Advances in Electric Vehicle Technology

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".

Deadline for manuscript submissions: 15 February 2026 | Viewed by 780

Special Issue Editors

Research Centre for Electric Vehicles, Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Interests: energy conversion systems; optimizing motor designs; controlling motors

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Guest Editor
Research Centre for Electric Vehicles, Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Interests: electric machine cooling; power electronics cooling
Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Interests: permanent magnet machine drives; multiphase machine drives; fault diagnosis for electrical drive systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Interests: linear motor design and drives; direct-drive in-wheel motor design and drives

Special Issue Information

Dear Colleagues,

The urgent global shift toward sustainable transportation has positioned electric vehicles (EVs) as a crucial point in addressing climate change, energy security, and urban air quality. This transition is being propelled by transformative engineering breakthroughs in energy storage, power electronics, electric macihnes, and integrated vehicle systems. Over the past decade, technologies such as high-density lithium-ion batteries, silicon carbide (SiC) inverters, high-power-density permanent magnet machines, and intelligent energy management systems have elevated EVs from experimental prototypes to mainstream commercial solutions.

Yet, critical engineering challenges persist in optimizing performance, safety, and scalability—particularly in integrated and high-density electric drive systems, efficient thermal management, and cost-effective manufacturing for mass prodoction. This Special Issue highlights cutting-edge engineering solutions to address these barriers, emphasizing innovations that bridge laboratory research and industrial deployment.

Submissions are invited on the following topics (including but not limited to):

  • Advanced battery systems;
  • Electric machines and drivetrain innovations;
  • Power electronics and energy conversion;
  • Thermal and energy management;
  • System-level optimization and testing.

Dr. Litao Dai
Dr. Xiaohui Huang
Dr. Zekai Lyu
Dr. Zhenghao Li
Guest Editors

Manuscript Submission Information

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Keywords

  • electric vehicles
  • electrified transportation
  • battery
  • power electronics
  • electric machine
  • thermal management
  • electric drive system

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Published Papers (1 paper)

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Research

36 pages, 3549 KB  
Article
Feasibility of Large-Scale Electric Vehicle Deployment in Islanded Grids: The Canary Islands Case
by Alejandro García García, Víctor Rubio Matilla, Juan Diego López Arquillo and Cristiana Oliveira
Electronics 2025, 14(23), 4579; https://doi.org/10.3390/electronics14234579 - 22 Nov 2025
Viewed by 522
Abstract
The present integration of electric vehicles into everyday life has the potential to redefine current standards of urban mobility. However, the territorial impact of this deployment demands a multiscale effort to ensure both efficient and sustainable performance; this is even more necessary in [...] Read more.
The present integration of electric vehicles into everyday life has the potential to redefine current standards of urban mobility. However, the territorial impact of this deployment demands a multiscale effort to ensure both efficient and sustainable performance; this is even more necessary in a disconnected system like an island. This article addresses the possibility of transforming the existing fossil-fuel-based infrastructure within Europe’s outermost regions into an electric vehicle charging network, with particular emphasis on the Canary Islands’ strategic plans. Using official datasets from Red Eléctrica de España (REE), IDAE, and the Canary Islands’ Energy Transition Plan (PTECan), we develop three scenarios (2025 baseline, 2030, and 2040) to quantify the additional electricity demand, peak load requirements, charging infrastructure needs, and associated greenhouse gas emissions. The methodology combines EV fleet projections, the driving patterns of residents and tourists, and vehicle efficiency data to estimate yearly electricity demand and hourly charging loads. The carbon intensity profiles of each island’s grid are used to calculate well-to-wheel emissions of EVs, benchmarked against internal combustion engine vehicles. The results indicate that achieving 250,000 EVs by 2030 would increase electricity demand by 1.1–1.4 TWh/year (+8–12% of current consumption), requiring approximately 25,000–30,000 public charging points. EV emissions range from 90 to 150 gCO2/km depending on charging time, compared to 160–190 gCO2/km for ICE vehicles. Smart charging and vehicle-to-grid integration could mitigate 15–25% of peak load increases, reducing the curtailment of renewables and deferring grid investments. A comparative analysis with Zealand highlights policy synergies and differences in insular versus continental grids. The findings confirm that large-scale EV adoption in the Canary Islands is technically feasible, but quite difficult, as it requires the deep, coordinated planning of renewable expansion, storage, and a charging infrastructure. BEV WTW advantages become unequivocal once the average grid carbon intensity falls below ≈0.8–0.9 tCO2/MWh, underscoring the primacy of accelerated renewable build-out and demand-side flexibility. Despite uncertainties in adoption and technology trajectories, the approach is transparent and reproducible with official datasets, providing a transferable planning tool for other islanded systems and mainland Europe. The proposed method demonstrates its usefulness in direct linking electrification scenarios with the real capacity of the electricity system, allowing the identification of very critical integration thresholds and guiding evidence-based planning decisions. Full article
(This article belongs to the Special Issue Advances in Electric Vehicle Technology)
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