2020
DOI: 10.1002/admt.201900917
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Bioinspired Helical Triboelectric Nanogenerators for Energy Conversion of Motion

Abstract: lithium-ion batteries, such as low life, serious pollution, and low safety, have always plagued the development of intelligent wearable devices and intelligent devices. If the energy module of smart wearable devices explodes, the apparent harm is conceivable. [10][11][12] Therefore, the development of a safe and lightweight energy source is urgently necessary. Given the rapid development of the integrated circuits (IC) and low power sensors, the power requirement of smart wearable electronic devices has been r… Show more

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Cited by 9 publications
(9 citation statements)
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References 29 publications
(43 reference statements)
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“…Except the materials and the microstructure modification of the friction layer, [10][11][12][13][14] the structure design is also an effective method. Li et al [15] fabricated a helical TENG with the inspiration of DNA structure and obtained a power density (PD) of 0.44 W m −2 . A TENG with 12 pairs of fraction layers was proposed by Tian et al, [16] and the PD was 1.95 W m −2 .…”
Section: Flexible and Extendable Honeycomb-shaped Triboelectric Nanogenerator For Effective Human Motion Energy Harvesting And Biomechanimentioning
confidence: 99%
“…Except the materials and the microstructure modification of the friction layer, [10][11][12][13][14] the structure design is also an effective method. Li et al [15] fabricated a helical TENG with the inspiration of DNA structure and obtained a power density (PD) of 0.44 W m −2 . A TENG with 12 pairs of fraction layers was proposed by Tian et al, [16] and the PD was 1.95 W m −2 .…”
Section: Flexible and Extendable Honeycomb-shaped Triboelectric Nanogenerator For Effective Human Motion Energy Harvesting And Biomechanimentioning
confidence: 99%
“…The way energy is used determines the height of civilization. With the continuous exploration of energy, the deepening of research level, and the enrichment of research content, a series of new energy technologies such as wind power generation, solar power generation, and controllable nuclear fusion have been studied. However, when people try to find reliable and safe energy sources in the outside world, they ignore that humans themselves can be used as a natural energy source. , Hence, in order to solve this problem, more and more researchers continue to pay attention to the low-frequency energy that is closely related to human life and even neglected by human beings. Triboelectric nanogenerator (TENG) technology has been successfully used to harvest and harness this weak energy. At the same time, compared with traditional energy sources, TENGs have the advantages of efficient utilization of low-frequency energy, diversity of materials, a high safety factor, and wide energy sources. It can not only reduce environmental pollution but also alleviate the energy crisis to a large extent. , In addition, due to the increasing demand for wearable electronic devices, TENGs have great application prospects in human–computer interaction, electronic skin, and digital medicine …”
Section: Introductionmentioning
confidence: 99%
“…1−4 However, when people try to find reliable and safe energy sources in the outside world, they ignore that humans themselves can be used as a natural energy source. 5,6 Hence, in order to solve this problem, more and more researchers continue to pay attention to the low-frequency energy that is closely related to human life and even neglected by human beings. Triboelectric nanogenerator 7 successfully used to harvest and harness this weak energy.…”
Section: Introductionmentioning
confidence: 99%
“…Regarded as one of the most important energy sources, the use of wind energy is also more suitable for energy supply at night or in a cloudy environment, [ 19 ] and even more energy can be obtained than during the day. At present, the most significant wind energy acquisition mechanisms include triboelectric, [ 20–23 ] piezoelectric, [ 24–27 ] magnetoelectric, and other forms. Since first reported by Wang et al.…”
Section: Introductionmentioning
confidence: 99%