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Selected Papers from "International Symposium on Advanced Electrical and Communication Technologies" ISAECT 18

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: closed (31 January 2019) | Viewed by 4906

Special Issue Editors


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Guest Editor
National school of engineering of gabes, Omar Ibn Khattab Street, 6029 Gabes, Tunis
Interests: electrical engineering; control and optimization; power management; smart grid; renewble energy; electrical vehicle

E-Mail Website
Guest Editor
National school of engineering of gabes, Omar Ibn Khattab Street, 6029 Gabes, Tunis
Interests: renewable energies; control; power systems; robustness; power management; smart grid; inverters

Special Issue Information

Dear Colleagues,

The International Symposium on Advanced Electrical and Communication Technologies (ISAECT 18), provides an international technical forum for professional engineers, scientists, academics, and researchers over the world to present their latest research results and developments in the fields of electrical engineering, communication technologies and smart systems, to exchange and share their experiences, and explore collaborative projects in these fields. This event will run for three days and will be accompanied by several keynote speeches by distinguished international speakers, panel sessions, technical papers reviewed by peers, workshops and tutorials presented by leading experts, exhibits, awards ceremony; relaxing and entertaining banquet, and social events. The symposium will focus on the theoretical and practical aspects related to the advanced communication, information and electrical technologies.

Papers on any of the related themes, related to energies are invited.

Prof. Dr. Aymen Flah
Prof. Dr. Sbita Lassaad
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Power management
  • Intelligent systems
  • Optimization
  • Control
  • Hybrid systems

Published Papers (1 paper)

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Research

22 pages, 5909 KiB  
Article
A Novel Energy Optimization Approach for Electrical Vehicles in a Smart City
by Flah Aymen and Chokri Mahmoudi
Energies 2019, 12(5), 929; https://doi.org/10.3390/en12050929 - 10 Mar 2019
Cited by 45 | Viewed by 4493
Abstract
Electric Vehicles (EVs) have emerged rapidly across the globe as a powerful eco-friendly initiative that if integrated well with an urban environment could be iconic for the host city’s commitment to sustainable mobility and be a key ingredient of the smart city concept. [...] Read more.
Electric Vehicles (EVs) have emerged rapidly across the globe as a powerful eco-friendly initiative that if integrated well with an urban environment could be iconic for the host city’s commitment to sustainable mobility and be a key ingredient of the smart city concept. This paper examines ways that will help us to develop a better understanding of how EVs can achieve energy use optimization and be connected with a smart city. As a whole, the present study is based on an original idea that would be useful in informing policy-makers, automotive manufacturers and transport operators of how to improve and embrace better EV technologies in the context of smart cities. The proposed approach is based on vehicles’ and buildings’ communication to share some special information related to the vehicles’ status and to the road conditions. EVs can share their own information related to their energy consumption experience on a specific path. This information can be gathered in a gigantic database and used for managing the power inside these vehicles. In this field, this paper exposes a new approach to power management inside an electric vehicle based on two-way communication between vehicles and buildings. The principle of this method is established in two sections; the first one is related to vehicles’ classification and the second one is attached to the buildings’ recommendations, according to the car position. The classification problem is resolved using the support vector classification method. The recommendation phase is resolved using the artificial intelligence principle and a neural network was employed to give the best decision. The optimal decision will be calculated inside the building, according to its position and using the old vehicle’s data, and transferred to the coming vehicle, for optimizing its energy consumption method in the corresponding building zone. Different possibilities and situations in this approach were discussed. The proposed power management methodology was tested and validated using Simulink/Matlab tool. Results related to the battery state of charge and to the consumed energy were compared at the end of this work, to show the efficiency of this approach. Full article
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