Small-signal modeling and optimal operating condition of magnetostrictive energy harvester

Mizukawa, Yoshito; Ahmed, Umair; Zucca, M.; Blažević, David; Rasilo, Paavo

doi:10.1016/j.jmmm.2021.168819

Cited by 9 publications

(9 citation statements)

References 23 publications

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“…[268] As shown in Figure 5h, the Stoner-Wohlfarth approximation can describe magneto-mechanical coupling, in which the magnetically coupled material is assumed to be a collection of magnetic domains. For small coaxial stress and magnetic field perturbations, the magneto-mechanical coupling constitutive equation can be expressed as: [269] ΔB = dΔT + 𝜇 H ΔH (23)…”

Section: Magnetostrictive Energy Harvestermentioning

confidence: 99%

“…[ 268 ] As shown in Figure 5h, the Stoner–Wohlfarth approximation can describe magneto‐mechanical coupling, in which the magnetically coupled material is assumed to be a collection of magnetic domains. For small coaxial stress and magnetic field perturbations, the magneto‐mechanical coupling constitutive equation can be expressed as: [ 269 ]

\begin{equation}\Delta B = d\Delta T + {\mu }^{\mathrm{H}}\Delta H\end{equation}

\begin{equation}\Delta S = {s}^{\mathrm{H}}\Delta T + d\Delta H\end{equation}

where Δ B , Δ T , Δ H , and Δ S are the magnetic flux density increment, the stress increment, the magnetic field increment, and the strain increment, respectively. d , µ H , and s H are the piezomagnetic constant, the magnetic permeability, and the elastic compliance, respectively.…”

Section: Energy Harvesting Technologies For Microelectronicsmentioning

confidence: 99%

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Recent Progress in Application‐Oriented Self‐Powered Microelectronics

Qi,

Kong,

Wang

et al. 2023

Advanced Energy Materials

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With the rapid development of the Internet of Things (IoTs), numerous distributed wide‐area low‐power electronic devices have been utilized in various fields, such as wireless monitoring sensors and wearable electronics. Due to the dispersion and mobility of microelectronic devices, their energy supply faces serious challenges. The inconvenience and non‐environmental friendliness of using traditional centralized low entropy energy and chemical batteries to power distributed microelectronic devices are becoming increasingly prominent. Environmental energy harvesting technology with high entropy characteristics is considered an effective solution for low‐power electronic devices. This paper comprehensively reviews the recent progress in microelectronic technologies based on energy harvesting and signal sensing. First, state‐of‐the‐art micro‐power electronic devices in humans, animals, and the environment are introduced. Secondly, the available micro‐energy sources in the environmentare elaborated and summarized. Then, the principles and characteristics of ambient microenergy harvesting technologies based on different mechanisms are classified, summarized, and analyzed. In addition, this work comprehensively summarizes the applications of self‐powered micro‐electronics technology in 11 different fields, including human, animal, and environment. Finally, research challenges, technical difficulties, and research gaps in self‐powered microelectronics based on micro‐energy harvesting technology are discussed and summarized.

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Section: Magnetostrictive Energy Harvestermentioning

confidence: 99%

\begin{equation}\Delta B = d\Delta T + {\mu }^{\mathrm{H}}\Delta H\end{equation}

\begin{equation}\Delta S = {s}^{\mathrm{H}}\Delta T + d\Delta H\end{equation}

Section: Energy Harvesting Technologies For Microelectronicsmentioning

confidence: 99%

Recent Progress in Application‐Oriented Self‐Powered Microelectronics

Qi,

Kong,

Wang

et al. 2023

Advanced Energy Materials

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“…(Ahmed et al, 2020). Those include for instance: Mizukawa et al (2022) described a model of a magnetostrictive energy harvester operating under a small-signal vibration excitation imposed over a constant prestress and magnetic bias using linearized constitutive equations. Palumbo et al (2019) focused on the change of magnetostrictive properties under different mechanical prestresses and magnetic bias, and experimentally investigated the effect of parameter variations.…”

Section: Introductionmentioning

confidence: 99%

“…Still, many drawbacks can be associated with the piezoelectric solution, including, in the first line, the absence in the market of large-volume specimens. Also, piezoelectric materials are fragile, exhibit a high output impedance, and can be degraded by aging and fatigue (Anton and Sodano, 2007; Mizukawa et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Magnetostrictive energy conversion ability of Iron Cobalt Vanadium alloy sheet: Experimental and theoretical evaluation

Zangho,

Liu,

Zhang

et al. 2024

Journal of Intelligent Material Systems and Structures

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The increasing demand for autonomous devices has made the concept of energy harvesting a significant industrial and academic point of interest. In this domain, an ideal magnetostrictive material for converting mechanical vibrations into electrical energy in a cost-effective way (i.e. competing with the price of primary batteries) remains to be determined. Iron-Cobalt-Vanadium (Permendur, Co49-Fe49-V2) is a promising candidate: it is a soft ferromagnetic material with high magnetization saturation, high magnetostrictive coefficients, low price, and good availability. In this study, the experimental magnetic characterization and simulation of Permendur sheets under tensile stress were performed, and their energy conversion capabilities were assessed. The conversion ability was predicted using thermodynamic Ericsson cycles from reconstructed anhysteretic curves. A maximum of 10.45 mJ cm−3 energy density was obtained under a tensile stress of 480 MPa and a magnetic excitation of 5.5 kA m−1. Then, an additional estimation was proposed to account for the hysteresis losses. For this, major hysteresis loops at different stress levels were considered, yielding an energy density of 3.52 mJ cm−3. Finally, experimental Ericsson cycles were performed to prove the feasibility of the conversion and corroborate the energy level predictions.

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“…To effectively harvest the mechanical energy existing in the base excitations, biological motions, and flow waves [ 7 , 8 ], a large variety of vibrational energy harvesters have been proposed based on different mechanisms, e.g., piezoelectric [ 9 , 10 , 11 , 12 , 13 , 14 ], electromagnetic [ 15 , 16 , 17 , 18 , 19 ], electrostatic [ 20 , 21 ], triboelectric [ 22 , 23 , 24 , 25 , 26 ], and magnetostriction energy harvesters [ 27 ]. Moreover, two or more mechanisms can also be synergistically combined, which is called a hybrid mechanism [ 28 , 29 , 30 ].…”

Section: Introductionmentioning

confidence: 99%

A Non-Resonant Piezoelectric–Electromagnetic–Triboelectric Hybrid Energy Harvester for Low-Frequency Human Motions

Tang

Wang

et al. 2022

Nanomaterials

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With the rapid development of wireless communication and micro-power technologies, smart wearable devices with various functionalities appear more and more in our daily lives. Nevertheless, they normally possess short battery life and need to be recharged with external power sources with a long charging time, which seriously affects the user experience. To help extend the battery life or even replace it, a non-resonant piezoelectric–electromagnetic–triboelectric hybrid energy harvester is presented to effectively harvest energy from low-frequency human motions. In the designed structure, a moving magnet is used to simultaneously excite the three integrated energy collection units (i.e., piezoelectric, electromagnetic, and triboelectric) with a synergistic effect, such that the overall output power and energy-harvesting efficiency of the hybrid device can be greatly improved under various excitations. The experimental results show that with a vibration frequency of 4 Hz and a displacement of 200 mm, the hybrid energy harvester obtains a maximum output power of 26.17 mW at 70 kΩ for one piezoelectric generator (PEG) unit, 87.1 mW at 500 Ω for one electromagnetic generator (EMG) unit, and 63 μW at 140 MΩ for one triboelectric nanogenerator (TENG) unit, respectively. Then, the generated outputs are adopted for capacitor charging, which reveals that the performance of the three-unit integration is remarkably stronger than that of individual units. Finally, the practical energy-harvesting experiments conducted on various body parts such as wrist, calf, hand, and waist indicate that the proposed hybrid energy harvester has promising application potential in constructing a self-powered wearable system as the sustainable power source.

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Small-signal modeling and optimal operating condition of magnetostrictive energy harvester

Cited by 9 publications

References 23 publications

Recent Progress in Application‐Oriented Self‐Powered Microelectronics

Recent Progress in Application‐Oriented Self‐Powered Microelectronics

Magnetostrictive energy conversion ability of Iron Cobalt Vanadium alloy sheet: Experimental and theoretical evaluation

A Non-Resonant Piezoelectric–Electromagnetic–Triboelectric Hybrid Energy Harvester for Low-Frequency Human Motions

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