PFI:AIR-TT: DeepBeam: Wirelessly chargeable portable batteries through energy beamforming

PFI:AIR-TT:DeepBeam:通过能量波束成形进行无线充电的便携式电池

基本信息

  • 批准号:
    1701041
  • 负责人:
  • 金额:
    $ 20万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-06-01 至 2019-05-31
  • 项目状态:
    已结题

项目摘要

This PFI: AIR Technology Translation project focuses on translating a distributed wireless radio-frequency (RF) charging concept to a network-assisted battery replenishment system for small form-factor sensors and devices. This will result in the ability to charge small devices, such as cell phones, wirelessly, which will untether them from the constraints of cables and power sockets. The project, called DeepBeam, will ensure such IOT devices operate continuously, with minimum user involvement and battery-related maintenance downtimes, and enable an energy management network for the tens of billions of Internet of Things (IOT) devices that will be pervasively deployed over the next decade. Many safety-critical sensing and monitoring tasks increasingly rely on sensors in homes, industries and public areas, which make DeepBeam's innovation in wireless energy delivery an important area of investment. The project will result in a proof of concept network of multiple energy transmitters (ETs) and a high-efficiency energy harvesting circuit. DeepBeam will incorporate the following unique features: (i) a software controller that optimally schedules wireless charging operations among the energy transmitters, and (ii) a circuit that can harvest energy in both the unlicensed and the cellular frequency bands. DeepBeam's design features provide the following advantages: 40-45% energy harvesting efficiency, charging radius of several tens of meters, and unconstrained charging in any spatial direction when compared to the leading competing wireless charging solutions in this market space.  The project addresses the following technology gaps as it translates from research discovery toward commercial application: (i) Designing a beamforming algorithm based on channel estimation techniques to eliminate the need for continuous feedback from that device, so that the energy beams from multiple source points can be properly oriented with constructive energy interference at the target, (ii) Developing and fabricating an energy harvesting circuit that interfaces with off-the-shelf sensors and is also capable of aggregating the received energy over multiple spectrum bands, (iii) Devising a scheduling algorithm in the software controller that will decide the selection of the target receivers and the active duration of the charging beams based on the changing network needs. In addition, the personnel involved in this project, one post doctoral researcher and one graduate student, will receive innovation and technology translation experiences through jointly filed patents, writing invention disclosure documents and participating in commercialization activities. The PFI team is strongly connected to the Northeastern Venture Mentoring Network (VMN) and the university's Center for Entrepreneurship Education that contribute mentoring support towards the technology translation goals of the project.
此PFI:AIR技术转换项目专注于将分布式无线射频(RF)充电概念转换为用于小型传感器和设备的网络辅助电池补充系统。这将导致能够对手机等小型设备进行无线充电,从而使它们摆脱电缆和电源插座的限制。该项目名为DeepBeam,将确保此类物联网设备在最少的用户参与和与电池相关的维护停机时间的情况下持续运行,并为未来十年将广泛部署的数百亿物联网(IOT)设备实现能源管理网络。许多安全关键的传感和监控任务越来越依赖于家庭、工业和公共领域的传感器,这使得DeepBeam在无线能量传输方面的创新成为一个重要的投资领域。该项目将产生一个由多个能量发射器(ETS)组成的概念验证网络和一个高效的能量收集电路。DeepBeam将结合以下独特功能:(I)软件控制器,可在能量发射器之间优化调度无线充电操作;(Ii)电路,可在未经许可的频段和蜂窝频段收集能量。DeepBeam的设计特点提供以下优势:与该市场领域领先的竞争对手无线充电解决方案相比,能量收集效率为40%-45%,充电半径为数十米,在任何空间方向上都不受限制。该项目在从研究发现转化为商业应用的过程中解决了以下技术差距:(I)设计基于信道估计技术的波束形成算法,以消除对来自该设备的连续反馈的需要,以便来自多个源点的能量波束可以在目标处受到建设性能量干扰的适当定向,(Ii)开发和制造与现成传感器接口的能量采集电路,并且还能够聚合多个频段上的接收能量,(Iii)在软件控制器中设计一种调度算法,该算法将根据不断变化的网络需求来决定目标接收器的选择和充电束的有效持续时间。此外,参与该项目的人员1名博士后研究员和1名研究生将通过联合申请专利、撰写发明披露文件和参与商业化活动获得创新和技术转化经验。PFI团队与东北创业指导网络(VMN)和大学创业教育中心紧密联系在一起,这两个机构为项目的技术翻译目标提供指导支持。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
WiFED: WiFi Friendly Energy Delivery with Distributed Beamforming
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Kaushik Chowdhury其他文献

Kaushik Chowdhury的其他文献

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{{ truncateString('Kaushik Chowdhury', 18)}}的其他基金

NSF-SNSF: Rapid Beamforming for Massive MIMO using Machine Learning on RF-only and Multi-modal Sensor Data
NSF-SNSF:在纯射频和多模态传感器数据上使用机器学习实现大规模 MIMO 的快速波束成形
  • 批准号:
    2401047
  • 财政年份:
    2024
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Collaborative Research: SWIFT: MEDUSA: Mid-band Environmental Sensing Capability for Detecting Incumbents during Spectrum Sharing
合作研究:SWIFT:MEDUSA:用于在频谱共享期间检测现有企业的中频环境传感能力
  • 批准号:
    2229444
  • 财政年份:
    2022
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Collaborative Research: CCRI: New: RFDataFactory: Principled Dataset Generation, Sharing and Maintenance Tools for the Wireless Community
合作研究:CCRI:新:RFDataFactory:无线社区的原则性数据集生成、共享和维护工具
  • 批准号:
    2120447
  • 财政年份:
    2021
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
I-Corps: Smart Mask for Respiratory Monitoring and Prevention of Airborne Diseases
I-Corps:用于呼吸监测和预防空气传播疾病的智能口罩
  • 批准号:
    2042080
  • 财政年份:
    2021
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
SpecEES: DISCOVER: Device Identification for Spectrum-optimization using COnVolutional nEural netwoRks
SpecEES:DISCOVER:使用卷积神经网络进行频谱优化的设备识别
  • 批准号:
    1923789
  • 财政年份:
    2019
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
WiFiUS: Coordinating US-Finland Collaboration on Wireless Research through WiFiUS PI Meetings
WiFiUS:通过 WiFiUS PI 会议协调美国-芬兰无线研究合作
  • 批准号:
    1644763
  • 财政年份:
    2016
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
Student Travel Support for ACM MobiHoc 2016
ACM MobiHoc 2016 学生旅行支持
  • 批准号:
    1631979
  • 财政年份:
    2016
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
I-Corps: Software-Defined Distributed Wireless Charging
I-Corps:软件定义的分布式无线充电
  • 批准号:
    1644598
  • 财政年份:
    2016
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
CAREER: IDEA: Integrated Data and Energy Access for Wireless Sensor Networks
职业:IDEA:无线传感器网络的集成数据和能源访问
  • 批准号:
    1452628
  • 财政年份:
    2015
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
EAGER: Network Protocol Stack for Galvanic Coupled Intra-body Sensors
EAGER:电流耦合体内传感器的网络协议栈
  • 批准号:
    1453384
  • 财政年份:
    2014
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant

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  • 批准号:
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