J. Guerrero, Antonio Parejo, Enrique Personal, S. García, Javier A. Guerra, C. León
{"title":"Recharging prioritization method for the integration of electric vehicle fleets with the Smart Grid: an evolutionary computation approach","authors":"J. Guerrero, Antonio Parejo, Enrique Personal, S. García, Javier A. Guerra, C. León","doi":"10.1109/EVER48776.2020.9242963","DOIUrl":"https://doi.org/10.1109/EVER48776.2020.9242963","url":null,"abstract":"The recent advances on electric vehicles are accelerating their expansion across the world. Their advantages from the ecological point of view are positioning them as the future transport method. Despite of all their advantages, the recharging of these vehicles will raise difficulties from the point of view of power system planning due to their high-power demand. They can cause high consumption peaks over the system if many of them are charged simultaneously. Therefore, this problem must be solved for not to stop the expansion of electric vehicles. In this sense, this paper proposes the use of evolutionary computation methods for the planning of vehicle recharging as part of a complete platform based on virtual power plants. In this way, the integration between fleets and the grid can be achieved, reducing the peak power requirements. Different algorithms are described and compared here, showing their performance and computational cost.","PeriodicalId":166751,"journal":{"name":"2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133982721","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}
Florian Bierwirth, J. Froeschl, J. Gebert, H. Herzog
{"title":"Approach for Predictive Diagnosis of Highly Available Automotive Energy Systems","authors":"Florian Bierwirth, J. Froeschl, J. Gebert, H. Herzog","doi":"10.1109/EVER48776.2020.9242945","DOIUrl":"https://doi.org/10.1109/EVER48776.2020.9242945","url":null,"abstract":"The safety and security requirements for electrical connection systems continue to rise in the context of semi- and highly-automated driving. In order to counteract occurring faults and to guarantee a reliable power supply, currently, two different approaches are distinguished: the implementation of redundancies and the selection of robust components. This paper presents an alternative approach to evaluate a vehicle energy path’s \"state of health\" and to predict the remaining useful life. With the presented procedure, the entire system’s availability can be increased by health monitoring of unmonitored supply paths and thus provides an alternative to the currently discussed cost-intensive security concepts.","PeriodicalId":166751,"journal":{"name":"2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130330805","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":"Research and Applications of Permanent Magnet Machines for Novel Railway Transportation Internal Combustion Power Packs","authors":"Caisong Yan, Youtong Fang, Q. Lu, Jien Ma","doi":"10.1109/EVER48776.2020.9242931","DOIUrl":"https://doi.org/10.1109/EVER48776.2020.9242931","url":null,"abstract":"In modern railway transportations, electric locomotives and electric multiple units(EMU) become increasingly popular due to the advantages of high efficiency, high speed, environment friendly, high reliability and low maintenance cost. However, electric locomotives and EMU require electric railways and the stable large capacity power supply. Thus, internal combustion (IC) locomotives and multiple units(MU)are still predominant in economically undeveloped countries and areas. Furthermore, considering electric line repair need for the electrified transportation and the national security and strategy, IC locomotives and MU are still promising in terms of market occupancy. Modern IC locomotives and MU use fuel oil to provide energy and are driven by electric traction, while the generator will generate electricity via diesel engine (diesel engine and the generator constructing the IC power pack). Electrically excited (EE) generators are adopted in conventional IC power packs. With the development of power electronics and control techniques, novel IC power packs with permanent magnet (PM) generators rise. Since PM generators have the merits of simple structure, high efficiency, small volume, low weight, high reliability and low maintenance cost, the next generation of IC power packs more and more adopt PM generators. This paper focuses on the PM generators used in novel railway transportation IC power packs. The comparison between conventional EE and PM generators, two rectification methods for PM generators and the research and applications of PM generators are discussed. All of these can provide the reference for novel IC power packs in railway transportation development and applications.","PeriodicalId":166751,"journal":{"name":"2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124288068","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}
Iván Sanz-Gorrachategui, P. Pastor-Flores, Alejandro Guillén-Asensio, J. S. Artal-Sevil, A. Bono-Nuez, B. Martín-del-Brío, C. Bernal-Ruíz
{"title":"Unsupervised clustering of battery waveforms in off-grid PV installations","authors":"Iván Sanz-Gorrachategui, P. Pastor-Flores, Alejandro Guillén-Asensio, J. S. Artal-Sevil, A. Bono-Nuez, B. Martín-del-Brío, C. Bernal-Ruíz","doi":"10.1109/EVER48776.2020.9242942","DOIUrl":"https://doi.org/10.1109/EVER48776.2020.9242942","url":null,"abstract":"This paper introduces a new methodology to classify data extracted from off-grid solar installations, based on the charge and discharge processes. Using data from a real installation, we propose to classify the daily behaviour of the energy harvesting according to characteristics extracted from the voltage and current curves of the installation. Five type situations have been established, in which the off-grid system charge can be summarized. This classification can help to better understand the state of the installations and classify the behaviour of the charging process to train more complex algorithms.","PeriodicalId":166751,"journal":{"name":"2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125244166","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}
Benedikt Hanke, Mirko Goletz, Christian Wachter, Meike Kühnel, Daniel Ehebrecht, F. Rinderknecht, Benedikt Nickel, B. Lenz, Deborah Tolk, K. Maydell, C. Agert
{"title":"Interdependence of charging infrastructure and battery demand of light electric 3-wheel motor taxis","authors":"Benedikt Hanke, Mirko Goletz, Christian Wachter, Meike Kühnel, Daniel Ehebrecht, F. Rinderknecht, Benedikt Nickel, B. Lenz, Deborah Tolk, K. Maydell, C. Agert","doi":"10.1109/EVER48776.2020.9242976","DOIUrl":"https://doi.org/10.1109/EVER48776.2020.9242976","url":null,"abstract":"The paper analyses the role of publicly accessible single phase charging infrastructure with charging currents of 7 A, 10 A and 16 A in the low voltage grid for an economically viable transformation of the informal transport market of three-wheeler motorcycles in Dar es Salaam from fossil propulsion to battery electric drives. An intensive stakeholder process is conducted to analyse the socioeconomic boundary conditions for this transformation. GPS track data of 65 vehicles in four driver groups is collected for 8 days apiece. The data is analysed to study the driving demand of the informal transport market in Dar es Salaam.Our results show that the increased weight of lead acid batteries cannot be easily compensated for by installing additional charging opportunities. Coincidence factor analysis reveals, that sharing of opportunity charging infrastructure is possible without reduction of the service level. Li-ion batteries plus publically accessible charging infrastructure shows the potential for the transformation within the next 10-15 years.","PeriodicalId":166751,"journal":{"name":"2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132324287","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}
N. Soltau, E. Wiesner, E. Stumpf, S. Idaka, K. Hatori
{"title":"Electric-Energy Savings using 3.3 kV Full-SiC Power-Modules in Traction Applications","authors":"N. Soltau, E. Wiesner, E. Stumpf, S. Idaka, K. Hatori","doi":"10.1109/EVER48776.2020.9242996","DOIUrl":"https://doi.org/10.1109/EVER48776.2020.9242996","url":null,"abstract":"This work discusses the benefits of a 3.3 kV Full-SiC power module in a commuter-train traction inverter. The focus is on the electric-energy savings. Firstly, a representative electric load profile for a commuter train is derived. It is based on a typical commuter-train drive cycling and realistic operating conditions of the electrical drive. Based on this load profile, the electric-energy loss in the traction inverter is evaluated for a state-of-the-art silicon IGBT module and a SiC MOSFET module. For a fair comparison, both modules utilize the same package dimensions and have similar current ratings. The SiC module saves 59 % of the electric-energy loss. Finally, this is related to the monetary savings, utilizing historical and present electricity prices for German industry and railway.","PeriodicalId":166751,"journal":{"name":"2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117308840","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":"EVER 2020 Committees","authors":"","doi":"10.1109/ever48776.2020.9243008","DOIUrl":"https://doi.org/10.1109/ever48776.2020.9243008","url":null,"abstract":"","PeriodicalId":166751,"journal":{"name":"2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123440561","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}
M. Caruso, A. Tommaso, R. Miceli, C. Nevoloso, G. Vassallo
{"title":"Experimental Implementation of an Enhanced Field Oriented Control Strategy for Induction Motors Using a Low-Cost ATSAM3X8E Microcontroller","authors":"M. Caruso, A. Tommaso, R. Miceli, C. Nevoloso, G. Vassallo","doi":"10.1109/EVER48776.2020.9243141","DOIUrl":"https://doi.org/10.1109/EVER48776.2020.9243141","url":null,"abstract":"This paper presents a low-cost Micro Controller Unit (MCU) implementation of an enhanced Field Oriented Control (FOC) technique that takes into account the non-linearity of the ferromagnetic material. The algorithm is applied to a three-phase 5.5 kW Induction Motor (IM) and experimentally carried out by means of an ATMEL ATSAM3X8E microcontroller. The effectiveness of the enhanced control strategy is verified by comparing the dynamic performances of the electric drive with those obtained by means of a traditional FOC technique. For this purpose, an experimental test bench is set up for the implementation of the enhanced FOC technique. Finally, the technical and economic features of the simple and flexible implementation by means of the proposed microcontroller are discussed and compared with traditional ones, demonstrating the fact that the adopted system can be successfully adopted for high-performance electric drive applications.","PeriodicalId":166751,"journal":{"name":"2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123915545","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}
Konstantin Riedl, Simon Huber, Maximilian Bömer, Julian Kreibich, Felix Nobis, Johannes Betz
{"title":"Importance of Contextual Information for the Detection of Road Damages","authors":"Konstantin Riedl, Simon Huber, Maximilian Bömer, Julian Kreibich, Felix Nobis, Johannes Betz","doi":"10.1109/EVER48776.2020.9242954","DOIUrl":"https://doi.org/10.1109/EVER48776.2020.9242954","url":null,"abstract":"In this paper we give an overview on methods for the optical detection of road surface damages and analyze the importance of contextual information. The objective is to improve the optical detection of road damages, especially potholes, based on images from windscreen mounted monocular cameras, as well as to reduce the complexity and thus save computing capacity. In order to achieve this, parts of the image that are not classified as road are preprocessed. Thus two different parts were implemented and analyzed: (i) a semantic segmentation for classifying the contextual information and (ii) a pothole detection.First, different semantic segmentation networks are compared by varying the training dataset and the number of predicted classes to find a trade-off between accuracy and the level of detail of the provided information. In the second step, this segmentation into road and other is used to evaluate the importance of the contextual information in the detection part. The detection accuracy is compared using varying input datasets by hiding and adjusting the non road parts. From the state of the art it can be derived that the elimination of contextual information reduces the complexity for the detection of road surface damages like potholes especially for computer vision (CV) based approaches. In addition, our results show that deep learning (DL) approaches need at least a simplified contextual information.","PeriodicalId":166751,"journal":{"name":"2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124104435","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}