Electrical and Geometrical Optimization for a 2DoF Non-linear Energy Harvester

Frizzell

IEEE/ASME Trans. Mechatron.

2020

Common vibrational energy harvesters are generally based on a linear mass spring oscillator model, and these typically show narrow bandwidth and high resonant frequency at small scales. To overcome these problems, a two-degree-of-freedom nonlinear velocity-amplified energy harvester has been developed. The device comprises two masses, relatively oscillating one inside the other between four sets of magnetic springs. The magnetic springs introduce nonlinear effects, such as period-doubling, that can be exploited to enhance the output power and bandwidth of the harvester. This paper studies the dynamics of the harvester when a key geometrical parameter (the height of the device) is varied. For large height values, a significant increase of the output power in regions far from the resonant frequency of the device is observed, and the associated period-doubling effect was verified through high-speed imaging. It is demonstrated that nonlinear effects can be used to enhance the bandwidth of the device in order to harvest energy in regions far from resonance.

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Section: System Of Interestmentioning

confidence: 99%

The Identification of Period Doubling in a Nonlinear Two-Degree-of-Freedom Electromagnetic Vibrational Energy Harvester

Frizzell

IEEE/ASME Trans. Mechatron.

2020

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“…This usually limits the energy transfer in realistic applications, since ambient vibrations generally have a broad spectrum with several peaks [9]. An alternative to overcome the problem of narrow bandwidth is the two-degree-of-freedom (2DoF) velocity-amplified EM-VEH device introduced in [12,13,14].…”

Section: System Of Interestmentioning

confidence: 99%

A Vibration Energy Harvester and Power Management Solution for Battery-Free Operation of Wireless Sensor Nodes

Rodrı́guez

2019

Sensors

Electromagnetic Vibration Energy Harvesting (EM-VEH) is an attractive alternative to batteries as a power source for wireless sensor nodes that enable intelligence at the edge of the Internet of Things (IoT). Industrial environments in particular offer an abundance of available kinetic energy, in the form of machinery vibrations that can be converted into electrical power through energy harvesting techniques. These ambient vibrations are generally broadband, and multi-modal harvesting configurations can be exploited to improve the mechanical-to-electrical energy conversion. However, the additional challenge of energy conditioning (AC-to-DC conversion) to make the harvested energy useful brings into question what specific type of performance is to be expected in a real industrial application. This paper reports the operation of two practical IoT sensor nodes, continuously powered by the vibrations of a standard industrial compressor, using a multi-modal EM-VEH device, integrated with customised power management. The results show that the device and the power management circuit provide sufficient energy to receive and transmit data at intervals of less than one minute with an overall efficiency of about 30%. Descriptions of the system, test-bench, and the measured outcomes are presented.

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Powering Wireless Sensor Nodes for Industrial IoT Applications using Vibration Energy Harvesting

Rodrı́guez

2019 IEEE 5th World Forum on Internet of Things (WF-IoT)

2019