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Multi-source energy harvesting for lightweight applications

Author(s)
Oliva, Alexander
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Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Jeffrey H. Lang and Paul A. Ward.
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MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
This thesis analyzes, designs and tests circuit topologies for simultaneous energy harvesting from solar and 915-MHz RF energy sources. An important design objective is to minimize system weight while maximizing output power and operating time for applications in the sub-170-mg and single-mW ranges. The resulting energy harvesting system uses a unique approach of categorizing the harvesters as primary and auxiliary harvesters due to the power levels of each in relation to the high load demand. This work results in a 162-mg supercapacitor-powered system capable of powering a 2-V load at up to approximately 2-3 mW and a 150-mg battery-powered system capable of powering a 2-V load at up to 6 mW. The auxiliary RF harvester uses a fully-integrated charge pump to impedance-match to a rectenna with greater than 94% matching. The parasitic models developed for the RF harvester show errors less than 1.4% in the measured system.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Cataloged from student-submitted PDF version of thesis.
 
Includes bibliographical references (pages 193-197).
 
Date issued
2018
URI
http://hdl.handle.net/1721.1/119580
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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