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Rechargeable battery modeling and lifetime optimization
Battery lifetime is one of the most important design considerations in rechargeable battery operated devices. Understanding the battery nonlinear properties is essential for appropriate battery modeling. Optimizing the battery lifetime depends greatly on the discharge current profile. Changing the p...
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| Format: | Thesis |
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AUC Knowledge Fountain
2013
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| _version_ | 1867613416571535360 |
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| access_status_str | Open Access |
| author | El Agroudy, Naglaa |
| author_browse | El Agroudy, Naglaa |
| author_facet | El Agroudy, Naglaa |
| author_sort | El Agroudy, Naglaa |
| collection | Thesis |
| dc_rights_str_mv | The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. |
| description | Battery lifetime is one of the most important design considerations in rechargeable battery operated devices. Understanding the battery nonlinear properties is essential for appropriate battery modeling. Optimizing the battery lifetime depends greatly on the discharge current profile. Changing the profile shape can be done through averaging techniques, scheduling techniques, introducing recovery periods, etc. This work investigates the different techniques that can be used to enhance the battery lifetime. It is shown that 15-60% of lifetime savings can be achieved through using average current profile instead of variable current profile. This work also provides a comparison between different configuration techniques for multi-cell systems. Also, a new hybrid battery model is introduced which combines the battery electric circuit characteristics together with the nonlinear battery properties. |
| format | Thesis |
| id | oai:fount.aucegypt.edu:etds-2239 |
| institution | American University in Cairo (Egypt) |
| last_indexed | 2026-06-10T12:35:47.730Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from AUC Knowledge Fountain — bepress |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | AUC Knowledge Fountain |
| publisherStr | AUC Knowledge Fountain |
| record_format | dspace |
| source_str | AUC Knowledge Fountain — bepress |
| spelling | oai:fount.aucegypt.edu:etds-2239 Rechargeable battery modeling and lifetime optimization El Agroudy, Naglaa Battery lifetime is one of the most important design considerations in rechargeable battery operated devices. Understanding the battery nonlinear properties is essential for appropriate battery modeling. Optimizing the battery lifetime depends greatly on the discharge current profile. Changing the profile shape can be done through averaging techniques, scheduling techniques, introducing recovery periods, etc. This work investigates the different techniques that can be used to enhance the battery lifetime. It is shown that 15-60% of lifetime savings can be achieved through using average current profile instead of variable current profile. This work also provides a comparison between different configuration techniques for multi-cell systems. Also, a new hybrid battery model is introduced which combines the battery electric circuit characteristics together with the nonlinear battery properties. 2013-06-01T07:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/1240 https://fount.aucegypt.edu/context/etds/article/2239/viewcontent/Naglaa_MSc_Final_Report.pdf The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. Theses and Dissertations AUC Knowledge Fountain Storage batteries Electric batteries |
| spellingShingle | Storage batteries Electric batteries El Agroudy, Naglaa Rechargeable battery modeling and lifetime optimization |
| title | Rechargeable battery modeling and lifetime optimization |
| title_full | Rechargeable battery modeling and lifetime optimization |
| title_fullStr | Rechargeable battery modeling and lifetime optimization |
| title_full_unstemmed | Rechargeable battery modeling and lifetime optimization |
| title_short | Rechargeable battery modeling and lifetime optimization |
| title_sort | rechargeable battery modeling and lifetime optimization |
| topic | Storage batteries Electric batteries |
| url | https://fount.aucegypt.edu/etds/1240 https://fount.aucegypt.edu/context/etds/article/2239/viewcontent/Naglaa_MSc_Final_Report.pdf |
| work_keys_str_mv | AT elagroudynaglaa rechargeablebatterymodelingandlifetimeoptimization |