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Challenges, Trends and Achievements in Electric Vehicle Research

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

Deadline for manuscript submissions: 10 February 2026 | Viewed by 1329

Special Issue Editor

Special Issue Information

Dear Colleagues,

As the world transitions towards a more sustainable future and seeks to reduce the carbon footprint, electric vehicles (EVs) have emerged as a pivotal technology in the fight against climate change and urban pollution.   In the last few years, there have been rapid advancement in electric vehicles, for which the market is blooming. This Special Issue invites contributions from industrialists, professionals and academics to explore the technology development and multifaceted impact of electric vehicle technology on transportation, energy systems, industrial development, societal impacts and environmental sustainability. We seek papers that address the latest advancements in EV technology, including battery innovations, energy storage, charging infrastructure, vehicle-to-grid integration, and electric vehicle parts and components, as well as their implications in relation to research, policy, economics and social acceptance. Additionally, we encourage research that examines the challenges and opportunities in the EV market, including the role of government incentives, consumer behaviour and the potential for smart city integration. By gathering diverse perspectives, this Special Issue aims to highlight the critical importance of electric vehicles in shaping the future of mobility and advancing global sustainability goals. We welcome original research articles, reviews, and case studies that contribute to the growing body of knowledge in this dynamic field.

Prof. Dr. Ka Wai Eric Cheng
Guest Editor

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Keywords

  • electric vehicle technology
  • battery energy storage
  • supercapacitor
  • second life batteries
  • in-wheel motor
  • motor and drives
  • power train
  • charger
  • wireless power transfer
  • ultrafast charging system
  • active suspension
  • vehicle to grid
  • hydrogen-powered vehicle
  • ammonia-powered vehicle
  • fuel cell
  • four-wheel drive
  • steering system
  • braking system
  • flying vehicle
  • solar vehicles
  • autonomous vehicle
  • amphibious vehicle
  • vehicle policy
  • vehicle infrastructure
  • smart city

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Published Papers (1 paper)

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Research

29 pages, 1903 KB  
Article
Enabling Intelligent Internet of Energy-Based Provenance and Green Electric Vehicle Charging in Energy Communities
by Anthony Jnr. Bokolo
Energies 2025, 18(18), 4827; https://doi.org/10.3390/en18184827 - 11 Sep 2025
Cited by 1 | Viewed by 702
Abstract
With the gradual shift towards the use of electric vehicles (EV), electricity demand is expected to increase especially in energy communities. Therefore, it is important to investigate how energy is generated as the provenance of electricity supply is directly linked to climate change. [...] Read more.
With the gradual shift towards the use of electric vehicles (EV), electricity demand is expected to increase especially in energy communities. Therefore, it is important to investigate how energy is generated as the provenance of electricity supply is directly linked to climate change. There are only a few studies that investigated the internet of energy and energy provenance, but this area of research is important to prevent the rebound effect of CO2 emission due to the lack of a transparent approach that verifies the source of electricity consumed for charging EVs. The energy system is a complex network, which results in difficulty verifying the source of electricity as related to the generation of energy. Identifying the provenance of electricity is challenging since electricity is a non-physical element. Moreover, the volatility of a Renewable Energy Source (RES), such as solar and wind power farms, in relation to the complex electricity distribution system makes tracking and tracing challenging. Disruptive technologies, such as Distributed Ledger Technologies (DLT), have been previously adopted to trace the end-to-end stages of products. Likewise, artificial intelligence (AI) can be adopted for the optimization, control, dispatching, and management of energy systems. Therefore, this study develops a decentralized intelligent framework enabled by AI-based DLT and smart contracts deployed to accelerate the development of the internet of energy towards energy provenance in energy communities. The framework supports the tracing and tracking of RES type and source consumed for charging EVs. Findings from this study will help to accelerate the production, trading, distribution, sharing, and consumption of RES in energy communities. Full article
(This article belongs to the Special Issue Challenges, Trends and Achievements in Electric Vehicle Research)
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