Optimization of blended battery packs
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2013.
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
| Published: |
Massachusetts Institute of Technology
2013
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/81601 |
| _version_ | 1826192634723434496 |
|---|---|
| author | Erb, Dylan C. (Dylan Charles) |
| author2 | Sanjay E. Sarma. |
| author_facet | Sanjay E. Sarma. Erb, Dylan C. (Dylan Charles) |
| author_sort | Erb, Dylan C. (Dylan Charles) |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2013. |
| first_indexed | 2024-09-23T09:26:33Z |
| format | Thesis |
| id | mit-1721.1/81601 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T09:26:33Z |
| publishDate | 2013 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/816012019-04-14T07:24:09Z Optimization of blended battery packs Erb, Dylan C. (Dylan Charles) Sanjay E. Sarma. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering. Mechanical Engineering. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (p. 87-91). 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. by Dylan C. Erb. S.M. 2013-10-24T17:33:48Z 2013-10-24T17:33:48Z 2013 2013 Thesis http://hdl.handle.net/1721.1/81601 858867922 eng M.I.T. theses are protected by 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. http://dspace.mit.edu/handle/1721.1/7582 91 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Mechanical Engineering. Erb, Dylan C. (Dylan Charles) Optimization of blended battery packs |
| title | Optimization of blended battery packs |
| title_full | Optimization of blended battery packs |
| title_fullStr | Optimization of blended battery packs |
| title_full_unstemmed | Optimization of blended battery packs |
| title_short | Optimization of blended battery packs |
| title_sort | optimization of blended battery packs |
| topic | Mechanical Engineering. |
| url | http://hdl.handle.net/1721.1/81601 |
| work_keys_str_mv | AT erbdylancdylancharles optimizationofblendedbatterypacks |