Study of an inertial piezoelectric energy harvester from a backpack

Chen, Fu; He, Ming; Wang, Sheng; Zhong, Xiang; Guan, Mingjie

doi:10.1080/00150193.2019.1652513

Cited by 11 publications

(5 citation statements)

References 18 publications

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“…[118] Shi [34] designed a loaded backpack based on fluidic drive technology that converts human-related mechanical energy into hydraulic energy, providing a new avenue for research. Chen [119] has designed an energy-harvesting backpack using a cantilevered beam structure that converts the excitation of the human movement into the oscillation of a proof mass, which then uses the piezoelectric effect to generate electrical energy. Feenstra et al [120] proposed an energy-harvesting backpack consisting of a mechanically amplified piezoelectric stack.…”

Section: Energy Harvestermentioning

confidence: 99%

See 1 more Smart Citation

Harvesting Inertial Energy and Powering Wearable Devices: A Review

Zhang,

Shen,

Zheng

et al. 2023

Small Methods

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Amidst the swift progression of microelectronics and Internet of Things technology, wearable devices are gradually gaining ground in the domains of human health monitoring. Recently, human bioenergy harvesting has emerged as a plausible alternative to batteries. This paper delves into harvesting human inertial energy that stimulates inertial masses through human motion and then transmutes the motion of the inertial masses into electrical energy. The inertial energy harvester is better suited for low‐frequency and irregular human motion. This review first identifies the sources of human motion excitation that are compatible with inertial energy harvesters and then provides a summary of the operating principles and the comparisons of the commonly used energy conversion mechanisms, including electromagnetic, piezoelectric, and triboelectric transducers. The review thoroughly summarizes the latest advancements in human inertial energy‐harvesting technology that are categorized and grouped based on their excitation sources and mechanical modulation methods. In addition, the review outlines the applications of inertial energy harvesters in powering wearable devices, medical health monitoring, and as mobile power sources. Finally, the challenges faced by inertial energy‐harvesting technologies are discussed, and the review provides a perspective on the potential developments in the field.

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Section: Energy Harvestermentioning

confidence: 99%

mentioning

confidence: 99%

Harvesting Inertial Energy and Powering Wearable Devices: A Review

Zhang,

Shen,

Zheng

et al. 2023

Small Methods

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show abstract

“…[ 63 ] To improve the wearability of the energy harvester, Chen et al explored a backpack energy harvester with piezoelectric transducer, but the power output only achieved 43.64 μW. [ 64 ] With even simpler structure, Chandrasekhar et al attached a freestanding TENG on the backpack to capture the kinetic energy of the COM motion and generate a peak power of 92 μW. [ 65 ] Although introducing smart material‐based transducers to the energy harvester does not significantly compromise the endurance and dexterity of the user, the power generation of such devices is significantly lower than the energy harvesters with electromagnetic transducers.…”

Section: Human Motion‐based Energy Harvesting Systemsmentioning

confidence: 99%

Recent Advances in Human Motion Excited Energy Harvesting Systems for Wearables

et al. 2020

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The development of wearable electronics and sensors is constrained by the limited capacity of their batteries. Therefore, energy harvesting from human motion is explored to provide a promising embedded sustainable power supply for wearable devices. Herein, the principles, development, and applications of human motion excited energy harvesters are reviewed. The energy harvesters are classified based on the human motions with distinguished characteristics: center of mass motion (COM), joint motion, foot strike, and limb swing motion. According to the motion characteristics, the principles, features, and limitations of different energy harvesters are discussed, and the power generation performances are compared. Finally, various self-powered applications enabled by embedded energy harvesters are introduced, so as to show the great potential of embedded energy harvesting systems in boosting the development of the wearables.

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“…Utilizing solar cells or radio frequency to capture ambient energy can be widely seen in multiple current applications (Zhao et al, 2015;Jo and Park, 2021;Sandhu et al, 2021), but a heavy reliance on temporal and spatial conditions significantly reduces the feasibility of these battery-free devices. For such case, the kinetic energy harvesting (KEH), a rapidly growing technology using kinetic energy mostly converted from ambient environment (Platt et al, 2005;Yang B. et al, 2009;Yang et al, 2017, Yang et al, 2009Khameneifar et al, 2012;Wang, 2013;Zhu et al, 2015Zhu et al, , 2014Bae et al, 2014;Haroun et al, 2015;Zhang Y. et al, 2016;Tao et al, 2016;Abdelkareem et al, 2018;Zhou et al, 2019) or human motion (Rome et al, 2005;Bowers and Arnold, 2009;Bai et al, 2013;Hou et al, 2013;Chen et al, 2016;Liu et al, 2018a;Bai et al, 2018;Li et al, 2018;Singh et al, 2018;Wang et al, 2018;Yan et al, 2018;Li C. et al, 2019;Zhao L.-C. et al, 2019;Cai et al, 2019;Chen et al, 2019;Fan et al, 2019;Gao et al, 2019;Khan et al, 2019;Xie et al, 2019), becomes more reliable for motion-powered devices. The state-of-the-art mechanisms of KEH are limited to transductions based on electromagnetic effect (Rome et al, 2005), piezoelectric effect…”

Section: Introductionmentioning

confidence: 99%

Kinetic energy harvesting based sensing and IoT systems: A review

Chen

Gao²,

Liang³

2022

Front.Electron.

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The rapid advance of the Internet of Things (IoT) has attracted growing interest in academia and industry toward pervasive sensing and everlasting IoT. As the IoT nodes exponentially increase, replacing and recharging their batteries proves an incredible waste of labor and resources. Kinetic energy harvesting (KEH), converting the wasted ambient kinetic energy into usable electrical energy, is an emerging research field where various working mechanisms and designs have been developed for improved performance. Leveraging the KEH technologies, many motion-powered sensors, where changes in the external environment are directly converted into corresponding self-generated electrical signals, are developed and prove promising for multiple self-sensing applications. Furthermore, some recent studies focus on utilizing the generated energy to power a whole IoT sensing system. These systems comprehensively consider the mechanical, electrical, and cyber parts, which lead a further step to truly self-sustaining and maintenance-free IoT systems. Here, this review starts with a brief introduction of KEH from the ambient environment and human motion. Furthermore, the cutting-edge KEH-based sensors are reviewed in detail. Subsequently, divided into two aspects, KEH-based battery-free sensing systems toward IoT are highlighted. Moreover, there are remarks in every chapter for summarizing. The concept of self-powered sensing is clarified, and advanced studies of KEH-based sensing in different fields are introduced. It is expected that this review can provide valuable references for future pervasive sensing and ubiquitous IoT.

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Study of an inertial piezoelectric energy harvester from a backpack

Cited by 11 publications

References 18 publications

Harvesting Inertial Energy and Powering Wearable Devices: A Review

Harvesting Inertial Energy and Powering Wearable Devices: A Review

Recent Advances in Human Motion Excited Energy Harvesting Systems for Wearables

Kinetic energy harvesting based sensing and IoT systems: A review

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