dc.contributor.author |
Ahangama, Janitha |
|
dc.date.accessioned |
2025-06-09T07:56:30Z |
|
dc.date.available |
2025-06-09T07:56:30Z |
|
dc.date.issued |
2024 |
|
dc.identifier.citation |
Ahangama, Janitha (2024) Predictive Maintenance model for Electric Vehicles using IoT. BSc. Dissertation, Informatics Institute of Technology |
en_US |
dc.identifier.issn |
2019910 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/2486 |
|
dc.description.abstract |
This research paper addresses the problem of developing a predictive maintenance system for electric vehicles using IoT technology. The increasing adoption of electric vehicles necessitates effective maintenance strategies to ensure their reliable performance and longevity. However, traditional maintenance approaches often lack proactive capabilities, leading to inefficient utilization of resources and increased downtime. Therefore, this research aims to develop a predictive maintenance system that leverages IoT sensor data to anticipate and prevent potential maintenance issues in electric vehicles. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
Internet of Things |
en_US |
dc.subject |
Electric Vehicles |
en_US |
dc.subject |
Real-time |
en_US |
dc.subject |
Predictive Maintenance |
en_US |
dc.title |
Predictive Maintenance model for Electric Vehicles using IoT |
en_US |
dc.type |
Thesis |
en_US |