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
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.
"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:
000337356
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
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