Special Issue on ET-EVS

Emerging Technologies in Electric Vehicle Systems

The environmental challenges and energy crises have given rise to a range of social and economic concerns, prompting efforts to embrace renewable, clean energy sources. Consequently, the electrification of transportation is viewed as a promising solution to decrease carbon emissions, pollution, and reduce reliance on finite, non-renewable natural resources. The feasibility for monitoring the condition and longevity of electric vehicle (EV) batteries have increased. Despite ongoing advancements in battery diagnostic technologies, there remain numerous obstacles in accurately forecasting aspects like battery state of health (SOH), cycle life, remaining useful life (RUL), fault detection, and performance under adverse conditions in real-world settings. Efficiency is a critical factor in enhancing the mileage of electric vehicles, particularly in the current era of rapid electric vehicle development which enhance various aspects of motor performance. The advanced technology utilized in Power Electronics Converters for electric vehicle (EV) charging, highlighting their notable advancements. Additionally, it introduces the grid impact challenges associated with the integration of electric vehicles into the power grid. Data-driven methodologies present fresh avenues for smarter approaches, thereby expediting the transition of technological advancements from academia to practical engineering applications.

Electrical and computer engineers are at the cutting edge of technological advancement, actively involved in shaping the design, creation, testing, and production of the next wave of devices and machinery. In their quest for innovation, these experts often find themselves exploring the ever-expanding realm of artificial intelligence applications. Advancements in fields such as machine learning and deep learning have had a profound impact on virtually every sector and scientific domain, including the field of engineering. Experts in machine learning and electrical engineering harness the power of AI to construct and enhance systems while supplying AI technology with fresh data inputs for analysis.

This Special Issue, entitled "Recent Advances and Emerging Trends in Electric Vehicle Technology", provides an overview of cutting-edge configurations and novel concepts in the realm of electric vehicles, battery health management predictions, structural design and operational control of permanent motors used in EV and addressing the measures taken to mitigate the impact of EV charging on the power grid, as well as the technical aspects of EV charging infrastructure using machine learning algorithms. Authors are encouraged to submit articles for this Special Issue that encompass a wide spectrum of subjects within this field and explore various methodologies for its practical applications.

Topics of Interest

  • Battery Technology and Energy Storage
  • Charging Infrastructure
  • Electric Powertrains and Motors
  • Energy Management and Efficiency
  • Autonomous Electric Vehicles
  • Sustainability and Recycling
  • Lightweight Materials and Design
  • Connected EVs and IoT
  • Hydrogen Fuel Cell Vehicles

Important Dates

Submission and publication details Timelines
Submission Deadline:
Notification of Acceptance: January 01, 2024
Final Version Due: January 31, 2024
Special Issue Publishing Date: Febuary 28, 2024
DOI, Indexing and Others After 1 month of publication, will be automatically updated

Article Processing Charges

All papers submitted to Special Issues are subject to an Article Processing Charge (APC) if the manuscript is accepted for publication after peer review.

For more details on article processing charges, please follow the "Article Processing Charges" section of the journal for the Special Issue.

Lead Guest Editor

J N Chandra Sekhar
Sri Venkateswara University, Andhra Pradesh, India
Google Scholar Profile
Email: chandrasekhar.jn@svuniversity.edu.in
Specialization: Power Electronics, Power Semiconductor Controlled Drives,
Artificial Intelligence Techniques

Guest Editor#1

Dr. Ch. Chengaiah
Sri Venkateswara University, Andhra Pradesh, India
Google Scholar Profile
Email: chinthapudisvu@gmail.com
Specialization: Power system Operation and Control, Power Electronics drives and Control Systems
Renewable Energy Sources, Electric Vehicles

Guest Editor#2

Chandragiri Venkata Reddy
Yeungnam University, South Korea
Google Scholar Profile
Email: cvr_phy@gmail.com
Specialization: Hybrid Nano materials, Energy storage, water purification

Proposals are accepted on a continuous basis till deadline for submission.

To submit, send your research paper to editor_etevs@forexjournal.co.in