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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67971
Volume:
10 |
10 |
Oct 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Electronics and Communication Engineering
CMR Technical Campus
Department of Electronics and Communication Engineering
CMR Technical Campus
Department of Electronics and Communication Engineering
CMR Technical Campus
Department of Electronics and Communication Engineering
CMR Technical Campus
Department of Electronics and Communication Engineering
CMR Technical Campus
Department of Electronics and Communication Engineering
CMR Technical Campus
The rapid adoption of electric vehicles (EVs) has increased the need for intelligent charging infrastructure that ensures efficient energy utilization, safety, and reliable monitoring. This paper presents a Smart EV Charging Infrastructure with Dynamic Load Management using an ESP32 microcontroller and Internet of Things (IoT) technology. The system monitors charging voltage, current, battery temperature, and charging status using sensors, transmitting real-time data to Firebase through Wi-Fi. A relay-based protection mechanism disconnects the charging circuit during abnormal conditions, improving safety and protecting battery health. Three charging profiles-Fast, Normal, and Eco-enable flexible charging according to user requirements. Dynamic load management optimizes power distribution and reduces unnecessary energy consumption. Experimental results demonstrate reliable cloud communication, accurate monitoring, and cost-effective implementation. The proposed system provides a scalable solution for residential, commercial, and public EV charging stations, supporting sustainable transportation and future smart-grid development.
KEYWORDS
This paper presents a Smart EV Charging Infrastructure with Dynamic Load Management using an ESP32 microcontroller integrated with IoT-based cloud monitoring. The proposed system addresses several limitations of conventional EV charging stations by combining embedded sensing, intelligent charging control, real-time communication, and cloud-based supervision within a unified and cost-effective architecture. Experimental validation demonstrated reliable operation across Fast, Normal, and Eco charging modes. The integrated relay protection mechanism successfully isolated the charging circuit under abnormal thermal and electrical conditions, thereby enhancing battery safety and operational reliability. Continuous synchronization with the cloud platform enabled efficient remote monitoring and supervision with minimal communication latency. Therefore, the proposed system offers a practical, economical, and intelligent solution for next-generation electric vehicle charging stations. Its modular design supports deployment across residential, commercial, institutional, and public charging environments while providing a strong foundation for future smart-grid integration.
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Publication Date
10/14/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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