Date of Award

10-1-2021

Publication Type

Thesis

Degree Name

M.A.Sc.

Department

Electrical and Computer Engineering

First Advisor

B. Balasingam

Second Advisor

N. Kar

Third Advisor

Y.H. Kim

Keywords

Loop design, Battery management algorithms, State of charge

Rights

info:eu-repo/semantics/openAccess

Abstract

Batteries are one of the most used and viable energy storage systems that we use nowadays due to its high efficiency and low environmental impact. Today, batteries are the most important elements in the transportation industry and the electronic development field. To maximize battery performance and extend battery life, it is important to have a Battery fuel gauge (BFG) that accurately tracks its State of Charge (SOC), that consequently helps estimate the equivalent circuit model (ECM), and have its parameters estimated by the battery management system. Without accurate ECM modeling and parameter estimation it is not possible to have an accurate estimation of the State of Charge (SOC) of the battery. An analysis of the literature indicates that there is still room for improvement in SOC estimation and parameter estimation.

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