Connected Vehicles and Charging Infrastructure: Innovations and Security

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: 15 October 2024 | Viewed by 3504

Special Issue Editors


E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, Hal Marcus College of Science and Engineering, University of West Florida, Bldg. 4, Room 133, 11000 University Parkway, Pensacola, FL 32514, USA
Interests: smart grid; cyber physical systems security; transportation electrification
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Intelligent Systems & Robotics, University of West Florida, Pensacola, FL 32514, USA
Interests: cyber security; intelligent systems; guidance-navigation-control of unmanned vehicles; multi-agent systems; robotics; data-driven detection and estimation; computer vision
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, Center for Cybersecurity, University of West Florida, Pensacola, FL 32502, USA
Interests: cybersecurity; machine learning; vehicle security; ICS/SCADA security; compliance and auditing

Special Issue Information

Dear Colleagues,

The rise in the interest and production of electric vehicles (EVs) in recent years is paving the way for an environmentally sustainable future. As the number of electric vehicles is expected to increase significantly in the near future, there is a need to develop innovative technologies to support this growth.

Connected vehicles are seen as one such solution, with the potential to improve smart cities in terms of safety, management and energy. However, to realize these benefits, there is a need for a robust charging and communication infrastructure  to support the growth of the connected EV market.

The vehicle-to-grid, vehicle-to-vehicle and vehicle-to-infrastructure concepts are seen as critical in addressing the challenges associated with charging EVs. Cloud applications are also seen as a way of supporting the charging infrastructure by providing data analytics, communication, and control of the EV charging process. However, this development also presents new security challenges, especially given the proliferation of connected devices.

In light of these issues, we are calling for research papers that explore the following topics:

  • Emerging technologies in the connected EV market;
  • Robust and secure charging infrastructure for connected EVs;
  • Cloud-based applications and their role in supporting EV charging;
  • Vehicle-to-grid, vehicle-to-vehicle and vehicle-to-infrastructure technologies and their potential in addressing EVs challenges;
  • Security challenges associated with connected vehicles and charging infrastructure.

We welcome both original papers and reviews that provide in-depth knowledge regarding the most recent innovations in all aspects of connected vehicles and charging infrastructure.

Dr. Tarek Youssef
Dr. Hakki Erhan Sevil
Dr. Guillermo A. Francia III
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. Inventions 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 1800 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

  • connected vehicles
  • EV charging infrastructure
  • vehicle to grid
  • vehicle and vehicle
  • V2X
  • vehicle to infrastructure
  • EV charging
  • connected vehicles security

Published Papers (2 papers)

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

Research

17 pages, 3366 KiB  
Article
Optimal Siting and Sizing of Electric Vehicle Energy Supplement Infrastructure in Highway Networks
by Ding Jin, Huayu Zhang, Bing Han, Gang Liu, Fei Xue and Shaofeng Lu
Inventions 2023, 8(5), 117; https://doi.org/10.3390/inventions8050117 - 15 Sep 2023
Viewed by 1423
Abstract
The electric vehicle (EV) market is expanding rapidly to achieve the future goal of eco-friendly transportation. The scientific planning of energy supplement infrastructures (ESIs), with appropriate locations and capacity, is imperative to develop the EV industry. In this research, a mixed integer linear [...] Read more.
The electric vehicle (EV) market is expanding rapidly to achieve the future goal of eco-friendly transportation. The scientific planning of energy supplement infrastructures (ESIs), with appropriate locations and capacity, is imperative to develop the EV industry. In this research, a mixed integer linear programming (MILP) model is proposed to optimize the location and capacity of ESIs, including vehicle charging stations (VCSs), battery swapping stations (BSSs), and battery charging stations (BCSs), in highway networks. The objective of this model is to minimize the total cost with the average waiting time for EVs being constrained. In this model, battery swapping and transportation behaviors are optimized such that the EV average waiting time can be reduced, and the average queue and service process waiting time is estimated by the M/M/1 model. Real-world data, i.e., from the London M25 highway network system, are used as a case study to test the effectiveness of the proposed method. The results show that considering battery transportation behaviors is more cost efficient, and the results are sensitive to the EV average waiting time tolerance, battery cost, and charging demand. Full article
Show Figures

Figure 1

29 pages, 22889 KiB  
Article
FEA Assessment of Contact Pressure and Von Mises Stress in Gasket Material Suitability for PEMFCs in Electric Vehicles
by Soo-Hyun Park, Akeem Bayo Kareem, Woo Jeong Joo and Jang-Wook Hur
Inventions 2023, 8(5), 116; https://doi.org/10.3390/inventions8050116 - 14 Sep 2023
Viewed by 1511
Abstract
Ensuring the safety of electric vehicles is paramount, and one critical concern is the potential for hazardous hydrogen fuel leaks caused by the degradation of Proton-Exchange Membrane Fuel Cell (PEMFC) gasket materials. This study employs advanced techniques to address this issue. We leverage [...] Read more.
Ensuring the safety of electric vehicles is paramount, and one critical concern is the potential for hazardous hydrogen fuel leaks caused by the degradation of Proton-Exchange Membrane Fuel Cell (PEMFC) gasket materials. This study employs advanced techniques to address this issue. We leverage Finite Element Analysis (FEA) to rigorously assess the suitability of gasket materials for PEMFC applications, focusing on two crucial conditions: ageing and tensile stress. To achieve this, we introduce a comprehensive “dual degradation framework” that considers the effects of contact pressure and von Mises stress. These factors are instrumental in evaluating the performance and durability of Liquid Silicon Rubber (LSR) and Ethylene Propylene Diene Monomer (EPDM) materials. Our findings reveal the Yeoh model as the most accurate and efficient choice for ageing simulations, boasting a minimal Mean Absolute Percentage Error (MAPE) and computational time of just 0.27 s. In contrast, the Ogden model, while accurate, requires more computational resources. In assessing overall model performance using MAE, Root Mean Square Error (RMSE), and R-squared metrics, both LSR and EPDM materials proved promising, with LSR exhibiting superior performance in most areas. Furthermore, our study incorporates uniaxial tensile testing, which yields RMSE and MAE values of 0.30% and 0.40%, respectively. These results provide valuable insights into material behaviour under tensile stress. Our research underscores the pivotal role of FEA in identifying optimal gasket materials for PEMFC applications. Notably, LSR is a superior choice, demonstrating enhanced FEA modelling performance under ageing and tensile conditions. These findings promise to significantly contribute to developing safer and more reliable electric vehicles by advancing gasket material design. Full article
Show Figures

Figure 1

Back to TopTop