 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: May 2026
Volume 11 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 120
Article Submitted : 24206
Article Published : 9239
Total Authors : 24597
Total Reviewer : 847
Total Countries : 165
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | AI-Enabled Digital Twin for Hybrid Energy Storage System Optimization |
| Authors Name: | T. SRISARAN , P. DHANUSHMOORTHY , R.ILAKKIYA |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_211637
|
| Published Paper Id: | IJRTI2604285 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | This project focuses on the development of an AI-enabled digital twin system for a solar-assisted electric vehicle. The system integrates a hybrid energy storage setup consisting of a lithium-ion battery and a solar panel to efficiently power an electric motor. The STM32F103C8 microcontroller acts as the central control unit, continuously monitoring system parameters such as voltage, current, motor speed, and solar power generation. The collected data is transmitted in real time using the ESP8266 Wi-Fi module to a cloud-based digital twin platform. This virtual model mirrors the physical system and enables intelligent decision-making using artificial intelligence. By analyzing the incoming data, the system can optimize energy usage, predict faults before failure occurs, and significantly improve the overall efficiency and lifespan of the vehicle. |
| Keywords: | AI-enabled Digital, Twin Hybrid Energy Storage System, Electric Vehicle (EV), Energy Optimization, Predictive Maintenance, Real-time Monitoring |
| Cite Article: | "AI-Enabled Digital Twin for Hybrid Energy Storage System Optimization", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c85-c89, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604285.pdf |
| Downloads: | 000205507 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2604285
Registration ID:211637
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: c85-c89 Country: Namakkal, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604285 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604285 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||