Optimization of blended battery packs
Name
858867922-MIT.pdf
Description
Full printable version
Size
19.98 MB
Format
Adobe PDF
Checksum (MD5)
17a19474c19c2f597969331dd84b7654
Author(s)
Erb, Dylan C. (Dylan Charles)
Advisor(s)
Sanjay E. Sarma.
Date Issued
2013
Publisher
Massachusetts Institute of Technology
Abstract
This thesis reviews the traditional battery pack design process for hybrid and electric vehicles, and presents a dynamic programming (DP) based algorithm that eases the process of cell selection and pack design, especially for blended battery packs (those containing two or more different energy sources). The proposed algorithm simultaneously optimizes the size of the battery pack while determining the ideal control strategy for the power split between the two sources. To test the algorithm, a simulation experiment is presented that compares the results of the DP based algorithm with single energy source options and a peak shaving heuristic strategy. The results of this experiment show that the algorithm reliably picks the lowest cost solution, and illustrates that blended battery packs have great potential for cost reduction in hybrid vehicles.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 87-91).
Subjects
Mechanical Engineering.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
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copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission.
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