An experimentally validated electromagnetic energy harvester

Elvin, Niell; Elvin, Alex

doi:10.1016/j.jsv.2010.11.024

Cited by 140 publications

(89 citation statements)

References 12 publications

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“…Different transduction mechanisms have been presented, including electrostatic [1], electromagnetic [2][3][4][5], and piezoelectric [6][7][8][9] transduction. The latter transduction theory has received the most attention.…”

Section: Introductionmentioning

confidence: 99%

A Novel Piezoelectric Energy Harvester Using the Macro Fiber Composite Cantilever with a Bicylinder in Water

Song

Shan

et al. 2015

Applied Sciences

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Abstract:A novel piezoelectric energy harvester equipped with two piezoelectric beams and two cylinders was proposed in this work. The energy harvester can convert the kinetic energy of water into electrical energy by means of vortex-induced vibration (VIV) and wake-induced vibration (WIV). The effects of load resistance, water velocity and cylinder diameter on the performance of the harvester were investigated. It was found that the vibration of the upstream cylinder was VIV which enhanced the energy harvesting capacity of the upstream piezoelectric beam. As for the downstream cylinder, both VIV and the WIV could be obtained. The VIV was found with small L/D, e.g., 2.125, 2.28, 2.5, and 2.8. Additionally, the WIV was stimulated with the increase of L/D (such as 3.25, 4, and 5.5). Due to the WIV, the downstream beam presented better performance in energy harvesting with the increase of water velocity. Furthermore, it revealed that more electrical energy could be obtained by appropriately matching the resistance and the diameter of the cylinder. With optimal resistance (170 kΩ) and diameter of the cylinder (30 mm), the maximum output power of 21.86 μW (sum of both piezoelectric beams) was obtained at a water velocity of 0.31 m/s.

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Section: Introductionmentioning

confidence: 99%

A Novel Piezoelectric Energy Harvester Using the Macro Fiber Composite Cantilever with a Bicylinder in Water

Song

Shan

et al. 2015

Applied Sciences

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“…Therefore, the power can be determined as (8) By replacing z(t) with its equivalent equation, the equation of power yields the following (9) The energy transferred during one complete cycle of vibration is (10) where, (11) and (12) Combining equations 10, 11, and 12, the total energy during one cycle can be achieved as (13) The average power can be estimated by (14) Taking total energy into consideration, average power can also be expressed as (15) Incorporating the vibration amplitude of the mass into equation 15 gives the average power delivered to the electrical do- …”

Section: Power = Force × Velocitymentioning

confidence: 99%

Design and Fabrication of Low Frequency Driven Energy Harvester Using Electromagnetic Conversion

Lee¹,

Chung²

2013

Transactions on Electrical and Electronic Materials

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This paper describes a low frequency driven electromagnetic energy harvester (EMEH) which consists of a thin flame resistant (FR-4) planar spring, NdFeB permanent magnets, and a copper coil. The FR-4 spring was fabricated using a desk computer numerical control (CNC) 3D modeling machine. Mathematical modeling and ANSYS finite element analysis (FEA) were used totheoretically investigate the mechanical properties of the spring mass system. The proposed EMEH generates a maximum power of 65.33 μW at a resonance frequency of 8 Hz with an acceleration of 0.2 g (1 g = 9.8 m/s 2 ) and a superior normalized power density (NPD) of 77 μW /cm 3 ·g 2 .

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“…The performance of the electromagnetic energy harvesters is dependent on magnetic field strength. So utilizing a large permanent magnet may degrade the device portability level [3]. In contrast, the piezoelectric-based technique does not demand an external bias voltage.…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of Wideband Multimode Piezoelectric MEMS Vibration Energy Harvesters

Nabavi

Zhang

2017

Proceedings of Eurosensors 2017, Paris, France, 3–6 September 2017

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Abstract:To enlarge operating frequency bandwidth of the multimode energy harvesters, nonlinearity characteristics has to be well presented by the system configuration. Therefore, the conventional optimization techniques, which are solely based on human observation, are highly difficult and somehow impossible. In this paper we propose an efficient optimization technique for automating the design of nonlinear piezoelectric MEMS energy harvesters based on Genetic Algorithm (GA) with minimum human efforts. In this regard, a MEMS piezoelectric harvester with capability of operating at multimode is proposed and a GA-based optimization methodology is utilized to shift its operational modes close to each other by optimizing device physical aspects. The experiments on post-optimization resonant frequencies show that our proposed optimization methodology is able to reduce the resonant frequencies by 13%, 10% and 9.5% for the first, second and third modes, respectively. In addition, the numerical simulation shows that our optimized energy harvester with a total chip area of 16-mm 2 is able to maximally generate 655 mV, 80 mV and 572 mV at the first (153 Hz), second (168 Hz) and third (219 Hz) modes, respectively under 1 g vibration.

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An experimentally validated electromagnetic energy harvester

Cited by 140 publications

References 12 publications

A Novel Piezoelectric Energy Harvester Using the Macro Fiber Composite Cantilever with a Bicylinder in Water

A Novel Piezoelectric Energy Harvester Using the Macro Fiber Composite Cantilever with a Bicylinder in Water

Design and Fabrication of Low Frequency Driven Energy Harvester Using Electromagnetic Conversion

Design and Optimization of Wideband Multimode Piezoelectric MEMS Vibration Energy Harvesters

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