Toward a Smarter EV Infrastructure: Patterns, Gaps, and Opportunities in Public Charging Station Networks

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Published: Mar 31, 2026
DOI: https://doi.org/10.33093/ijoras.2026.8.1.12
Keywords:
Electric vehicles, public charging stations, infrastructure optimization, spatial analysis, smart grid

Main Article Content

Fikri Mahendra
Department of Electrical Engineering, Faculty of Engineering, President University (Indonesia)
Mia Galina
Department of Electrical Engineering, Faculty of Engineering, President University (Indonesia)
Iksan Bukhori
Department of Electrical Engineering, Faculty of Engineering, President University (Indonesia)
Tetuko Kurniawan
Department of Biosystems and Soft Matter, Institute of Fundamental Technological Research, Polish Academy of Sciences (Poland)

Abstract

The rapid adaptation of electric vehicles (EV) requires a reliable and easy -to -access public load infrastructure. In order to find the smarter trends, gaps and opportunities for infrastructure development, this study considered the public charges of electric vehicles around the world. We study chargers, costs, space access and distribution measures using a data set of 5,000 charging stations. To optimize the position of the charger and attract attention to the difference in access between urban and rural areas, mixed programming and statistical analysis are used. The results show that urban areas have a higher load but are blocked, while rural areas do not have enough coverage. Improve cybersecurity procedures and integrate renewable energy sources are two areas that can be used improved. The results are supported by recent documents, emphasizing the importance of the fair and effective EV infrastructure plan.


Manuscript received: 16 Jun 2025 | Revised: 5 Aug 2025 | Accepted: 13 Nov 2025 | Published: 31 Mar 2026

Article Details

How to Cite
Mahendra, F. ., Galina, M., Bukhori, I., & Kurniawan, T. (2026). Toward a Smarter EV Infrastructure: Patterns, Gaps, and Opportunities in Public Charging Station Networks. International Journal on Robotics, Automation and Sciences, 8(1), 113–117. https://doi.org/10.33093/ijoras.2026.8.1.12
Issue
Vol. 8 No. 1 (2026): International Journal on Robotics, Automation and Sciences
Section
NexSymp2025 (Science & Technology)
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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