| Issue |
ITM Web Conf.
Volume 84, 2026
2026 International Conference on Advent Trends in Computational Intelligence and Data Science (ATCIDS 2026)
|
|
|---|---|---|
| Article Number | 04030 | |
| Number of page(s) | 11 | |
| Section | Computer Vision, Robotic Systems, and Intelligent Control | |
| DOI | https://doi.org/10.1051/itmconf/20268404030 | |
| Published online | 06 April 2026 | |
The Influence of Electromagnetic Fields on Charging Efficiency of Electric Vehicle Batteries - Principles, Influencing Factors and Optimization Strategies
WLSA Shanghai Academy, Shanghai, China
* Corresponding author’s email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
In the last few years, the globe has focused its attention on renewable energy in an attempt to address environmental concerns. Electric vehicles are one such useful innovation of this kind, since they produce a cleaner alternative to traditional gasoline-powered vehicles. Charging system efficiency is arguably one of the greatest challenges to mass-producing electric vehicles. Proper charging is crucial as it has a direct impact on user convenience of electric vehicles, energy consumption, and battery durability. There is an electromagnetic field interaction of the battery in the middle of an electric vehicle when being charged. The field is created by the current flow and interaction between the charging system and the battery. Electromagnetic fields have the potential to affect charging efficiency in a broad range of ways, such as causing energy loss, creating interference, and affecting battery material. Understanding these effects is crucial to the development of electric vehicle technology.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

