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Machines
Special Issues
Future Trends of Electric Vehicle
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Future Trends of Electric Vehicle

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Vehicle Engineering".

Deadline for manuscript submissions: closed (15 December 2022) | Viewed by 5952

Special Issue Editor

Dr. Domenico Bianchi

E-Mail Website
Guest Editor
Department of Information Engineering, Computer Science and Mathematics (DISIM), Center of Excellence for Research DEWS, University of L'Aquila, Via Vetoio, Coppito, 67100 L´Aquila (AQ), Italy
Interests: the control of multiagent systems; modeling, analysis and control of networked, embedded and distributed systems; nonlinear systems and optimal control; artificial intelligence algorithms; application domains of interest are: vehicle dynamics control; connected hybrid and electric vehicle control; traffic control; robotics; smart agriculture; health
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Electric vehicles (EVs) are a promising solution for fossil fuel conservation and pollution reduction for a safe environment and sustainable transportation. The transition to electric road transport technologies requires electric traction drive systems to offer improved performances and capabilities, such as fuel efficiency, extended range, and fast-charging options. The design of these energy-efficient powertrains requires optimization of components, systems, and controls. Controls entail battery management, fuel consumption, driver performance demand emissions, and management strategy. The hardware optimization entails powertrain architecture, transmission type, power electronic converters, and energy storage systems.

This Special Issue will be devoted to the investigation of the challenges yet to be addressed in inverters and motors to make future EVs more efficient and affordable, the use of new batteries technologies or manufacturing processes, to the improvements and optimization of the charging process, the use of communications and Artificial Intelligence in electric vehicles for improving their mobility and for an efficient use of charging infrastructure, eco charging (i.e., using green energy) and sustainability issues that are related to EVs.

Dr. Domenico Bianchi
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. Machines is an international peer-reviewed open access monthly 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 2400 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

  • control systems
  • electric vehicles
  • power storage
  • mobility
  • artificial intelligence
  • charging control systems
  • optimization
  • motor control
  • inverter control
  • eco charge

Published Papers (2 papers)

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Research

13 pages, 1084 KiB  
Article
A Proposal for a Simplified Systematic Procedure for the Selection of Electric Motors for Land Vehicles with an Emphasis on Fuel Economy
by Albin Bajrami and Matteo Claudio Palpacelli
Machines 2023, 11(4), 420; https://doi.org/10.3390/machines11040420 - 25 Mar 2023
Cited by 2 | Viewed by 1270
Abstract
The selection of the electric motor for the propulsion system in electric vehicles is a crucial step, as it determines the final performance of the vehicle. The design of the propulsion system of an electric vehicle, although similar in principle to that of [...] Read more.
The selection of the electric motor for the propulsion system in electric vehicles is a crucial step, as it determines the final performance of the vehicle. The design of the propulsion system of an electric vehicle, although similar in principle to that of a conventional endothermic engine, requires a change in vision. Indeed, the main problem in an electric vehicle is its range, which depends not only on the weight of the vehicle but also on the type of powertrain, type of transmission and engine, several factors that are difficult to assess at an early stage. In some cases, during the preliminary design phase of the propulsion system, one simply estimates the maximum power required by the vehicle, neglecting the calculation of the range. This evaluation is postponed to later stages, causing increased complexity and interaction during the propulsion system evaluation process. In this study, vehicle autonomy is taken into account from the outset with the aim to reduce this iteration. This paper proposes a preliminary electric motor selection method for land vehicles, highlighting the importance of smoothing the sampled data of driving cycles. A method for obtaining approximate efficiency maps of the electric motor is also illustrated, and it is shown how the total gear ratio affects vehicle energy consumption. Ultimately, this work makes a contribution to the design of more efficient and high-performance electric vehicles. This topic is more oriented to helping automotive manufactures choose in a fast and structured way electric motors for their vehicles. Full article
(This article belongs to the Special Issue Future Trends of Electric Vehicle)
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22 pages, 2913 KiB  
Article
Design and Implementation of SAE J1939 and Modbus Communication Protocols for Electric Vehicle
by Ahmad Alzahrani, Shriya Makarand Wangikar, Vairavasundaram Indragandhi, Rassaiah Raja Singh and Vairavasundaram Subramaniyaswamy
Machines 2023, 11(2), 201; https://doi.org/10.3390/machines11020201 - 01 Feb 2023
Cited by 2 | Viewed by 4135
Abstract
The charging station has a vital role in the electric vehicle sector. The charging station provides supply (AC or DC) to vehicles as per requirements. The charging station infrastructure includes software and hardware that ensure energy transfer and safety. Communication is mandatory to [...] Read more.
The charging station has a vital role in the electric vehicle sector. The charging station provides supply (AC or DC) to vehicles as per requirements. The charging station infrastructure includes software and hardware that ensure energy transfer and safety. Communication is mandatory to transmit messages that contain information from the battery management system and charger. This research focuses on implementing the communication between the charger controller and the battery management system. This paper adopts the controller area network (CAN) bus charger communication protocol based on the SAE J1939 standard from the Society of Automotive Engineers. The data are transmitted over a network to facilitate the information that is to be conveyed by an electronic control unit. The vehicle communicates via the battery management system to the charger controller using CAN communication. The charger power modules with AC to DC and DC to DC converters uses Modbus communication protocol. Therefore, this paper integrates CAN bus and Modbus communication protocols and implements the communication between charger and electric vehicle battery management system using a cost-effective Arduino UNO micro-controller. Using the CAN bus module (MCP2515) and Modbus module (MAX485), the distance between the electric vehicle and the charger is increased. Finally, the communication is validated using PCAN View software. Full article
(This article belongs to the Special Issue Future Trends of Electric Vehicle)
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