Year: 2025
Type: article
Abstract: This paper proposes a hybrid powered internet of things (IoT) system for monitoring the condition of brushless DC Motors (BLDC) in electric vehicles (EVs). This IoT system has been designed and developed using a hybrid energy storage system that helps to enhance the life span of motor and battery. This system employs a range of sensors, including load, vibration, temperature, voltage and current sensors integrated with an Arduino UNO and ESP8266 microcontroller. These components gather real time data from motors side and transmitted to the cloud server. The IoT system ensures that the system is capable of capturing and reporting vital motor parameters to the cloud server and an automatic notification is sent to operators when Motors abnormality is detected. An effective BLDC motor monitoring system can be achieved by early monitoring with instant notification to operators. The main benefits are cost reduction of maintenance, increased reliability, optimised motor performances and improved overall efficiency of the system.
Author: Arindam Ghorai
Institution: Elitte College of Engineering
Language: English
Topic: Arduino and IoT Applications
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408409171