International Research Journal of Education and Technology

In order to improve operational reliability, safety, and sustainability, the rise of electric vehicles (EVs) has made the development of intelligent systems for effective monitoring and control of vehicle parameters necessary. Using a comprehensive architecture that combines on-board sensors, a microcontroller gateway, cloud-based platforms, and user interfaces, this work introduces an Internet of Things-based monitoring and control system for electric vehicles. Critical parameters like battery health, temperature, speed, GPS location, and motor efficiency are continuously measured by sensors integrated into the car. Wireless communication is used to send data to a microcontroller, which acts as a gateway and sends the combined data to a cloud platform for additional analysis.

Predictive maintenance, intelligent energy management, and quick anomaly detection are made possible at the cloud level by AI-driven decision logic and data analytics that interpret real-time data streams. Through a mobile/web interface, the system gives users access to real-time vehicle data, commands for remote control, and actionable alerts. Moreover, actuators on the car carry out remote commands sent through the app interface, allowing safe operations like locking and unlocking or starting charging sessions. The increasing demands for safe and sustainable electric mobility are supported by this layered IoT architecture, which guarantees smooth communication, real time monitoring, and effective control. In the age of electric vehicles, the approach shown in the suggested block diagram shows how linked sensors, cloud intelligence, and user-centric control work together to create smarter automotive solutions.

Key Words: Real time monitoring, Battery health, Internet of things, cloud-based platform, wireless communication, GPS tracking, Microcontrollers, Energy management