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SBIR Phase I: Advanced Micro Vibration Energy Harvesters for Energy-Autonomous Internet of Things

SBIR Phase I: Advanced Micro Vibration Energy Harvesters for Energy-Autonomous Internet of Things
SBIR 第一阶段:用于能源自主物联网的先进微振动能量收集器
批准号:
1913991
负责人:
Ethem Aktakka
金额:
$22.49万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-07-01 至 2021-09-30

项目摘要

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中文摘要
翻译
此项目的更广泛影响/商业潜力是解决电力问题,该问题严重限制了下一代无线传感器和物联网(IoT)节点的部署和功能,并抑制了它们对智能制造、智能交通和建筑自动化等最需要的领域的能源和效率节约的影响。大多数高影响力的物联网应用通常需要小型化,并在大量难以服务的位置放置无线传感器节点,在这些位置更换电池或布线不实用或成本太高。这项研究和开发工作将探索振动能量收集器的基本和技术极限,并开发具有高功率密度、多轴工作能力和更宽频带的新型微型振动能量收集器。这些低成本微振动能量采集器旨在实现能源自主的无线传感器节点,为自给物联网节点开辟新的市场和高影响的应用,通过实现持续的数据收集在多个行业实现节能和提高效率,减少数百万废弃有毒电池的生态足迹,并显著降低工业物联网网络的维护成本。该小企业创新研究(SBIR)一期项目旨在开发一种毫米级振动能量收割机,能够提供高功率密度、多轴运算能力和足够宽的运算带宽,作为下一代工业物联网节点的免维护、低成本的可再生电源。现有的振动能量采集器体积大、成本高、功率密度低、工作频率高、频带极窄,限制了它们在实际生活中的实际应用。此外,商业收割机只能在一个振动轴上工作,不能有效地从现实应用中发现的复杂三维振动剖面中进行收获。该SBIR第一阶段项目将专注于新的设备架构,以在高度紧凑的设备体积中实现高功率密度,并从沿任何空间方向的低幅度振动中高效地获取能量。此外,还将研究新的设备架构,以获得进一步改进的性能和附加功能。将进行分析模拟和有限元分析,以优化器件性能。原型将通过一种专利的先进微制造方法来制造,以在硅晶片上获得高质量的压电薄膜。组装的收割机原型将在模拟目标工业应用的条件下进行测试。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The broader impact/commercial potential of this project is to address the power problem, which significantly limits the deployment and functionality of next generation wireless sensors and internet-of-things (IoT) nodes and inhibits their impact on energy and efficiency savings in the most needed areas of smart manufacturing, smart transportation, and building automation. Most high-impact IoT applications typically require miniaturization and placement of wireless sensor nodes in hard-to-service locations in vast numbers, where the battery replacement or electrical wiring is not practical or too costly. This research and development effort will explore the fundamental and technological limits of vibration energy harvesters, and development of novel micro vibration energy harvesters with high power density, multi-axis operation capability, and wider frequency bandwidth. These low-cost micro vibration energy harvesters aim to enable energy-autonomous wireless sensor nodes that will open up new markets and high-impact applications for self-powered IoT nodes, achieve energy savings and increased efficiency in multiple industries due to enabled continuous data gathering, reduce the ecological footprint of millions of wasted toxic batteries, and significantly decrease the maintenance cost of industrial IoT networks. This Small Business Innovation Research (SBIR) Phase I project aims to develop a millimeter-scale vibration energy harvester that can provide high power density, multi-axis operation capability and sufficiently wide operation bandwidth, as a maintenance-free and low-cost renewable power source for next-generation industrial IoT nodes. Existing vibration energy harvesters have limited practical applications in real life, as they suffer from large size, high-cost, low power density, high operation frequency, and extremely narrow frequency bandwidths. Moreover, commercial harvesters can only operate at a single vibrational axis and cannot harvest efficiently from complex three-dimensional vibration profiles found in real-life applications. This SBIR Phase I project will focus on novel device architectures to achieve a high-power density in a highly compact device volume and to harvest energy efficiently from low-amplitude vibrations along any spatial directions. In addition, new device architectures will be investigated to obtain further improved performance and additional functionalities. Analytical simulations and finite element analysis will be performed to optimize device performance. Prototypes will be fabricated via a proprietary advanced micro manufacturing method to obtain high-quality piezoelectric thin films on silicon wafers. Fabricated harvester prototypes will be tested at conditions simulating target industrial applications.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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