|
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter
Copyright Infringement Claims
Indexing Partner
|
Published Paper Details
|
|
| Paper Title: | IoT Based Smart Diagnosis in EVs (Electric Vehicles) |
| Authors Name: | Salu K Binu , Sona Saji , Haarrish Sabu |
| Unique Id: | IJSDR2303233 |
| Published In: | Volume 8 Issue 3, March-2023 |
| Abstract: | Abstract: Electric vehicles (EVs) are becoming increasingly popular due to their environmental benefits and cost savings.However,the complexity of the EV powertrain and its components can make it difficult to diagnose and repair problems.This paper proposes an IoT based smart diagnosis system foe EVs that uses sensors and data analysis to detect and diagnose faults in the EV powertrain.The system uses sensors to collect data from the EV powertrain and then uses machine learning algorithms to analyze the data and detect any anomalies.Internet of Things (IoT) technology to develop a smart diagnosis system for electric vehicles. The system would use sensors to detect and diagnose faults in the vehicle's electrical system, and provide real-time feedback to the driver. The system would be able to detect and diagnose faults in the vehicle's electrical system, and provide real-time feedback to the driver. The system would also be able to detect and diagnose faults in the vehicle's mechanical system.The Internet of Things (IoT) has revolutionized the way we interact with the world around us. It has enabled us to connect with physical objects and systems in ways that were previously impossible. This has opened up a world of possibilities for the automotive industry, particularly in the area of electric vehicles. This paper will discuss the potential of using IoT-based smart diagnosis in electric vehicles. |
| Keywords: | Keywords: Implementation of smart vehicle,Battery Management System, Smart Driving, Battery Usage Data. |
| Cite Article: | "IoT Based Smart Diagnosis in EVs (Electric Vehicles)", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 3, page no.1382 - 1383, March-2023, Available :http://www.ijsdr.org/papers/IJSDR2303233.pdf |
| Downloads: | 000337354 |
| Publication Details: | Published Paper ID: IJSDR2303233 Registration ID:204961 Published In: Volume 8 Issue 3, March-2023 DOI (Digital Object Identifier): Page No: 1382 - 1383 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijsdr.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 |
Track Paper
Important Links
Conference Proposal
ISSN
 |
 |
DOI (A digital object identifier)
  Providing A digital object identifier by DOI How to GET DOI and Hard Copy Related |
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
 |
 |
 |
Social Media
Indexing Partner |
|||
| Copyright © 2024 - All Rights Reserved - IJSDR | |||
Facebook Twitter Instagram LinkedIn