This paper presents a novel tire-integrated system combining 3D printed graphene-based strain gauges, a flexible piezoelectric energy harvester, secure wireless data transfer electronics, and machine learning for predictive data analysis. The system enables continuous monitoring of tire-road interactions, addressing the need for advanced control systems in autonomous vehicles. Cost-effective 3D printing and self-powered sensing capabilities are key advantages.
Publisher
NATURE COMMUNICATIONS
Published On
Jun 08, 2020
Authors
Deepam Maurya, Seyedmeysam Khaleghian, Rammohan Sriramdas, Prashant Kumar, Ravi Anant Kishore, Min Gyu Kang, Vireshwar Kumar, Hyun-Cheol Song, Seul-Yi Lee, Yongke Yan, Jung-Min Park, Saeid Taheri, Shashank Priya
Tags
tire-road interactions
3D printing
graphene
energy harvesting
machine learning
autonomous vehicles
data transfer
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