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.
Electronics & Communications Engineering Department
MS in Electronics & Communication Engineering
Committee Member 1
Committee Member 2
Library of Congress Subject Heading 1
Electric vehicles -- Batteries.
Library of Congress Subject Heading 2
Hybrid power systems.
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.
Institutional Review Board (IRB) Approval
Not necessary for this item
El Agroudy, N.
(2013).Rechargeable battery modeling and lifetime optimization [Master's Thesis, the American University in Cairo]. AUC Knowledge Fountain.
El Agroudy, Naglaa. Rechargeable battery modeling and lifetime optimization. 2013. American University in Cairo, Master's Thesis. AUC Knowledge Fountain.