E3S Web Conf.
Volume 309, 20213rd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2021)
|Number of page(s)||5|
|Published online||07 October 2021|
Scientometric analysis on applications and recent research trends in electric vehicles for energy saving
1 Department of Mechanical Engineering, Chandigarh University, Punjab -140413, India
2 Department of Electronics and Communication Engineering, Chandigarh University, Punjab -140413, India
* Corresponding author E mail: email@example.com
Electric vehicles are playing a major role in reduction of the environmental depletion, greenhouse effect and in energy saving. The electric vehicles provide cleaner and quieter ambiance, reduce the operating cost and saves the energy compared to fossil fuel powered vehicles because electric vehicles consume 75% of the total energy to run the vehicle. In this work scientometric analysis of electric vehicles for energy savings presented by the authors. The scientometric analysis is used to show the recent research trends and applications of various types of electric vehicles for energy saving. The Scopus database has been utilized to extract the data on existing research information on electric vehicles for energy saving. This scientometric analysis focuses on the documents published from 2011 to 2020 only to investigate the recent trends. The analysis showed the comparison between the top countries and top source titles who have published the articles and conference papers on electric vehicles for energy saving. VOSviewer software is used to develop the keyword network and co-authorship network.
Key words: Electric vehicles / Energy saving / scientometric analysis / keywords analysis / Co-authorship, cluster
© The Authors, published by EDP Sciences, 2021
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.