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Low-frequency wide-band hybrid energy harvester based on piezoelectric and triboelectric mechanism

Science China(Technological Sciences) 2013年第8期56卷 1835-1841页

作者： HAN MengDi ZHANG XiaoSheng LIU Wen SUN XuMing PENG XuHua ZHANG HaiXia National Key Laboratory of Science and Technology on Micro/Nano Fabrication Institute of MicroelectronicsPeking University Peking University Shenzhen Graduate School

Recently,hybrid energy harvester has been considered as an attractive potential approach to response the worldwide energy crisis due to the combination of advantages from different harvesting *** this paper,a novel low-frequency wide-band hybrid energy harvester based on piezoelectric and triboelectric mechanism is presented and systematically studied including structural design,fabrication process,working principle simulation and *** a vibrational excitation,the polyvinylidene fluoride(PVDF) cantilevers will vibrate and impact the polydimethylsiloxane(PDMS) film on the substrate,producing a piezoelectric output as well as a triboelectric *** structural parameters of each cantilever are optimized using finite element simulation,and the well-designed PVDF cantilevers with controllable PDMS mass not only reduce the device working frequency but also enlarge the *** a sweep-frequency test,three voltage peaks induced by the piezoelectric part are observed at 15,32.5 and 47.5 Hz,with the value of 320,288 and 264 mV,*** the combined triboelectric part,a 20 V peak-peak voltage is generated at 15 *** electrical driving ability of this hybrid energy harvester also has been demonstrated by lighting up a commercial light emitting diode(LED).

关键词： hybrid energy harvester piezoelectricity triboelectric nanogenerator low-frequency wide-band

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Sparse identification method of extracting hybrid energy harvesting system from observed data

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Chinese Physics B 2022年第12期31卷 28-39页

作者： Ya-Hui Sun Yuan-Hui Zeng Yong-Ge Yang School of Mathematics and Statistics Guangdong University of TechnologyGuangzhou 510520China State Key Laboratory for Strength and Vibration of Mechanical Structures Xi’an Jiaotong UniversityXi’an 710049China

hybrid energy harvesters under external excitation have complex dynamical behavior and the superiority of promoting energy harvesting ***,it is difficult to model the governing equations of the hybrid energy harvesting system precisely,especially under external *** with machine learning,data-driven methods play an important role in discovering the governing equations from massive ***,there are many studies of datadriven models done in aspect of ordinary differential equations and stochastic differential equations(SDEs).However,few studies discover the governing equations for the hybrid energy harvesting system under harmonic excitation and Gaussian white noise(GWN).Thus,in this paper,a data-driven approach,with least square and sparse constraint,is devised to discover the governing equations of the systems from observed ***,the algorithm processing and pseudo code are ***,the effectiveness and accuracy of the method are verified by taking two examples with harmonic excitation and GWN,*** harmonic excitation,all coefficients of the system can be simultaneously *** GWN,we approximate the drift term and diffusion term by using the Kramers-Moyal formulas,and separately learn the coefficients of the drift term and diffusion ***-validation(CV)and mean-square error(MSE)are utilized to obtain the optimal number of ***,the comparisons between true values and learned values are depicted to demonstrate that the approach is well utilized to obtain the governing equations for the hybrid energy harvester under harmonic excitation and GWN.

关键词： data-driven hybrid energy harvester harmonic excitation Gaussian white noise

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A hybrid Biofuel and Triboelectric Nanogenerator for Bioenergy Harvesting

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Nano-Micro Letters 2020年第4期12卷 53-64页

作者： Hu Li Xiao Zhang Luming Zhao Dongjie Jiang Lingling Xu Zhuo Liu Yuxiang Wu Kuan Hu Ming‑Rong Zhang Jiangxue Wang Yubo Fan Zhou Li Beijing Advanced Innovation Centre for Biomedical Engineering Key Laboratory for Biomechanics and Mechanobiology of Chinese Education MinistrySchool of Biological Science and Medical EngineeringBeihang UniversityBeijing 100083People’s Republic of China CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro‑Nano Energy and SensorBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 100083People’s Republic of China School of Nanoscience and Technology University of Chinese Academy of SciencesBeijing 100049People’s Republic of China School of Physical Education Jianghan UniversityWuhan 430056People’s Republic of China Center on Nanoenergy Research School of Physical Science and TechnologyGuangxi UniversityNanning 530004People’s Republic of China Department of Radiopharmaceuticals Development National Institute of Radiological SciencesNational Institutes for Quantum and Radiological Science and TechnologyChiba 263‑8555Japan

Various types of energy exist everywhere around us,and these energies can be harvested from multiple sources to power micro-/nanoelectronic system and even personal electronic *** this work,we proposed a hybrid energy-harvesting system(HEHS)for potential in vivo *** HEHS consisted of a triboelectric nanogenerator and a glucose fuel cell for simultaneously harvesting biomechanical energy and biochemical energy in simulated body *** two energy-harvesting units can work individually as a single power source or work simultaneously as an integrated *** design strengthened the flexibility of harvesting multiple energies and enhanced corresponding electric *** with any individual device,the integrated HEHS outputs a superimposed current and has a faster charging *** the harvested energy,HEHS can power a calculator or a green light-emitting diode *** the widely existed biomechanical energy and glucose molecules in the body,the developed HEHS can be a promising candidate for building in vivo self-powered healthcare monitoring system.

关键词： Self-powered Triboelectric nanogenerator Glucose fuel cell hybrid energy harvester Bioenergy

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