Design and Implementation of Novel Testing System for Intelligent Tire Development: From Bench to Road.

Area of Science:

• Automotive Engineering
• Sensor Technology
• Vehicle Dynamics

Background:

• Intelligent tire technology enhances vehicle safety and performance through real-time monitoring.
• Current testing methods lack integrated bench and road frameworks, hindering development.

Purpose of the Study:

• To introduce a novel, comprehensive testing system for the full lifecycle development of intelligent tire technologies.
• To validate the system's effectiveness using accelerometer and strain-based sensing.

Main Methods:

• Developed a modular system with an instrumented wheel, tire sensors, wheel force transducer (WFT), and vehicle sensors.
• Utilized a high-precision data acquisition platform (NI CompactRIO) with sampling rates up to 50 kHz.
• Applied the system to a tire vertical load estimation study, comparing sensor types and installation positions.

Main Results:

• Experimental results confirmed accelerometers offer higher accuracy for vertical load estimation.
• Validated developed estimation algorithms and the intelligent tire product through road condition assessments.
• Demonstrated the system's functionality, performance, and reliability across development stages.

Conclusions:

• The novel testing system supports the complete development cycle of intelligent tires.
• It provides a versatile and reliable platform for advancing intelligent tire research and industrial applications.
• The system successfully validated accelerometer-based vertical load estimation methods.