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James L. Kirtley Jr. and Jeffrey H. Lang. Kumar, Rakesh,Ph. D.Massachusetts Institute of Technology. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science a-ii--- 2019-10-11T21:14:45Z 2019-10-11T21:14:45Z 2019 2019 https://hdl.handle.net/1721.1/122487 1122780324 This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 165-170). Energy buffer cost is a key factor in rural electrification, electric vehicles, mobile devices, etc. Increasingly, micro-grids and off-grid home electric systems have become popular in the developing world to help meet energy demands. These systems help provide electric power to customers when the main power utility is unable to do so, such as in rural communities or newly developed townships. However, a major limitation of micro-grid expansion is the system cost, with the energy buffer accounting for perhaps 50% of the cost. This work addresses such costs by addressing battery longevity through the creation of a cost-effective and easy to use battery monitor that helps off-grid system operators increase the lifetime of the battery system. This work also explores methods of extracting battery health information from existing off-grid batteries to help determine remaining battery life. To this end, a very inexpensive device capable of extracting state-of-charge (SoC) and state-of-health (SoH) is proposed and validated against data from existing battery test equipment. This work then develops an optimal depth of discharge model which can be built solely from manufacturer data. Such a model helps micro-grid operators understand the effects of different operational conditions on battery life. Finally, this work experimentally studies the degradation impact of extreme battery cycling scenarios. Examples include high discharge currents or low battery voltage cut-off. These results, combined with manufacturer data, lead to the synthesis of recommendations on how to size and operate the battery system to maximize lifetime using the proposed SoC/SoH monitoring device. By leveraging these optimal operating recommendations and monitoring tools, micro-grid operators may extend total battery throughputs by 35-40%, thereby reducing overall micro-grid system costs by up to 20%. For the purposes of this work, the focus will be on lead-acid batteries as they are the most common type of battery used in off-grid settings. by Rakesh Kumar. Ph.D. Ph.D. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science 170 pages eng Massachusetts Institute of Technology 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 Electrical Engineering and Computer Science. A cost-effective battery management and monitoring strategy for micro-grids in India Thesis application/pdf 2019-10-11T21:14:44Z Publication Doctoral EECS unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="7e4c08a0-abda-4d92-8fd0-e619e88b7661"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>A cost-effective battery management and monitoring strategy for micro-grids in India</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2019</PublicationDate> <Authors> <Author> <DisplayName>Kumar, Rakesh,Ph. D.Massachusetts Institute of Technology.</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Electrical Engineering and Computer Science.</Keyword> <Abstract>Energy buffer cost is a key factor in rural electrification, electric vehicles, mobile devices, etc. Increasingly, micro-grids and off-grid home electric systems have become popular in the developing world to help meet energy demands. These systems help provide electric power to customers when the main power utility is unable to do so, such as in rural communities or newly developed townships. However, a major limitation of micro-grid expansion is the system cost, with the energy buffer accounting for perhaps 50% of the cost. This work addresses such costs by addressing battery longevity through the creation of a cost-effective and easy to use battery monitor that helps off-grid system operators increase the lifetime of the battery system. This work also explores methods of extracting battery health information from existing off-grid batteries to help determine remaining battery life.</Abstract> <Abstract>To this end, a very inexpensive device capable of extracting state-of-charge (SoC) and state-of-health (SoH) is proposed and validated against data from existing battery test equipment. This work then develops an optimal depth of discharge model which can be built solely from manufacturer data. Such a model helps micro-grid operators understand the effects of different operational conditions on battery life. Finally, this work experimentally studies the degradation impact of extreme battery cycling scenarios. Examples include high discharge currents or low battery voltage cut-off. These results, combined with manufacturer data, lead to the synthesis of recommendations on how to size and operate the battery system to maximize lifetime using the proposed SoC/SoH monitoring device. By leveraging these optimal operating recommendations and monitoring tools, micro-grid operators may extend total battery throughputs by 35-40%, thereby reducing overall micro-grid system costs by up to 20%.</Abstract> <Abstract>For the purposes of this work, the focus will be on lead-acid batteries as they are the most common type of battery used in off-grid settings.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>