Adaptive time series modeling of charging and discharging processes of lithium-ion batteries and applications in battery management systems
General Material Designation
[Thesis]
First Statement of Responsibility
Arab Alsharif
Subsequent Statement of Responsibility
Das, Manohar
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
Oakland University
Date of Publication, Distribution, etc.
2015
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
165
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Place of publication: United States, Ann Arbor; ISBN=978-1-339-73016-5
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
Ph.D.
Body granting the degree
Oakland University
Text preceding or following the note
2015
SUMMARY OR ABSTRACT
Text of Note
The primary objective of this dissertation is to present a new method of modeling the charging and discharging processes of lithium-ion batteries, investigate their effectiveness and explore their applications. The primary contributions of this research work include development of adaptive time series models for modeling the charging and discharging processes of individual lithium-ion cells, extension of the above concepts to multi-cell lithium-ion batteries, and development of a new scheme for predicting the state of health of lithium-ion batteries.
TOPICAL NAME USED AS SUBJECT
Electrical engineering
UNCONTROLLED SUBJECT TERMS
Subject Term
Applied sciences;Battery Model;Charging;Discharging;Lithium-Ion Batteries;State of Health Estimation