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Predictive Maintenance model for Electric Vehicles using IoT

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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


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