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Analysis and Design of Wearable Electronics Based on Energy Harvesting and Storage

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Book cover Cyber Security Intelligence and Analytics (CSIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1342))

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Abstract

With the rapid development of intelligent products, wearable electronics show great potential to replace traditional electronics. With the increasingly perfect functions of wearable electronics, the energy storage and supply of these products are receiving more and more attention from the whole field. In this paper, a triboelectric nanogenerator based on electrostatic spinning technology is proposed (EPF-TENG), and an electrostatic spinning fiber supercapacitor (EPF-SC) is constructed, which are combined into a self-charging system (EPF-TENG-SC). As an independent technology black box module, this system can be directly imported into the wearable electronic product system to interact and combine with other product component modules. The EPF-TENG-SC has been shown to be able to be used for sustainable power supply of wearable electronics.

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Acknowledgements

This aricle is funded by the College Studens’ Inovation and Entrepreneurship Training Program (school level).

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Authors and Affiliations

  1. Information and Control Engineering School, Shenyang Jianzhu University, Shenyang, China

    Qinqin Huang & Jie Dong

Authors
  1. Qinqin Huang
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  2. Jie Dong
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Corresponding author

Correspondence to Jie Dong .

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Editors and Affiliations

  1. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  2. Department Software Engineering and Game Development, Kennesaw State University, Marietta, GA, USA

    Reza M. Parizi

  3. School of Engineering and Sciences, Tecnologico de Monterrey, Puebla, Mexico

    Octavio Loyola-González

  4. Assistant Professor in Practice, University of Texas at San Antonio, Boerne, TX, USA

    Xiaolu Zhang

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Huang, Q., Dong, J. (2021). Analysis and Design of Wearable Electronics Based on Energy Harvesting and Storage. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_45

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