Abstract :

The Rapid Adoption Of Electric Vehicles (EVs) Has Increased The Demand For Intelligent Motor Monitoring And Control Systems That Can Improve Vehicle Performance, Reliability, And Operational Safety. The Electric Motor Is One Of The Most Critical Components Of An EV, And Its Efficient Operation Directly Influences Energy Consumption, Driving Range, And Overall Vehicle Efficiency. Conventional Motor Monitoring Systems Generally Provide Limited Real-time Information And Lack Remote Accessibility, Making It Difficult To Identify Performance Degradation Or Abnormal Operating Conditions At An Early Stage. Recent Advancements In The Internet Of Things (IoT), Embedded Systems, Wireless Communication, And Cloud Computing Have Enabled The Development Of Smart Monitoring Platforms Capable Of Continuously Supervising Motor Performance From Remote Locations. This Project Presents An EV Motor Parameters Monitoring And Controlling Using IoT Platform. The Proposed System Integrates An Embedded Controller, Voltage, Current, Temperature, And Speed Sensors With An IoT-based Cloud Platform To Continuously Monitor Essential Motor Parameters In Real Time. Sensor Data Are Processed By The Controller And Transmitted To The Cloud Through Wireless Communication, Allowing Users To Visualize Motor Performance Using Web Dashboards Or Mobile Applications. Whenever Abnormal Operating Conditions Such As Overheating, Excessive Current, Overvoltage, Or Abnormal Motor Speed Are Detected, The System Immediately Generates Warning Notifications And Enables Remote Control Actions To Protect The Motor From Damage. The Developed Framework Also Records Historical Operating Data For Performance Analysis And Predictive Maintenance. Experimental Evaluation Demonstrates Accurate Sensor Measurements, Reliable Wireless Communication, Low Response Time, And Effective Remote Monitoring Under Different Operating Conditions. The Proposed IoT-enabled Monitoring System Improves Motor Efficiency, Enhances Operational Safety, Reduces Maintenance Costs, Extends Motor Lifespan, And Supports The Development Of Intelligent, Connected, And Energy-efficient Electric Vehicle Systems. Keywords: Electric Vehicle, IoT, EV Motor Monitoring, Motor Control, Raspberry Pi, Arduino, Cloud Computing, Remote Monitoring, Predictive Maintenance, Smart Transportation.

Published:

06-8-2026

Issue:

Vol. 26 No. 8 (2026)

Page Nos:

703 - 711

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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