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

Author

Listed:
  • Deepam Maurya

    (Virginia Tech
    Virginia Tech)

  • Seyedmeysam Khaleghian

    (Texas State University)

  • Rammohan Sriramdas

    (Penn State University)

  • Prashant Kumar

    (Virginia Tech)

  • Ravi Anant Kishore

    (Virginia Tech
    National Renewable Energy Laboratory)

  • Min Gyu Kang

    (Penn State University)

  • Vireshwar Kumar

    (Virginia Tech
    Indian Institute of Technology Delhi)

  • 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
    Virginia Tech)

  • Shashank Priya

    (Penn State University)

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.

Suggested Citation

  • 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 , 2020. "3D printed graphene-based self-powered strain sensors for smart tires in autonomous vehicles," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19088-y
    DOI: 10.1038/s41467-020-19088-y
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    Cited by:

    1. Sang-Joon Ahn & Howon Lee & Kyu-Jin Cho, 2024. "3D printing with a 3D printed digital material filament for programming functional gradients," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Zhou Yu & Jie Zhao & Yinfeng Hua & Xiaoying Li & Qincheng Chen & Guoqing Shen, 2021. "Optimization of Granulation Process for Binder-Free Biochar-Based Fertilizer from Digestate and Its Slow-Release Performance," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
    3. Wang, Zhixia & Du, Hongzhi & Wang, Wei & Zhang, Qichang & Gu, Fengshou & Ball, Andrew D. & Liu, Cheng & Jiao, Xuanbo & Qiu, Hongyun & Shi, Dawei, 2024. "A high performance contra-rotating energy harvester and its wireless sensing application toward green and maintain free vehicle monitoring," Applied Energy, Elsevier, vol. 356(C).
    4. Zhao, Lin-Chuan & Zou, Hong-Xiang & Zhao, Ying-Jie & Wu, Zhi-Yuan & Liu, Feng-Rui & Wei, Ke-Xiang & Zhang, Wen-Ming, 2022. "Hybrid energy harvesting for self-powered rotor condition monitoring using maximal utilization strategy in structural space and operation process," Applied Energy, Elsevier, vol. 314(C).

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