Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM67971

Smart EV Charging Infrastructure with Dynamic Load Management

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM67971

Volume:

10 |

10 |

Oct 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM67971

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.

Share this article:

Authors

SM

Sudhamalla Mallesh

Department of Electronics and Communication Engineering

CMR Technical Campus

Download Author Certificate
SM

Sakhamudi Manaswini

Department of Electronics and Communication Engineering

CMR Technical Campus

Download Co-Author Certificate
MS

Masanpally Siddhartha

Department of Electronics and Communication Engineering

CMR Technical Campus

Download Co-Author Certificate
BD

Bodike Dhanush

Department of Electronics and Communication Engineering

CMR Technical Campus

Download Co-Author Certificate
KSR

Kotipalli Sharon Rose

Department of Electronics and Communication Engineering

CMR Technical Campus

Download Co-Author Certificate

Mentors

SM

Sudhamalla Mallesh

Department of Electronics and Communication Engineering

CMR Technical Campus

Download Mentor Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

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

Electric Vehicle (EV) Smart Charging Infrastructure Dynamic Load Management ESP32 Microcontroller Internet of Things (IoT) Firebase Cloud Real-Time Monitoring Battery Protection Energy Optimization Wi-Fi Communication.

Cite This Article

Sudhamalla Mallesh, Sakhamudi Manaswini, Masanpally Siddhartha, Bodike Dhanush, Kotipalli Sharon Rose, Sudhamalla Mallesh, "Smart EV Charging Infrastructure with Dynamic Load Management," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-5, Oct 2026. https://doi.org/10.55041/IJSREM67971

Full Article/Conclusion

               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.

References

[1]     L.Deori, K. K. Mandal, and N. Senroy, Consensus Control of Electric Vehicle Charging Stations for Providing Performance-Based Frequency Regulation Service, IEEE Transactions on Smart Grid, vol-74, issue no-9, 13809-13820, 2025, 10.1109/TVT.2025.3565169 [2]     M. F. Zia, E. Elbouchikhi, and M. Benbouzid, Distributed Consensus-Based Optimal Power Sharing Between Grid and EV Charging Stations Using Derivative-Free Charging Scheduling, IEEE Access, vol-12, 127768–127781,2024, 10.1109/ACCESS.2024.3439019 [3]     S. A. A. Shah, A. W. Ahmad, and H. M. Kim,EV Charging Management and Security for Multi-Charging Stations Environment,IEEE International Conference on Smart Grid Communications (SmartGridComm), vol-05,807-824, 2024, 10.1109/OJVT.2024.3418201 [4]     Y. Chen, L. Tong, and S. H. Low, Online Deadline-Aware EV Charging Considering State-of-Charge-Dependent Peak Charging Rate,IEEE Transactions on Smart Grid,vol-16,Issue no-6,5275-5288,2025, 10.1109/TSG.2025.3591027 [5]     J. Tan and L. Wang, Online Menu-Based Scheduling of Electric Vehicle Charging, IEEE Transactions on Smart Grid, vol-16, issue no-3, 2478-2491, 2025, 10.1109/TSG.2025.3539962 [6]     H. Wu, G. Chen, and Y. Li, Robust EV Scheduling in Charging Stations Under Uncertain Demands and Deadlines,IEEE Transactions on Smart Grid, vol-25, issue no-12,21484-21499, 2024, 10.1109/TITS.2024.3466514 [7]     M. Dubarry, C. Truchot, and B. Y. Liaw,Temperature-Controlled Smart Charging for Electric Vehicles in Cold Climates,IEEE Transactions on Transportation Electrification,vol-16, issue no-03,2197-2207,2025, 10.1109/TSG.2025.3525672 [8]     H. Mosalli, S. Sanami, Y. Yang, H. G. Yeh & A. G. Aghdam, Dynamic Load Balancing for EV Charging Stations Using Reinforcement Learning and Demand Prediction,arXiv,2025, arXiv:2503.06370

Editorial & Review Transparency

Publication Date

10/14/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

4

Total views since publication

PDF Downloads

10

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...