Optimization of a vibrations based electromagnetic MEMS energy harvester
Name
1127293287-MIT.pdf
Size
5.04 MB
Format
Adobe PDF
Checksum (MD5)
72ccdd6540ebd032857bca2b9aa7dc1f
Author(s)
Yang, Yuechen.
Advisor(s)
Jeffrey H. Lang.
Alternative Title
Optimization of a vibrations based electromagnetic Micro-electro-mechanical systems energy harvester
Date Issued
2019
Publisher
Massachusetts Institute of Technology
Abstract
This thesis includes the design and fabrication of an electromagnetic energy harvester on Silicon and MP35N metal alloy. The mechanical harvester is a spring-mass-damper system that converts mechanical energy into electrical energy. This project resulted in the development of an optimized design flow for vibration EM energy harvesters utilizing a traversing mass. The harvester, which is the focus of this project, interfaces with a custom built control circuit, which is the interface between the electromagnetic harvester and the power bank. The goal of the project is to optimize the electromagnetic harvester and explore designs for practical implementation. The initial Silicon harvester design results in a matched-load power output of 2.2 mW, and a matched-load power-output density of 1.23 mW/cm3 at 1.1 g with a resonance frequency of 76.3 Hz. Using the optimization scheme developed from the Silicon harvester, the MP35N harvester achieves a matched-load power output of 1.2 mW, and a power density of 1.03 mW/cm3 while drastically decreasing the device footprint. The MP35N harvester is robust enough to withstand drops during assembly process and large transient accelerations. The improved durability also enables the installation of back irons, which shows promise of further improving the power output by bringing the raw output power to 1.9 mW at resonance and with matched load.
Description
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (page 93).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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