2020
DOI: 10.1002/adfm.202002547
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A Motion Vector Sensor via Direct‐Current Triboelectric Nanogenerator

Abstract: Motion vector sensors play an important role in artificial intelligence and internet of things. Here, a triboelectric vector sensor (TVS) based on a directcurrent triboelectric nanogenerator is reported, for self-powered measuring various motion parameters, including displacement, velocity, acceleration, angular, and angular velocity. Based on the working mechanism of the contact-electrification effect and electrostatic breakdown, a continuous DC signal can be collected to directly monitor moving objects free … Show more

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Cited by 80 publications
(52 citation statements)
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“…Triboelectric nanogenerator (TENG) has demonstrated its potential applications to harvest distributed mechanical energy for powering distributed sensor networks in the era of Internet of things. [1][2][3][4][5] On the basis of mechanical motion types, TENG can be mainly classified into four basic types, including contact-separation TENG, [6,7] single-electrode TENG, [8] sliding TENG, [9,10] and free-standing TENG (FS-TENG), [11] which can be briefly divided into contact-separation-mode TENG (including contact-separation TENG and single-electrode TENG) and slidingmode TENG (including sliding TENG and FS-TENG). Compared with contactseparation-mode TENG, sliding-mode TENG has been identified as a more efficiency technology in harvesting mechanical energy from ambition environment due to its features of easy package, higher charge transfer efficiency, [12,13] which is promising toward practical applications.…”
Section: Introductionmentioning
confidence: 99%
“…Triboelectric nanogenerator (TENG) has demonstrated its potential applications to harvest distributed mechanical energy for powering distributed sensor networks in the era of Internet of things. [1][2][3][4][5] On the basis of mechanical motion types, TENG can be mainly classified into four basic types, including contact-separation TENG, [6,7] single-electrode TENG, [8] sliding TENG, [9,10] and free-standing TENG (FS-TENG), [11] which can be briefly divided into contact-separation-mode TENG (including contact-separation TENG and single-electrode TENG) and slidingmode TENG (including sliding TENG and FS-TENG). Compared with contactseparation-mode TENG, sliding-mode TENG has been identified as a more efficiency technology in harvesting mechanical energy from ambition environment due to its features of easy package, higher charge transfer efficiency, [12,13] which is promising toward practical applications.…”
Section: Introductionmentioning
confidence: 99%
“…Besides, a triboelectric vector sensor (TAS) based on this mode DC-TENG was reported by Yin et al. in a recent paper ( Figure 12 B(i)) ( Yin et al., 2020 ). According to the experimental and theory analysis, they found that the TAS can realize probing multiple physical quantities in a self-powered manner, such as displacement, velocity, acceleration, angle, and angular velocity as shown in Figures 12 B(ii)–12B(v).…”
Section: Dc-tengmentioning
confidence: 92%
“…Furthermore, it can be further considered as a prototype of lighting energy harvesting. In addition, it has been demonstrated for mechanical energy harvesting combining with the conventional AC-TENG to enhance the final energy output and self-powered sensor for measuring various motion parameters, showing great potential for application in energy and sensing ( Yin et al., 2020 ; Zhou et al., 2020a ).…”
Section: Dc-tengmentioning
confidence: 99%
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“…The output characteristic of MDC-TENG shows a good correlation with the vector motion parameters (e.g., distance, velocity and acceleration), which is the basis of motion vector sensor. In addition, the size of MDC-TENG can be further miniaturized, while the high output performance ensures the strength and anti-interference of sensing signals 32 . Thus, the MDC-TENG shows great potential in the applications on MEMS as the motion vector sensor unit.…”
Section: Performance Of Mdc-teng Under Different Vector Motion Paramementioning
confidence: 99%