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HVS-4831. EV Test Rig - Battery and motor Efficiency, Torque and Speed monitoring through IoT Thingspeak

75,000.00

NOTE: The price mentioned is excluding shipping charges.

The project titled "Fabrication of an Electric Vehicle (EV) Test Rig" aims to develop a versatile system for real-time testing and performance evaluation of electric vehicle components, focusing primarily on the battery and motor assembly. This test rig is designed to measure and display critical parameters that define the efficiency and effectiveness of an EV powertrain. At the heart of the system is an Arduino UNO microcontroller, which coordinates the acquisition and processing of various sensor data. A 1000-watt BLDC motor powers the setup, with its speed monitored by an Infrared (IR) sensor acting as a speed sensor. The voltage sensor tracks the battery voltage, while a temperature sensor (LM35) measures the battery temperature, ensuring thermal safety during operation. Additionally, the system calculates essential performance metrics such as battery efficiency, power consumption (watts), motor shaft weight, torque, and speed. All real-time readings are displayed on an LCD screen for immediate observation and are also transmitted wirelessly via an ESP8266 Wi-Fi module to the ThingSpeak IoT platform. This allows for continuous remote monitoring, data logging, and performance analysis. Visual operational feedback is provided through an LED indicator. This EV test rig offers an effective solution for academic research, component testing, and prototype validation, enabling detailed analysis of powertrain performance under various load conditions. The project promotes the development of efficient, reliable, and scalable electric vehicle technologies.    

The major building blocks of this project are:
  1. Battery Power supply.
  2. Arduino UNO.
  3. Voltage sensor.
  4. Temperature sensor.
  5. LED indicators.
  6. ESP8266 Wi-Fi module.
  7. LCD display.
  8. Pedal accelerator.
  9. BLDC motor controller.
  10. 1000-watt BLDC
  11. Current sensor.
  12. IR sensor.
  Software’s used in the project:  
  1. ARDUINO IDE compiler for Embedded C programming.
  2. Express SCH for Circuit design.
  3. Thingspeak technology.
      Regulated Power Supply:

       

Block Diagram:

     

video: