3D printed graphene-based self-powered strain sensors for smart tires in autonomous vehicles

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, Saied Taheri () and Shashank Priya ()
Additional contact information
Deepam Maurya: Virginia Tech
Seyedmeysam Khaleghian: Texas State University
Rammohan Sriramdas: Penn State University
Prashant Kumar: Virginia Tech
Ravi Anant Kishore: Virginia Tech
Min Gyu Kang: Penn State University
Vireshwar Kumar: Virginia Tech
Hyun-Cheol Song: Korea Institute of Science and Technology (KIST)
Seul-Yi Lee: Virginia Tech
Yongke Yan: Penn State University
Jung-Min Park: Virginia Tech
Saied Taheri: Virginia Tech
Shashank Priya: Penn State University

Nature Communications, 2020, vol. 11, issue 1, 1-10

Abstract: Abstract The transition of autonomous vehicles into fleets requires an advanced control system design that relies on continuous feedback from the tires. Smart tires enable continuous monitoring of dynamic parameters by combining strain sensing with traditional tire functions. Here, we provide breakthrough in this direction by demonstrating tire-integrated system that combines direct mask-less 3D printed strain gauges, flexible piezoelectric energy harvester for powering the sensors and secure wireless data transfer electronics, and machine learning for predictive data analysis. Ink of graphene based material was designed to directly print strain sensor for measuring tire-road interactions under varying driving speeds, normal load, and tire pressure. A secure wireless data transfer hardware powered by a piezoelectric patch is implemented to demonstrate self-powered sensing and wireless communication capability. Combined, this study significantly advances the design and fabrication of cost-effective smart tires by demonstrating practical self-powered wireless strain sensing capability.

Date: 2020
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DOI: 10.1038/s41467-020-19088-y

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