url":null,"abstract":"Given the longitudinal average velocity and energy consumption of a Full Electric Vehicle (FEV) for any given part of a targeted road trip, this work solves the problem of online remaining range estimation, i.e., predicting, at any given travelled distance from the beginning of the trip, the actual distance the vehicle can still be driven before recharging is required. Modelling the remaining range is closely related with modelling the energy consumption of an electric vehicle. The latter remains an open problem due to unknown context data that may apply such as driving trip speed, vehicle load and topographical characteristics. In this work, a regression model is formulated in order to learn, from time/location-variant real driving data, a relationship between the future energy consumption on one side, and the following related factors, which are considered known, on the other side: i) the difference in average velocity between the future and the past ii) the difference in elevation rate between the future and the past and iii) the recent past energy consumption. Experimental results on around 2000km of discharge trips, demonstrate the effectiveness of the method over a conventional method that is based solely on historic energy usage evidence. An average Mean Absolute Error (MAE) of 1.64 km and of 1.95 km is obtained when the regression model is evaluated on a model trained without and with elevation respectively.","PeriodicalId":223794,"journal":{"name":"2014 IEEE International Electric Vehicle Conference (IEVC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122753593","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}
Gianluca Ritrovati, Giuseppe De Maso-Gentile, Cristiano Scavongelli, M. Conti
{"title":"Active role of a NFC enabled smartphone in EV-EVSE charging process","authors":"Gianluca Ritrovati, Giuseppe De Maso-Gentile, Cristiano Scavongelli, M. Conti","doi":"10.1109/IEVC.2014.7056164","DOIUrl":"https://doi.org/10.1109/IEVC.2014.7056164","url":null,"abstract":"Management of charge of electrical vehicles (EV) can be effectively integrated in a Vehicle To Grid (V2G) system. This regulated operation is described in the ISO/IEC 15118 standard. We propose a modification of the original protocol: in our scheme the smartphone has an active role in the EV - EVSE communication, being able to integrate itself in the EV charge. We developed an application for Android smartphone affords to the customer to completely control the process of charge in all its phases: authentication to the service, choice of the charge parameters, monitoring of the charge and payment. To obtain that, a modification to standard ISO/IEC 15118 is proposed. Actually, only the communication between vehicle (EV) and station (EVSE) is permitted. In our proposed model, the communication between vehicle, station and smartphone is realized in wireless mode through the Bluetooth protocol, introducing the active role of the smartphone. The App use NFC (Near Field Communication) technology, in order to simplify and to accelerate the Bluetooth login operation, V2G service authentication and related payment. Two specific PC-Windows software are developed, simulating the behaviors of the electrical vehicle (EV) and of the charge station (EVSE) according the standard. Moreover, a reusable NFC library has been developed to permit immediate authentication and two-ways transmission session, using Bluetooth and NFC in p2p mode.","PeriodicalId":223794,"journal":{"name":"2014 IEEE International Electric Vehicle Conference (IEVC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126465723","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}
P. Spanoudakis, N. Tsourveloudis, G. Koumartzakis, A. Krahtoudis, T. Karpouzis, I. Tsinaris
{"title":"Evaluation of a 2-speed transmission on electric vehicle's energy consumption","authors":"P. Spanoudakis, N. Tsourveloudis, G. Koumartzakis, A. Krahtoudis, T. Karpouzis, I. Tsinaris","doi":"10.1109/IEVC.2014.7056116","DOIUrl":"https://doi.org/10.1109/IEVC.2014.7056116","url":null,"abstract":"In order to explore the impact of transmission use on the energy/fuel consumption of zero emission vehicles, a 2-speed gearbox was developed and tested. The gearbox is installed on a hydrogen fuel cell powered urban vehicle, the ER14, a prototype designed by the TUC Eco Racing team at the Technical University of Crete. In this work the ER14 is used as a testbed vehicle so as to measure and evaluate fuel consumption with and without gear changing. Actual road tests were conducted and experimental results are presented, showing reduction of electric vehicle energy consumption with the use of the gearbox.","PeriodicalId":223794,"journal":{"name":"2014 IEEE International Electric Vehicle Conference (IEVC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125444556","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}
V. Calderaro, V. Galdi, G. Graber, G. Massa, A. Piccolo
{"title":"Plug-in EV charging impact on grid based on vehicles usage data","authors":"V. Calderaro, V. Galdi, G. Graber, G. Massa, A. Piccolo","doi":"10.1109/IEVC.2014.7056121","DOIUrl":"https://doi.org/10.1109/IEVC.2014.7056121","url":null,"abstract":"In the next future plug-in electric vehicles (PEVs) will emerge widely in city areas so that distribution grid will be largely impacted by simultaneous EVs charging events. Thus, in order to estimate the required power system upgrades and to develop optimal strategies for grid-to vehicle (G2V) and vehicle-to-grid (V2G) services management, it is fundamental to assess the grid impact of future PEV integration in real world scenarios. In this paper, we analyse parking data collected as part of a European project on sustainable mobility in order to evaluate the amount of vehicles coming to parking areas in each hour of the day and to identify common patterns during different time periods. Then, we carry out several Monte Carlo simulations taking into account the variable PEVs state of charge (SoC) and the incoming vehicles patterns. Simulation results allow us to estimate PEVs' daily charging power and energy required to the grid by vehicles in specific time periods, characterized by different parking areas occupancy. We show the effectiveness of the proposed analysis and the obtained results in the final section of the paper.","PeriodicalId":223794,"journal":{"name":"2014 IEEE International Electric Vehicle Conference (IEVC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121604146","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}
{"title":"Development of an electric vehicle as a framework for interdisciplinary problem based learning curriculums","authors":"A. Kuznietsov, Sergej Kovalev","doi":"10.1109/IEVC.2014.7056157","DOIUrl":"https://doi.org/10.1109/IEVC.2014.7056157","url":null,"abstract":"This paper presents a research project carried out at the University of applied Sciences, Mittelhessen. The main goal of the project was a development of an own electric vehicle made by students teams under supervision of university staff as well as a design of a learning platform for supporting existing courses in form of problem based learning (PBL) experiments.","PeriodicalId":223794,"journal":{"name":"2014 IEEE International Electric Vehicle Conference (IEVC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121825066","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}
S. Rahimi, K. Zhu, S. Massucco, F. Silvestro, D. Steen
{"title":"Using the advanced DMS functions to handle the impact of plug-in Electric vehicles on distribution networks","authors":"S. Rahimi, K. Zhu, S. Massucco, F. Silvestro, D. Steen","doi":"10.1109/IEVC.2014.7056127","DOIUrl":"https://doi.org/10.1109/IEVC.2014.7056127","url":null,"abstract":"Integration of Electric vehicles and their impact on power system have been a major topic within smart grid initiatives. It is proven that managing larger amount of loads in form of plug-in Electric vehicles (PEV) is a challenge for operation of low and medium voltage distribution network. The main objective of this paper is to discuss the usage of “Integrated Volt/Var Optimization” function (which is one of main advanced distribution management system (DMS) functions) for handling the larger share of PEV load and reducing their impact on operation of Distribution System (DS). For this purpose, we propose a method for evaluating the impact of PEV charging on steady state operating condition of DS and identifying its possible capacity limitations in case of significant penetration of PEVs. We have applied a stochastic modeling for base EV load and have examined several different scenarios based on charging power and penetration level of PEVs to compare uncontrolled charging with base operation conditions. By presenting the results from our developed Volt/Var Optimization (VVO) engine, it is concluded that DMS functions can support handling of these new operating conditions for DSOs. A real distribution network in south western part of Sweden is used as test system for this study while a set of realistic load profile has been created based on real driving pattern (using the results of national survey from Swedish traffic authority) and actual base load for one year. In this work, the VVO function have been implemented in General Algebraic Modeling System (GAMS) by using a single mixed integer linear programming (MILP) model for the volt-var problem. The results of optimization are system loss and voltage profile along the network in comparison with “base-case” solution.","PeriodicalId":223794,"journal":{"name":"2014 IEEE International Electric Vehicle Conference (IEVC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127018023","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}
{"title":"Impedance spectroscopy characterisation of automotive NMC/graphite Li-ion cells aged with realistic PHEV load profile","authors":"Ylva Olofsson, J. Groot, T. Katrašnik, G. Tavčar","doi":"10.1109/IEVC.2014.7056095","DOIUrl":"https://doi.org/10.1109/IEVC.2014.7056095","url":null,"abstract":"The ageing behaviour of Li-ion cells in automotive applications is known to be strongly non-linear with respect to operating conditions. In addition, it has a profound impact on performance, cost and reliability of the target vehicle. The work presented in this paper concerns automotive type NMC/graphite Li-ion battery cells aged under realistic and accelerated conditions, analyzed using electrochemical impedance spectroscopy and with the implementation of an electric equivalent circuit model. Two cycle life tests were performed at +22°C and +45°C surrounding temperature, with reference performance tests performed at ±0°C, +22°C and +45°C. The duty cycle applied is derived from speed samples of real-world city driving characteristics for electric passenger cars with fast charging at 2C-rate. Results show that despite a significant decrease in capacity, a decrease in charge transfer resistance can be observed during the first stages of aging which may be correlated to an increased double layer capacitance. Also, an increase in peak power at low temperatures is observed.","PeriodicalId":223794,"journal":{"name":"2014 IEEE International Electric Vehicle Conference (IEVC)","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122176786","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}
{"title":"Towards new infrastructure materials for on-the-road charging","authors":"Feng Chen, N. Kringos","doi":"10.1109/IEVC.2014.7056235","DOIUrl":"https://doi.org/10.1109/IEVC.2014.7056235","url":null,"abstract":"As a future-oriented industry, the electrified mobility has the potential to enhance the sustainability of our road transportation sector radically. With the aim to break the EV batteries' bottleneck (e.g., cost, range anxiety, long waiting time) by focusing not on the battery but on the solution to charge it conveniently, different on-the-road-charging solutions have been found under active investigation. From a road infrastructure perspective, however, little attention has been given to the practical, physical roads where these charging solutions will be enabled. In reality, good performance of E-Road infrastructure in aspects such as robustness, durability, costeffectiveness will be crucial for the final success. Taking the Inductive Power Transfer (IPT) charging solution in a dynamic way as a basis, this paper mainly discusses about the physical infrastructural aspect i.e. the road infrastructural materials and the changed construction and maintenance principles. The paper aims to give developers in this field more awareness of the necessity and potential cross-coupling benefits from interdisciplinary collaboration, by taking the road infrastructure research into the concept development of E-Roads.","PeriodicalId":223794,"journal":{"name":"2014 IEEE International Electric Vehicle Conference (IEVC)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125741441","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}
R. Roche, F. Berthold, Fei Gao, Fei Wang, A. Ravey, S. Williamson
{"title":"A model and strategy to improve smart home energy resilience during outages using vehicle-to-home","authors":"R. Roche, F. Berthold, Fei Gao, Fei Wang, A. Ravey, S. Williamson","doi":"10.1109/IEVC.2014.7056106","DOIUrl":"https://doi.org/10.1109/IEVC.2014.7056106","url":null,"abstract":"This paper describes a model and the impact analysis of an energy management strategy for the operation of plug-in electric vehicles and smart homes during power outages. It aims at improving the energy resilience of such homes by enabling the vehicle to provide power using vehicle-to-home technology. This strategy enables maintaining a minimum level of comfort during the outage, also by controlling the operation of selected loads and appliances. Simulation results for different cases show that the proposed strategy is capable of satisfying most basic electricity needs of a house during several hours, hence improving its resilience.","PeriodicalId":223794,"journal":{"name":"2014 IEEE International Electric Vehicle Conference (IEVC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128882958","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}