energies-logo

Journal Browser

Journal Browser

Power Processing Systems for Electric Vehicles II

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".

Deadline for manuscript submissions: 7 September 2024 | Viewed by 1159

Special Issue Editors


E-Mail Website
Guest Editor
Electrical and Computer Engineering, Baylor University, Waco, TX, USA
Interests: energy systems including power electronics and drives; electric and hybrid vehicles; power systems; renewables; grid-integration; distributed generation
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Mechanical Engineering, Baylor University, Waco, TX, USA
Interests: energy storage; batteries; fuel cells; energy and power processing; the development of novel materials applied to the areas of energy sustainability; energy conversion and storage
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the last few years, the growth in global EV sales has been around 60%, with over 10 million EVs on the road worldwide. The International Energy Agency (IEA) forecasts that these numbers will increase to 125 million by 2030. EVs offer increased efficiency and energy savings, reduced emissions (especially when the electricity is being generated from renewable resources), a greater diversity of fuel choices for transportation, and higher performance. This Special Issue focuses on power processing systems for high-efficiency, high-performance electric vehicles, including power electronic converters, electric motor drives, electric machines, control, energy storage, and advanced charging approaches. Your contributions may describe new technologies, modeling, characterization, topologies, control methods, applications, and other advancements. We are looking forward to receiving your submissions.

Prof. Dr. Annette Von Jouanne
Prof. Dr. Alexandre Yokochi
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.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

17 pages, 3503 KiB  
Article
Geographical Modeling of Charging Infrastructure Requirements for Heavy-Duty Electric Autonomous Truck Operations
by Feyijimi Adegbohun, Annette von Jouanne, Emmanuel Agamloh and Alex Yokochi
Energies 2023, 16(10), 4161; https://doi.org/10.3390/en16104161 - 18 May 2023
Viewed by 878
Abstract
This study presents an analysis of the charging infrastructure requirements for autonomous electric trucks (AETs) in a specified geographical region, focusing on the state of Texas as a case study. A discrete-time, agent-based model is used to simulate the AET fleet and consider [...] Read more.
This study presents an analysis of the charging infrastructure requirements for autonomous electric trucks (AETs) in a specified geographical region, focusing on the state of Texas as a case study. A discrete-time, agent-based model is used to simulate the AET fleet and consider various model parameters such as trip distance/duration, the number of trips, and charging speeds. The framework incorporates unique properties of the Texas road network to assess the sensitivity of charging infrastructure needs. By synergizing electrification and automation, AETs offer benefits such as reduced carbon emissions, enhanced transportation safety, decreased congestion, and improved operational costs for fleets. By simulating daily trips and energy consumption patterns, an analysis of the charging infrastructure needs for cities along the Texas highway triangle formed by I-35, I-45 and I-10 revealed that the total charging energy and average charging power for these major cities ranges between 443~533 MWh/day and 18.5~22 MW, with costs in the range of USD $7.74~$15.93 million for each city, depending on charging infrastructure design and exclusive of any enhancements to the distribution grid infrastructure needed to support the charging infrastructure. This data-driven approach may be replicated for other regions by adapting the simulation parameters to allow policymakers and stakeholders to assess the charging infrastructure requirements and related investments needed to support the transition to electric and autonomous heavy-duty trucking. Full article
(This article belongs to the Special Issue Power Processing Systems for Electric Vehicles II)
Show Figures

Figure 1

Back to TopTop