Description

IES-EV-352

2-W Electric Vehicle Working Model Training Setup – IES-EV-352

2 Wheeler Electric Vehicle Training System is a practical and industry-relevant platform designed to provide hands-on learning of electric vehicle propulsion, battery systems, motor control, and regenerative braking.

This system features a real EV drivetrain setup including BLDC/PMSM motor, lithium battery, motor controller, and CAN-based data acquisition system, allowing students to understand real-time EV operation, diagnostics, and performance analysis.

It is ideal for EV training labs, engineering colleges, automotive institutes, and skill development centers focusing on electric mobility.

KEY TECHNICAL SPECIFICATIONS

• Traction Motor
  High-efficiency BLDC / PMSM traction motor designed for electric two-wheeler drivetrain operation with configurable voltage levels.
• Motor Controller
  Programmable EV motor controller supporting throttle control, regenerative braking and real-time motor control functions.
• Battery & Energy Storage System
  EV-grade lithium battery pack with integrated battery management system for monitoring voltage, current and temperature parameters.
• Transmission & Drive System
  Direct coupling, chain drive or belt drive arrangement for demonstration of drivetrain power transmission.
• Mechanical Frame Structure
  Open mild-steel powder-coated frame with accessible mounting for motor, controller and battery components.
• Instrumentation & Sensors
  Integrated sensors and digital instrumentation for measurement of voltage, current, torque, speed and temperature.
• Display & Monitoring Interface
  PC-based monitoring interface with CAN communication software along with digital meters mounted on the frame.
• Data Acquisition System
  CAN-based data acquisition system enabling real-time monitoring, logging and diagnostic analysis.
• Safety & Protection System
  Electrical protection including MCB, fuse protection, overload protection and emergency stop switch.

RANGE OF EXPERIMENTS

• Study of electric vehicle propulsion system and energy flow

• Analysis of motor speed, torque and performance characteristics

• Investigation of regenerative braking operation

• Battery performance monitoring and charge behaviour analysis

• Controller throttle response and speed control testing

• Real-time monitoring of electrical and mechanical parameters

• Sensor signal measurement and calibration experiments

• EV drivetrain diagnostics and troubleshooting exercises

FEATURES

• Open learning format with clearly visible EV components

• Real EV drivetrain components for practical training

• CAN-based monitoring and diagnostic capability

• Integrated sensors and digital instrumentation

• Regenerative braking functionality for energy recovery study

• Accessible wiring connections for testing and measurement

• Modular structure for easy maintenance and experimentation

• Built-in safety protection for laboratory operation