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HVS-4646. IoT - Vehicle Accident Detection E-Vehicle BMS with charge Monitoring Fire Protection
HVS-4646. IoT - Vehicle Accident Detection E-Vehicle BMS with charge Monitoring Fire Protection
HVS-4646. IoT - Vehicle Accident Detection E-Vehicle BMS with charge Monitoring Fire Protection

HVS-4646. IoT - Vehicle Accident Detection E-Vehicle BMS with charge Monitoring Fire Protection

₹11,000.00

This project proposes a smart BMS for electric vehicles using an Arduino UNO microcontroller to monitor key battery parameters such as voltage, current, and temperature. The system integrates multiple sensors along with safety features like fire detection and accident detection using a MEMS sensor. In case of an accident, the GPS and GSM modules are used to track the vehicle location and send alert messages to predefined contacts.

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The growing importance of green energy has made electric vehicles (EVs) a sustainable solution for modern transportation. Lithium-ion batteries are widely used in EVs due to their high energy density; however, they require operation within a safe operating area (SOA). Hence, a Battery Management System (BMS) is essential to ensure safety, reliability, and efficient performance. This project proposes a smart BMS for electric vehicles using an Arduino UNO microcontroller to monitor key battery parameters such as voltage, current, and temperature. The system integrates multiple sensors along with safety features like fire detection and accident detection using a MEMS sensor. In case of an accident, the GPS and GSM modules are used to track the vehicle location and send alert messages to predefined contacts. Additionally, the system enables real-time monitoring by displaying parameters on an LCD and uploading data (voltage, current, temperature, location, and time) to the ThingSpeak cloud via an ESP8266 Wi-Fi module. An ultrasonic sensor is used for obstacle detection, and alerts are provided through a buzzer and display. Overall, the proposed system ensures safe battery operation, real-time monitoring, and enhanced vehicle safety through IoT and embedded technologies, making it suitable for advanced electric vehicle applications.  

The main objectives of this project are:
  • To design a smart IoT-based system for automatic vehicle accident detection.
  • To develop a rescue alert mechanism that sends location and emergency messages using GPS and GSM.
  • To implement a Battery Management System (BMS) for monitoring EV battery parameters like voltage, current, and temperature.
  • To ensure safe battery operation by preventing overcharging, overheating, and overcurrent conditions.
  • To integrate real-time data monitoring using IoT (ESP8266 with ThingSpeak).
  • To design a charger monitoring system for efficient battery charging control.
  • To display system parameters and alerts using an LCD and buzzer.
  • To detect vehicle accidents using MEMS sensor and trigger immediate response.
  • To enhance vehicle safety with additional sensors like fire and obstacle detection.
  • To develop a low-cost, reliable, and user-friendly system for smart electric vehicles.
    The major building blocks of this project are:
  • Li-ION Battery.
  • LM2596.
  • ARDUINO UNO Microcontroller.
  • Temperature sensor.
  • Voltage sensor.
  • Current sensor.
  • Charging Circuit.
  • LCD display.
  • MEMS sensor.
  • Fire sensor.
  • Ultrasonic sensor.
  • Buzzer.
  • GSM.
  • GPS.
  • ESP8266 WI-FI module.
  • DC motor (vehicle).
  Software’s used:
  • Embedded C programming.
  • Arduino UNO for dumping code into Micro controller.
  • Express SCH for Circuit design.
   

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