The main objective is to develop an IoT-based system for real-time monitoring of electric vehicle battery metrics to enhance safety and lifespan. It uses predictive analytics for early warnings and optimized charging, with remote monitoring through a custom dashboard to improve performance and maintenance.
This project presents an IoT-based electric vehicle battery monitoring system using Arduino, LCD, current sensor, voltage sensor, ultrasonic sensor, temperature sensor, potentiometer, NodeMCU, buzzer, and LED indicators. The system continuously monitors key battery parameters such as voltage, current, and temperature in real time. The data is displayed on an LCD and sent to an IoT platform through NodeMCU for remote monitoring. When the battery voltage drops below a threshold, the system automatically turns off LEDs and activates a buzzer alert. The system provides a low-cost and efficient solution for real-time battery health monitoring and safety management in electric vehicles.
Keywords: Arduino, IoT, Electric Vehicle, Battery Monitoring, Voltage Sensor, NodeMCU.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

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