4-Wheeler Variable Load HIL EV Test Rig
4-Wheeler Variable Load HIL EV Test Rig - Image 2
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4-Wheeler Variable Load HIL EV Test Rig

SKU EV_001

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Description

Type Hardware-in-the-Loop (HIL) EV Test Rig for 4-Wheeler
Test Component BLDC Inrunner Motor
Material MS
Phase Single Phase
Voltage 220V
The 4 Wheeler HIL (Hardware-in-the-Loop) EV Test Rig is an advanced educational and research-oriented platform designed for simulating, analyzing, and testing electric vehicle drivetrain performance under varying real-world conditions. Equipped with BLDC motor, controllers, differential, load application system, and HIL simulation environment, the rig allows trainees and researchers to study powertrain dynamics, drive cycles, and regenerative braking efficiency in a controlled environment. It combines mechanical loading with electronic simulation, enabling both practical hands-on training and real-time data acquisition.

This system is ideal for EV skill training, academic research, performance validation, and controller development for 2W/3W/4W EV applications.

Key Features

  • Comprehensive EV Drivetrain Simulation: Integrated BLDC motor, controllers, and differential with mechanical loading.
  • Variable Load Application: Ratchet-based loading with roller and 500 kg load cell for realistic drive conditions.
  • Advanced HIL Integration: Unitronics HMI+PLC and Arduino Portenta H7 enable hardware-in-the-loop testing with customizable drive cycles.
  • Drive Cycle Flexibility: Preloaded MIDC, WLTC, Urban Cycle, FTP75, plus user-defined custom drive cycles.
  • Data Acquisition & Analysis: Multi-channel current, voltage, temperature, and torque monitoring with real-time visualization.
  • Scalable I/O and Communication: Supports up to 2,048 I/O points with remote desktop connectivity.
  • Dual Operation Mode: Manual and automatic drive system control for flexible learning.
  • Industry-Grade Safety & Protection: IP20, NEMA1 compliance with high-speed response and isolation.
  • Educational Focus: Designed for skill development in EV performance testing, motor control, battery interfacing, and HIL simulations.

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