3D Printed Graphene-Based Self-Powered Strain Sensors for Smart Tires in Autonomous Vehicles: Article No. 5392

Deepam Maurya, Seyedmeysam Khaleghian, Rammohan Sriramdas, Prashant Kumar, Ravi Kishore, Min Kang, Vireshwar Kumar, Hyun-Cheol Song, Seul-Yi Lee, Yongke Yan, Jung-Min Park, Saied Taheri, Shashank Priya

Research output: Contribution to journalArticlepeer-review

73 Scopus Citations

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.
Original languageAmerican English
Number of pages10
JournalNature Communications
Volume11
DOIs
StatePublished - 2020

NREL Publication Number

  • NREL/JA-5500-77921

Keywords

  • 3D printing
  • energy harvesting
  • graphene
  • smart tires
  • strain sensor

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