摩擦电效应
纳米发生器
材料科学
机械能
电场
工作(物理)
电压
流离失所(心理学)
能量转换
电势能
电
过程(计算)
能量转换效率
功率(物理)
光电子学
计算机科学
电气工程
机械工程
物理
工程类
心理学
量子力学
复合材料
心理治疗师
热力学
操作系统
作者
Jiajia Shao,Yi Yang,Yang Ou,Jie Wang,Morten Willatzen,Zhong Lin Wang
标识
DOI:10.1002/aenm.202100065
摘要
Abstract A triboelectric nanogenerator (TENG) is an effective means for the conversion of mechanical energy into electricity. Although Maxwell's displacement current is the underline mechanism of TENGs, the spatial and temporal variations of the electric field and electric displacement remain elusive, which prohibits an effective optimization of the energy conversion process. Here, the electric field distribution and energy dynamics of TENGs is determined using 3D mathematical modeling. The electrical energies stored in TENGs and extracted into the external circuit are calculated quantitatively whereby the ratio of the two, defined as the output efficiency, is obtained. Then, the power density and energy density of TENGs are defined. Utilizing the principle of virtual work, the minimum required external force–time relationship is evaluated. The influence of device parameters, geometry, and optimum conditions are discussed systematically so as to determine general optimization guidelines for TENGs. In addition, although the fringing electric field is practically inevitable, adjustments of the gap distance between neighboring TENG devices to assure that an optimized fringing electric field is “leaked”, is demonstrated to lead to improvement in a TENG array. Then, for the first time, this work presents universal design rules and holistic optimization strategies for the network structure of TENGs.
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