Next Generation of Efficient and Responsive Vibration Energy Harvesters

下一代高效、响应灵敏的振动能量收集器

基本信息

  • 批准号:
    RGPIN-2022-05279
  • 负责人:
  • 金额:
    $ 1.97万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2022
  • 资助国家:
    加拿大
  • 起止时间:
    2022-01-01 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

Energy harvesting from ambient mechanical vibration has been an active area of research over the past decade. In addition to its eco-friendliness and cost benefits, using ambient vibration for generating electricity is extremely promising in addressing the limitations of batteries and has opened up the opportunity to incorporate low to medium-power electronics and wireless sensors, especially in inaccessible, risky, and challenging environments. Mono-stable vibration energy harvesters (VEH) are simple, but except at their resonance, are not efficient and practical for typical broadband ambient vibrations. On the other hand, despite overcoming the bandwidth shortcoming, nonlinear VEHs have several technical gaps and challenges for their widespread application. Relying on our background in vibration analysis and other complementary areas such as nonlinear dynamics and mechatronic systems design and optimization, this NSERC Discovery Grant (DG) aims to establish a world-class research program that encompasses various critical topics in the VEH area to build a platform for developing the next generation of harvesters that are highly responsive to ambient vibration conditions and meet the power requirement of various real-world applications. To achieve that, we will explore different methods, including innovative nonlinear structural configurations, novel multi-generator architectures, vibration/frequency amplification techniques, and optimal system parameters tuning. In the nonlinear approaches, we will expand on several strategies, including multi-stability and parametric resonance, which have shown promising results in enhancing the bandwidth and responsiveness of vibratory systems. To ensure the effectiveness of those strategies for real-life applications, we will create innovative mechanisms capable of exhibiting nonlinear characteristics even at lower excitation amplitudes. Special attention will also be given to developing techniques such as multi-axes VEHs to maximize capturing vibrations from various directions. Frequency-up conversion is another technique that will be explored to get around the output power inefficiencies from low-frequency sources. Practical mechanisms will also be designed to amplify and optimally distribute mechanical stress on the harvester to enhance the output power and life of VEHs. This research will take advantage of the recent advancements in several areas in Mechatronic Systems, including mathematical modeling, design, simulation, optimization, intelligent control, smart materials, and embedded programming. The HQP will also gain valuable hands-on experience and expertise in applying engineering concepts in real-life applications. High impact publications and intellectual properties are other expected outcomes. Finally, the achievements of this DG will accelerate the creation of standalone self-powered electronic devices in various tech sectors such as gaming, UAVs, health monitoring systems, etc.
在过去的十年中,从环境机械振动中获取能量一直是一个活跃的研究领域。除了其生态友好性和成本效益外,利用环境振动发电在解决电池的局限性方面非常有前途,并开辟了将低到中等功率电子设备和无线传感器结合在一起的机会,特别是在难以接近,危险和具有挑战性的环境中。单稳态振动能量采集器(VEH)是简单的,但是除了在它们的共振处之外,对于典型的宽带环境振动不是有效的和实用的。另一方面,尽管克服了带宽的缺点,但非线性VEH的广泛应用仍存在一些技术差距和挑战。 凭借我们在振动分析和其他互补领域(如非线性动力学和机电系统设计和优化)的背景,这个NSERC发现补助金(DG)的目的是建立一个世界-类研究计划,包括在VEH领域的各种关键课题,以建立一个平台,开发下一代收割机,高度响应环境振动条件,并满足各种动力要求现实世界的应用。为了实现这一目标,我们将探索不同的方法,包括创新的非线性结构配置,新颖的多发电机架构,振动/频率放大技术和最佳系统参数调整。在非线性方法中,我们将扩展几种策略,包括多稳定性和参数共振,这些策略在提高振动系统的带宽和响应性方面表现出了良好的效果。为了确保这些策略在实际应用中的有效性,我们将创建即使在较低的激励幅度下也能够表现出非线性特性的创新机制。还将特别注意开发多轴VEH等技术,以最大限度地捕捉来自各个方向的振动。上变频是另一种将被探索的技术,以解决低频源的输出功率效率低下的问题。还将设计实用的机制来放大和优化分配收割机上的机械应力,以提高VEH的输出功率和寿命。 本研究将利用机电系统几个领域的最新进展,包括数学建模,设计,仿真,优化,智能控制,智能材料和嵌入式编程。HQP还将获得在实际应用中应用工程概念的宝贵实践经验和专业知识。其他预期成果是影响力大的出版物和知识产权。最后,该DG的成就将加速在游戏,无人机,健康监测系统等各个技术领域创建独立的自供电电子设备。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Arzanpour, Siamak其他文献

CNN-RNN and Data Augmentation Using Deep Convolutional Generative Adversarial Network for Environmental Sound Classification
  • DOI:
    10.1109/lsp.2022.3150258
  • 发表时间:
    2022-01-01
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Bahmei, Behnaz;Birmingham, Elina;Arzanpour, Siamak
  • 通讯作者:
    Arzanpour, Siamak
Cylindrical Cam Electromagnetic Vibration Damper Utilizing Negative Shunt Resistance
  • DOI:
    10.1109/tmech.2019.2959523
  • 发表时间:
    2020-04-01
  • 期刊:
  • 影响因子:
    6.4
  • 作者:
    Kamali, Seyed Hossein;Miri, Mohammad Hossein;Arzanpour, Siamak
  • 通讯作者:
    Arzanpour, Siamak
Solenoid actuator design and modeling with application in engine vibration isolators
  • DOI:
    10.1177/1077546311435517
  • 发表时间:
    2013-05-01
  • 期刊:
  • 影响因子:
    2.8
  • 作者:
    Hosseini, A. Masih;Arzanpour, Siamak;Parameswaran, Ash M.
  • 通讯作者:
    Parameswaran, Ash M.

Arzanpour, Siamak的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Arzanpour, Siamak', 18)}}的其他基金

Next Generation of Intelligent Anthropomorphic Exoskeleton Systems
下一代智能拟人外骨骼系统
  • 批准号:
    RGPIN-2019-06600
  • 财政年份:
    2019
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
Next Generation Small Intelligent Machining Systems
下一代小型智能加工系统
  • 批准号:
    RGPIN-2014-04526
  • 财政年份:
    2018
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
Improving the efficacy of pressurized metered dose inhaler spacers
提高加压定量吸入器储雾器的功效
  • 批准号:
    472717-2014
  • 财政年份:
    2018
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Collaborative Research and Development Grants
Improving the efficacy of pressurized metered dose inhaler spacers
提高加压定量吸入器储雾器的功效
  • 批准号:
    472717-2014
  • 财政年份:
    2017
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Collaborative Research and Development Grants
Development of an exoskeleton-based motion capture system
基于外骨骼的运动捕捉系统的开发
  • 批准号:
    517558-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Engage Grants Program
Next Generation Small Intelligent Machining Systems
下一代小型智能加工系统
  • 批准号:
    RGPIN-2014-04526
  • 财政年份:
    2017
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
Next Generation Small Intelligent Machining Systems
下一代小型智能加工系统
  • 批准号:
    RGPIN-2014-04526
  • 财政年份:
    2016
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
Development of a multi-wavelength imaging device for accurate detection of skin cancer
开发用于精确检测皮肤癌的多波长成像装置
  • 批准号:
    507419-2016
  • 财政年份:
    2016
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Engage Grants Program
Design of a powered wearable lower limb anthropomorphic exoskeleton
动力可穿戴下肢拟人外骨骼的设计
  • 批准号:
    461529-2013
  • 财政年份:
    2016
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Collaborative Research and Development Grants
Improving the efficacy of pressurized metered dose inhaler spacers
提高加压定量吸入器储雾器的功效
  • 批准号:
    472717-2014
  • 财政年份:
    2016
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Collaborative Research and Development Grants

相似国自然基金

Next Generation Majorana Nanowire Hybrids
  • 批准号:
  • 批准年份:
    2020
  • 资助金额:
    20 万元
  • 项目类别:

相似海外基金

SBIR Phase II: Rotary Electroadhesive Clutch for Lightweight and Energy-Efficient Actuators in Next-Generation Robots
SBIR 第二阶段:用于下一代机器人中的轻质高效执行器的旋转电粘附离合器
  • 批准号:
    2208905
  • 财政年份:
    2023
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Cooperative Agreement
Development of a growth method CTS films for the realization of next-generation solar cells which are low-cost, non-toxic, and highly-efficient
开发CTS薄膜生长方法,实现低成本、无毒、高效的下一代太阳能电池
  • 批准号:
    23K13697
  • 财政年份:
    2023
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
A next-generation extendable simulation environment for affordable, accurate, and efficient free energy simulations
下一代可扩展模拟环境,可实现经济、准确且高效的自由能源模拟
  • 批准号:
    10638121
  • 财政年份:
    2023
  • 资助金额:
    $ 1.97万
  • 项目类别:
CAREER: Towards Efficient Cryptography for Next Generation Applications
职业:面向下一代应用的高效密码学
  • 批准号:
    2402031
  • 财政年份:
    2023
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Continuing Grant
POSE: Phase II: CONNECT: Consortium of Open-source plaNNing models for Next-generation Equitable and efficient Communities and Transportation
POSE:第二阶段:CONNECT:下一代公平高效社区和交通的开源规划模型联盟
  • 批准号:
    2303748
  • 财政年份:
    2023
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Standard Grant
CAREER: Efficient and Reliable Data Transfer Services for Next Generation Research Networks
职业:为下一代研究网络提供高效可靠的数据传输服务
  • 批准号:
    2348281
  • 财政年份:
    2023
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Continuing Grant
Next generation additive manufacturing solution enabling local, sustainable and low cost production of energy efficient ceramic filtration membranes
下一代增材制造解决方案可实现本地、可持续和低成本生产节能陶瓷过滤膜
  • 批准号:
    10056737
  • 财政年份:
    2023
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Launchpad
Next-generation computational enzyme design for the creation of efficient artificial biocatalysts
用于创建高效人工生物催化剂的下一代计算酶设计
  • 批准号:
    RGPIN-2021-03484
  • 财政年份:
    2022
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
Towards efficient, next-generation perovskite-based multi-junction cells: The role of interfacial recombination, mobile ions and the built-in potential
迈向高效的下一代基于钙钛矿的多结电池:界面重组、移动离子和内置电势的作用
  • 批准号:
    498155101
  • 财政年份:
    2022
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Heisenberg Grants
Brain-inspired photonic computing for efficient next-generation telecommunications networks
用于高效下一代电信网络的受大脑启发的光子计算
  • 批准号:
    550313-2020
  • 财政年份:
    2022
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Alliance Grants
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了