Broadband Vibrational Energy Harvesting

宽带振动能量收集

基本信息

  • 批准号:
    1131052
  • 负责人:
  • 金额:
    $ 32.25万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-10-01 至 2015-09-30
  • 项目状态:
    已结题

项目摘要

Energy harvesters are a promising technology for capturing useful energy from the environment or a device's operation. This research will develop and implement a novel energy harvester design for capturing vibrational energy in environments with a broad ambient vibration frequency spectrum. The design uses flexible ceramic piezoelectric elements that produce electricity when mechanically strained, which are in a buckled state at equilibrium. Preliminary experimental results show that a harvester with this design can output appreciable power over a broad range of forcing frequencies, unlike harvesters of vibrational energy based on linear mechanical principles which only give appreciable response if the dominant ambient vibration frequency is close to the resonance frequency of the harvester. The proposed work includes the experimental characterization of this device for periodic and stochastic forcing, plus the development of low- and high-dimensional models that will be analyzed theoretically and computationally. Particular attention will be paid to parameter and forcing regimes for which there is chaotic response, since the preliminary experimental results suggest that this is where the energy harvesting could be maximized. The dependence of the response on parameters will be determined, and multiparameter optimization will be used to identify parameter values for the device for which the energy harvesting is optimized.Vibrational energy harvesters have potential application in a variety of environments which produce considerable vibrational energy, such as automobiles, trains, aircraft, watercraft, machinery, and buildings. Energy harvesters could power auxiliary functions for such systems, for example the wireless transmission of data for system monitoring. Furthermore, many mechanical and electronic systems such as autonomous vehicles and sensor networks require bulky batteries and/or power supplies for their operation. If energy harvesters could be used to provide complete or supplementary power for such systems, they could function with reduced cost and inconvenience of replacing their batteries. This work will also develop a rigorous modeling framework for piezoelectric vibrational energy harvesters which will be beneficial for other researchers working in this and other areas for which both piezoelectric and mechanical effects are important.
能源收割机是一项有前途的技术,可从环境或设备的操作中捕获有用的能量。 这项研究将开发和实施一种新型的能量收割机设计,以捕获具有广泛环境振动频谱的环境中的振动能量。 该设计使用柔性陶瓷压电元件,在机械紧张时产生电能,在平衡状态下处于屈曲状态。 初步实验结果表明,具有该设计的收割机可以在广泛的强迫频率上输出可观的功率,这与基于线性机械原理的振动能量的收割者不同,只有在主导的环境振动频率接近收割机的谐振频率的情况下才能提供可观的响应。 拟议的工作包括该设备的实验表征,以进行周期性和随机强迫,以及将在理论上和计算上分析的低维模型和高维模型的发展。 由于初步实验结果表明,这是可以最大程度地收获能量的地方,因此将特别注意参数和迫使其混乱反应的制度。 将确定响应对参数的依赖性,并将使用多参数优化来识别能源收集被优化的设备的参数值。振动能量收获者潜在地应用于产生相当大的振动能量的各种环境,例如汽车,火车,火车,火车,飞机,飞机,飞机,船只,机械和建筑物。能源收割机可以为此类系统供电,例如用于系统监视的数据的无线传输。此外,许多机械和电子系统(例如自动驾驶汽车和传感器网络)需要笨重的电池和/或电源来进行操作。 如果可以使用能量收割机为此类系统提供完整或补充能力,则它们可能会降低成本和不便,以替换电池。 这项工作还将为压电振动能量收割机开发一个严格的建模框架,这将对在这个和其他领域工作的研究人员有益,而在此和其他领域都很重要。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

暂无数据

数据更新时间:2024-06-01

Jeffrey Moehlis其他文献

Controlling Spike Timing and Synchrony in Oscillatory Neurons.
控制振荡神经元的尖峰时序和同步。
  • DOI:
    10.1152/jn.00898.2010
    10.1152/jn.00898.2010
  • 发表时间:
    2011
    2011
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Tyler W. Stigen;P. Danzl;Jeffrey Moehlis;T. Netoff
    Tyler W. Stigen;P. Danzl;Jeffrey Moehlis;T. Netoff
  • 通讯作者:
    T. Netoff
    T. Netoff
共 1 条
  • 1
前往

Jeffrey Moehlis的其他基金

A Novel Approach to System Identification using Artificial Neural Networks
使用人工神经网络进行系统识别的新方法
  • 批准号:
    2016004
    2016004
  • 财政年份:
    2020
  • 资助金额:
    $ 32.25万
    $ 32.25万
  • 项目类别:
    Standard Grant
    Standard Grant
Collaborative Research: Understanding and Optimizing Dynamic Stimulation for Improvement of Short- and Long-term Brain Function
合作研究:理解和优化动态刺激以改善短期和长期大脑功能
  • 批准号:
    1635542
    1635542
  • 财政年份:
    2016
  • 资助金额:
    $ 32.25万
    $ 32.25万
  • 项目类别:
    Standard Grant
    Standard Grant
Optimal Termination of Spiral Waves Associated with Cardiac Arrhythmias
与心律失常相关的螺旋波的最佳终止
  • 批准号:
    1363243
    1363243
  • 财政年份:
    2014
  • 资助金额:
    $ 32.25万
    $ 32.25万
  • 项目类别:
    Standard Grant
    Standard Grant
Collaborative research: Optimal stimulus waveform design for Parkinson's disease
合作研究:帕金森病的最佳刺激波形设计
  • 批准号:
    1264535
    1264535
  • 财政年份:
    2013
  • 资助金额:
    $ 32.25万
    $ 32.25万
  • 项目类别:
    Standard Grant
    Standard Grant
Controlling Populations of Neurons
控制神经元群体
  • 批准号:
    1000678
    1000678
  • 财政年份:
    2010
  • 资助金额:
    $ 32.25万
    $ 32.25万
  • 项目类别:
    Standard Grant
    Standard Grant
CAREER: Dynamics of Individual and Coupled Oscillators
职业:个体和耦合振荡器的动力学
  • 批准号:
    0547606
    0547606
  • 财政年份:
    2006
  • 资助金额:
    $ 32.25万
    $ 32.25万
  • 项目类别:
    Standard Grant
    Standard Grant
Collaborative Research: MSPA-CSE: Equation-Free Modeling of Biological Self Organization: Coarse Computational Swarming
合作研究:MSPA-CSE:生物自组织的无方程建模:粗计算集群
  • 批准号:
    0434328
    0434328
  • 财政年份:
    2004
  • 资助金额:
    $ 32.25万
    $ 32.25万
  • 项目类别:
    Standard Grant
    Standard Grant

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