Energy harvesting using a magnetostrictive transducer based on switching control

Abstract

In this work, a switching control energy harvesting method using magnetostrictive materials is proposed. By combining a magnetostrictive material, an electric circuit, and an electronic switch, large-scale kinetic to electrical energy conversion can be achieved. The magnetostrictive material, magnet bias, and coils constitute an energy transducer, called a magnetostrictive transducer. The electronic switch strategically controls the switching of the circuit state according to an input switching signal. Using numerical simulations, we optimised the parameters and validated the harvesting performance with experimental measurements using a 3.75 m vibrated cantilever truss structure. In 20.0 s, the proposed method achieved an electrical energy of approximately 45 μJ, which is seven times more than that of the conventional passive method.

Publication DOI: https://doi.org/10.1016/j.sna.2023.114303
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences > Aston Advanced Materials
College of Engineering & Physical Sciences > Smart and Sustainable Manufacturing
Funding Information: The authors received the following financial support for the research, authorship, and/or publication of this article: Grant-in-Aid for Scientific Research (B) (KAKENHI) (grant number 18H01619 , 22H01675 ), Grant-in-Aid for Scientific Research (C) (KAKENH
Additional Information: Copyright © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).
Uncontrolled Keywords: Magnetostrictive material,Energy harvesting,Switching control
Publication ISSN: 1873-3069
Last Modified: 18 Nov 2024 08:39
Date Deposited: 17 Apr 2023 17:06
Full Text Link:
Related URLs: https://www.sci ... 924424723001528 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2023-06-01
Published Online Date: 2023-03-14
Accepted Date: 2023-03-10
Authors: Li, An
Goto, Keiju
Kobayashi, Yuusuke
Hara, Yushin
Jia, Yu (ORCID Profile 0000-0001-9640-1666)
Shi, Yu
Soutis, Constantinos
Kurita, Hiroki
Narita, Fumio
Otsuka, Keisuke
Makihara, Kanjuro

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