Evidence map›Paper›PMID 41753881›Full record

ArticleMicromachines2026

Design and Performance Optimization of a Micro Piezoelectric-Electromagnetic Hybrid Energy Harvester for Self-Powered Wireless Sensor Nodes.

Kesheng Wang, Junyan Lv, Huifeng Kang, Sufen Zhang, Qinghua Wang, Haiying Sun, Wenshuo Che, Wenqiang Yu

Abstract read
In one paragraph

Article in Micromachines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kesheng WangSchool of Mechanical Engineering, Shandong Huayu University of Technology, Dezhou 253034, China.
Junyan LvSchool of Mechanical Engineering, Shandong Huayu University of Technology, Dezhou 253034, China.
Huifeng KangSchool of Aeronautics and Astronautics, North China Institute of Aerospace Engineering, Langfang 065000, China.
Sufen ZhangSchool of Aeronautics and Astronautics, North China Institute of Aerospace Engineering, Langfang 065000, China.
Qinghua WangSchool of Aeronautics and Astronautics, North China Institute of Aerospace Engineering, Langfang 065000, China.
Haiying SunSchool of Mechanical Engineering, Shandong Huayu University of Technology, Dezhou 253034, China.
Wenshuo CheSchool of Mechanical Engineering, Shandong Huayu University of Technology, Dezhou 253034, China.
Wenqiang YuSchool of Mechanical Engineering, Shandong Huayu University of Technology, Dezhou 253034, China.ORCID 0009-0005-9591-1249

Funding

Intelligent Manufacturing Engineering Characteristic Laboratory of Shandong Province, China PT2022TS02Research & Development Plan Project of Dezhou City, Shandong Province, China DZSKJ202530
6 · The paper itself

Abstract

In low-amplitude and low-frequency vibration environments, the energy harvesting efficiency of self-powered wireless sensor nodes is insufficient, limiting their long-term autonomous operation. To address this issue, a micro piezoelectric-electromagnetic hybrid energy harvester is designed, aiming to enhance energy capture efficiency through structural integration and parameter optimization. The study is conducted entirely through numerical simulations. A coaxial integrated architecture is adopted, combining a piezoelectric cantilever beam array with an electromagnetic induction module. The piezoelectric layer uses lead magnesium niobate-lead titanate (PMN-PT) solid solution material with a thickness of 0.2 mm. The electromagnetic module employs copper wire coils with a diameter of 0.08 mm, winding 1500-3000 turns, paired with N52-type neodymium-iron-boron (NdFeB) permanent magnets. To improve energy conversion efficiency, the optimization parameters include the length-to-thickness ratio of the cantilever beam, the mass of the tip mass, the number of coil turns, and the spacing of the permanent magnets. Each parameter is set at four levels for orthogonal experiments. A multi-physics coupling model is established using ANSYS Workbench 2023, covering structural dynamics, piezoelectric effects, and the electromagnetic induction module. The mesh size is set to 0.1 mm. The energy output characteristics are analyzed under vibration frequencies of 0.3-12 Hz and amplitudes of 0.2-1.0 mm. Simulation results show that the optimized hybrid harvester achieves 45% higher energy conversion efficiency than a single piezoelectric structure and 31% higher than a traditional separated hybrid structure within the 0.3-12 Hz low-frequency range. Under a 6 Hz frequency and 0.6 mm amplitude, the output power density reaches 3.5 mW/cm

Indexed as

low amplitudelow-frequency vibrationmicro piezoelectricself-poweredwireless sensor nodes

Identifiers

PMID41753881
PMCPMC12943716

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.