The Interactive Electric Two-Wheeler Training System is a hands-on educational platform designed for understanding the operation, control and diagnostics of modern electric two-wheelers.

The system is built on an open-chassis vehicle platform incorporating real EV components such as hub motor, motor controller, battery pack, wiring harness and vehicle electrical subsystems.

Students and trainees can monitor and analyze vehicle parameters using IoT-based data acquisition and remote monitoring tools. The integrated voice command interface allows operation of selected vehicle functions through voice interaction.

 

IES-EV-349

Interactive Electric Two-Wheeler Training System

Electric Two Wheeler Training System is an industry-oriented, interactive platform designed for hands-on learning of electric vehicle drivetrain systems, battery management, motor control, and EV diagnostics.

This system integrates a BLDC hub motor, programmable motor controller, lithium battery with BMS, smart charger, and IoT-enabled monitoring system, enabling learners to study real-time EV performance, parameter analysis, and troubleshooting techniques.

 

TECHNICAL SPECIFICATIONS

• BLDC hub motor based electric two-wheeler drivetrain system
• Programmable motor controller with advanced speed and torque control
• Lithium battery pack with integrated battery management system (BMS)
• Smart charger with protection and automatic cutoff features
• Interactive control panel with accessible wiring and EV display console
• Vehicle electrical components including throttle, lighting and control switches
• Integrated DC-DC converter for auxiliary electrical loads
• IoT-enabled monitoring of motor, battery and controller parameters
• Real-time data acquisition, monitoring and graphical data logging
• Integrated fault simulation module for EV diagnostic training

RANGE OF EXPERIMENTS

• Study of EV motor operation and control methods
• Analysis of motor speed, torque and power characteristics
• Battery behaviour and system performance monitoring
• Controller parameter configuration and tuning
• Data acquisition and performance analysis
• Fault identification and troubleshooting exercises
• Signal measurement and system diagnostics
• Real-time system monitoring and parameter evaluation

FEATURES

• Industry-oriented EV training platform
• Real component-based system architecture
• Interactive learning through practical experiments
• Integrated monitoring and data analysis tools
• Modular design for easy access and maintenance
• Built-in safety and protection mechanisms
• Suitable for engineering and technical education laboratories

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