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Sci
Special Issues
Electric Vehicles
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Electric Vehicles

A special issue of Sci (ISSN 2413-4155).

Deadline for manuscript submissions: closed (30 April 2019) | Viewed by 6239

Special Issue Editor

Prof. Dr. Luis M. Fernández-Ramírez

E-Mail Website
Guest Editor
Research Group in Sustainable and Renewable Electrical Technologies (PAIDI-TEP023), Department of Electrical Engineering, Higher Technical School of Engineering of Algeciras, University of Cadiz, Algeciras, Spain
Interests: smart cities; smart grids; microgrids; renewable energy; wind energy; photovoltaic solar energy; energy storage systems; hydrogen and fuel cells; hybrid electric systems; electric vehicles; electric power systems; power converters and energy management/control systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Electric vehicles (EVs) are a promising technology for achieving a sustainable transport sector in the future, due to their very low to zero carbon emissions, low noise, high efficiency, and flexibility in grid operation and integration (vehicle-to-grid, V2G; vehicle-to-home, V2H; grid-to-vehicle, G2V). In recent years, full EVs (FEVs), plug-in hybrid electric vehicles (PHEVs) and fuel cell vehicles (FCVs) have gained a great deal of popularity thanks to advances in technology (components, hybrid energy systems, energy storage systems, power converters, control techniques, energy management systems and charging systems), which have made it possible to develop and market electric bicycles, motorcycles, cars, buses and tramways. 

This Special Issue is focused on the recent advances in EVs, and includes, but is not limited, to the following topics:

  • Optimized design of EVs
  • Propulsion systems for EVs
  • Hybrid energy systems for EVs
  • Energy storage systems for EVs
  • Charging stations/systems for EVs: wired charging systems, wireless power transfer systems
  • Applications: bicycles, motorcycles, cars, buses, trains, tramways
  • Operation of EVs in smart grids/smart homes: Vehicle-to-grid (V2G), vehicle-to-home (V2H), grid-to-vehicle (G2V)
  • Integration of EVs in smart grids/smart homes and impacts on grid
  • Power electronics
  • Advanced control techniques/energy management systems
  • State-of-the-art reviews on EVs

Prof. Luis M. Fernández-Ramírez
Guest Editor

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. Sci is an international peer-reviewed open access quarterly 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 1200 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

  • Full electric vehicles (FEVs)
  • Plug-in hybrid electric vehicles (PHEVs)
  • Fuel cell vehicles (FCVs)
  • Hybrid energy systems
  • Energy storage systems
  • Power electronics
  • Energy management systems
  • Charging systems
  • V2G, V2H, G2V

Published Papers (1 paper)

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Research

17 pages, 3910 KiB  
Article
An Experiment-Based Methodology for Evaluating the Impacts of Full Bandwidth Load on the Hybrid Energy Storage System for Electrified Vehicles
by Masood Shahverdi, Michael Mazzola, Matthew Doude, Quintin Grice, Jim Gafford and Nicolas Sockeel
Sci 2019, 1(1), 26; https://doi.org/10.3390/sci1010026 - 21 Apr 2019
Cited by 2 | Viewed by 3660
Abstract
In Electrified Vehicles, the cost, efficiency, and durability of electrified vehicles are dependent on the energy storage system (ESS) components, configuration and its performance. This paper, pursuing a minimal size tactic, describes a methodology for quantitatively and qualitatively investigating the impacts of a [...] Read more.
In Electrified Vehicles, the cost, efficiency, and durability of electrified vehicles are dependent on the energy storage system (ESS) components, configuration and its performance. This paper, pursuing a minimal size tactic, describes a methodology for quantitatively and qualitatively investigating the impacts of a full bandwidth load on the ESS in the HEV. However, the methodology can be extended to other electrified vehicles. The full bandwidth load, up to the operating frequency of the electric motor drive (20 kHz), is empirically measured which includes a frequency range beyond the usually covered frequency range by published standard drive cycles (up to 0.5 Hz). The higher frequency band is shown to be more efficiently covered by a Hybrid Energy Storage System (HESS) which in this paper is defined as combination of a high energy density battery, an Ultra-Capacitor (UC), an electrolytic capacitor, and a film capacitor. In this paper, the harmonic and dc currents and voltages are measured through two precision methods and then the results are used to discuss about overall HEV efficiency and durability. More importantly, the impact of the addition of high-band energy storage devices in reduction of power loss during transient events is disclosed through precision measurement based methodology. Full article
(This article belongs to the Special Issue Electric Vehicles)
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