4.8 Article

A passive wireless triboelectric sensor via a surface acoustic wave resonator (SAWR)

期刊

NANO ENERGY
卷 78, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.nanoen.2020.105307

关键词

Passive wireless; Triboelectric sensor; Surface acoustic wave resonator

资金

  1. National Natural Science Foundation of China [51675069]
  2. Fundamental Research Funds for the Central Universities [2018CDQYGD0020, cqu2018CDHB1A05]
  3. Scientific and technological research program of Chongqing municipal education commission [KJ1703047]
  4. Natural Science Foundation Projects of Chongqing [cstc2017shmsA40018, cstc2018jcyjAX0076]

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With the development of the Internet of Things (IoT), the requirement of wireless sensing operations is becoming increasingly desirable. Most of the current active wireless sensors require external power suppliers and complex active circuits, which limits their applications. A passive wireless sensor is a desired alternative. Hence, a passive wireless triboelectric sensor (PWTES) without active electronic components, a battery, or an energy harvester is proposed to meet the further demand for wireless monitoring. The key component of the PWTES is a surface acoustic wave resonator (SAWR). The sensing signal generated by the triboelectric nanogenerator (TENG) is applied to modulate the SAWR's response signal via a tuning network. A designed reader interrogates the SAWR and receives its response via the radiofrequency link, then demodulation is performed on the SAWR's response to obtain the sensing signal. Employing the designed PWTES, a wireless pressure sensor without a battery and an energy harvester is successfully demonstrated. The PWTES exhibited the wireless transmission of a sensing signal over a distance of 2 m, a sensitivity of 23.75 kHz/V within the TENG's voltage range of 0-5 V, and a measurement update rate of 12 kHz. The PWTES makes full use of the advantages of the TENG in sensing, and the properties of the SAWR in wireless communication, holding great potential for the miniaturization, integration, and continuous monitoring of wireless sensors in the era of the IoT.

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