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CASES Vehicles and the Mobility of the Next Generation

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

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 3346

Special Issue Editors


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Guest Editor
Faculty of Economics, West Pomeranian University of Technology in Szczecin, 70-310 Szczecin, Poland
Interests: automobile industry; EU regulations; smart city; telematics; electromobility

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Guest Editor
Institute of Management, University of Szczecin, 70-453 Szczecin, Poland
Interests: electromobility; logistics of energy sector; Industry 4.0; smart grids; smart cities
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Guest Editor
Faculty of Management and Computer Modeling, Kielce University of Technology, Al. Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland
Interests: transport; modeling of transportation processes and systems; multi-criteria decision support; transport ecology; electromobility; optimization
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Maritime Technology and Transport, West Pomeranian University of Technology in Szczecin, al. Piastów 41, 71-065 Szczecin, Poland
Interests: marine engines and drives; shipping; security engineering; environmental protection; electromobility

Special Issue Information

Dear Colleagues,

When we talk about the concepts Connected, Autonomous, Shared, Electrified, Sustainable (CASES), we mean looking at the transformation of mobility in terms of vehicle technology and responsibility when making this decision. To understand what form this revolution will take, we need to look at the three main trends that affect the mobility of the future.

  1. Electrified vehicles—these are products that undergo constant technical and technological changes.
  2. Software Defined Vehicles—To meet the needs of the future electric vehicle market, knowledge of the specialized software used by the vehicle itself, as well as the surrounding infrastructure, is needed.
  3. Autonomous Vehicles—Autonomous Transport Systems (ATS) use a dense network of sensors and processing units to observe the driving environment and transmit commands to their subsystems to make the most connected and sustainable use of vehicle and infrastructure resources.

In the CASES acronym, the terms Connected and Shared are strongly associated with changes in the decision-making process along the value chain. There is a clear difference between decisions made in the past regarding electric vehicles for autonomy programming and those that need to be made to create the vehicle of the future. What is particularly acute is the pace of changes in technical and technological solutions, e.g., in terms of drives, types of fuels, charging stations, the operating costs of an electric vehicle and software, or the autonomy of the vehicle. From a scientific perspective, it seems important to understand whether these changes will occur gradually, whether a revolution awaits us in the near future, or whether barriers have appeared to the mobility of the future generation.

This Special Edition provides a place to discuss this research problem, given the increased interest in issues related to technological and technical progress in the field of CASES vehicles and the lack of publications related to this research topic.

Dr. Wojciech Lewicki
Prof. Dr. Wojciech Drożdż
Prof. Dr. Ewelina Sendek-Matysiak
Prof. Dr. Zbigniew Łosiewicz
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

  • electric vehicle
  • low emission vehicle
  • innovative technologies
  • evolution of drive units
  • vehicle—intrastructure—software connection
  • technological barriers
  • electric vehicle operating costs
  • charging stations
  • intelligent software
  • autonomous vehicle
  • urban transport
  • sustainable vehicle
  • infrastructure for the mobility of the next generation
  • processes digitization
  • smart grids

Published Papers (2 papers)

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Research

23 pages, 6277 KiB  
Article
Computational Investigation on the Performance Increase of a Small Industrial Diesel Engine Regarding the Effects of Compression Ratio, Piston Bowl Shape and Injection Strategy
by Raphael Hatz, Alexander Lukas, Andreas Zepf and Malte Jaensch
Energies 2022, 15(13), 4674; https://doi.org/10.3390/en15134674 - 25 Jun 2022
Viewed by 1243
Abstract
This paper describes the simulative approach to calibrate an already extremely highly turbocharged industrial diesel engine for higher low-speed torque. The engine, which is already operating at its cylinder-pressure maximum, is to achieve close to 30 bar effective mean pressure through suitable calibration [...] Read more.
This paper describes the simulative approach to calibrate an already extremely highly turbocharged industrial diesel engine for higher low-speed torque. The engine, which is already operating at its cylinder-pressure maximum, is to achieve close to 30 bar effective mean pressure through suitable calibration between the compression ratio, piston-bowl shape and injection strategy. The basic idea of the study is to lower the compression ratio for even higher injection masses and boost pressures, with the resulting disadvantages in the area of emissions and fuel consumption being partially compensated for by optimizations in the areas of piston shape and injection strategy. The simulations primarily involve the use of the 3D CFD software Converge CFD for in-cylinder calibration and a fully predictive 1D full-engine model in GT Suite. The simulations are based on a two-stage turbocharged 1950 cc four-cylinder industrial diesel engine, which is used for validation of the initial simulation. With the maximum increase in fuel mass and boost pressure, the effective mean pressure could be increased up to 28 bar, while specific consumption increased only slightly. Depending on the geometry, NOx or CO and UHC emissions could be reduced. Full article
(This article belongs to the Special Issue CASES Vehicles and the Mobility of the Next Generation)
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27 pages, 967 KiB  
Article
Exploiting the Moth–Flame Optimization Algorithm for Optimal Load Management of the University Campus: A Viable Approach in the Academia Sector
by Ibrar Ullah, Irshad Hussain, Khalid Rehman, Piotr Wróblewski, Wojciech Lewicki and Balasubramanian Prabhu Kavin
Energies 2022, 15(10), 3741; https://doi.org/10.3390/en15103741 - 19 May 2022
Cited by 9 | Viewed by 1232
Abstract
Unbalanced load condition is one of the major issues of all commercial, industrial and residential sectors. Unbalanced load means that, when different loads are distributed on a three-phase four-wire system, unequal currents pass through the three phases. Due to it, a heavy current [...] Read more.
Unbalanced load condition is one of the major issues of all commercial, industrial and residential sectors. Unbalanced load means that, when different loads are distributed on a three-phase four-wire system, unequal currents pass through the three phases. Due to it, a heavy current flows in the neutral wire, which not only adds the losses, but also puts constraints on three phases’ loads. In this paper, we have presented a practical approach for load balancing. First, we have considered the existing three-phase load system where the supply is a three-phase unbalanced supply. Before balancing the load, it is necessary to compensate the current in neutral wire. A nature-inspired moth–flame optimization (MFO) algorithm is used to propose a scheme for balancing of current in neutral wire. The information of a distributed single-phase load was used to balance the currents in a three-phase system. The feeder phase and load profiles of each single-phase load are used to reconfigure the network using an optimization process. By balancing the current of three phases, the current of the neutral conductor in substation transformers was reduced to almost zero. Full article
(This article belongs to the Special Issue CASES Vehicles and the Mobility of the Next Generation)
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