Revolutionizing Mobility: Unleashing the Power of Software-Defined Networking for Electric Vehicle Communication

A special issue of Inventions (ISSN 2411-5134). This special issue belongs to the section "Inventions and Innovation in Electrical Engineering/Energy/Communications".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 1929

Special Issue Editor


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Guest Editor
Department of Information Engineering, University of Brescia, 25123 Brescia, Italy
Interests: instrumentation and measurement; industrial real-time network; wireless sensor network; smart sensors; communication systems for smart grids; time synchronization; Linux-embedded programming; embedded systems; power quality; smart grids; energy systems; smart building; energy management system; electric vehicles; vehicle-to-vehicle communication
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Special Issue Information

Dear Colleagues,

In an era defined by environmental consciousness and technological innovation, vehicle electrification is rapidly transforming the transportation landscape. This Special Issue explores the rapidly evolving world of electric vehicle (EV) communication, focusing on how software-defined networking (SDN) is changing the way EVs interact with each other, the infrastructure, and the broader ecosystem. It investigates the fundamental role of SDN in shaping electric vehicle communication infrastructure and analyzes how it improves data exchange, connectivity, and energy management, ultimately leading to safer, smarter, and more sustainable mobility solutions.

This Special Issue features contributions from leading researchers, industry experts, and practitioners at the forefront of the fields of electric vehicles and software-defined networking. By gathering cutting-edge technologies, models, inventions, and applications, and technological advancements, this Special Issue will highlight the path toward a sustainable and interconnected future of mobility. It aims to cover a wide range of topics, including, but not limited to, the following:

  • Interconnected smart charging;
  • Enhancing vehicle-to-everything (V2X) communication;
  • Software-defined networking for V2X;
  • Fog and edge computing applied to V2X;
  • Blockchain applications for V2X;
  • Federated learning;
  • Security and privacy challenges;
  • Green communication for EV charging;
  • Scalability and future prospects.

Dr. Stefano Rinaldi
Guest Editor

Manuscript Submission Information

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Keywords

  • interconnected smart charging
  • enhancing vehicle-to-everything (V2X) communication
  • software-defined networking for V2X
  • fog and edge computing applied to V2X
  • blockchain applications for V2X
  • federated learning
  • security and privacy challenges
  • green communication for EV charging
  • scalability and future prospects

Published Papers (1 paper)

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Research

19 pages, 2763 KiB  
Article
Classifying Invention Objectives of Electric Vehicle Chargers through Natural Language Processing and Machine Learning
by Raj Bridgelall
Inventions 2023, 8(6), 149; https://doi.org/10.3390/inventions8060149 - 19 Nov 2023
Cited by 1 | Viewed by 1713
Abstract
The gradual adoption of electric vehicles (EVs) globally serves as a crucial move toward addressing global decarbonization goals for sustainable development. However, the lack of cost-effective, power-efficient, and safe chargers for EV batteries hampers adoption. Understanding the research needs and identifying the gaps [...] Read more.
The gradual adoption of electric vehicles (EVs) globally serves as a crucial move toward addressing global decarbonization goals for sustainable development. However, the lack of cost-effective, power-efficient, and safe chargers for EV batteries hampers adoption. Understanding the research needs and identifying the gaps in EV charger innovation informs investments and research to address development challenges. This study developed a unique text mining workflow to classify themes in EV charger technology and product development by analyzing U.S. patent award summaries. The text mining workflow combined the techniques of data extraction, data cleaning, natural language processing (NLP), statistical analysis, and unsupervised machine learning (ML) to extract unique themes and to visualize their relationships. There was a 47.7% increase in the number of EV charger patents issued in 2022 relative to that in 2018. The top four themes were charging station management, power transfer efficiency, on-board charger design, and temperature management. More than half (53.8%) of the EV charger patents issued over the five-year period from 2018 to 2022 addressed problems within those four themes. Patents that addressed wireless charging, fast charging, and fleet charging accounted for less than 10% each of the EV charger patents issued. This suggests that the industry is still at the frontier of addressing those problems. This study further presents examples of the specific EV charger problems addressed within each theme. The findings can inform investment decisions and policymaking to focus on R&D resources that will advance the state of the art and spur EV adoption. Full article
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