Date of Award

2019

Degree Type

Thesis

Degree Name

Master of Science in Electrical Engineering (MSEE)

Department

Electrical, Computer, and Biomedical Engineering

First Advisor

Richard Vaccaro

Abstract

Lithium Ion Batteries are widely used in today's portable world. A working model is required in order to safely maximize the output of these batteries, and to efficiently choose appropriate sized systems for any given application. A model of this battery would require parameters that are not easy to measure, and need to be estimated. This work further explored on one existing model for the lithium ion battery, the linear dynamics single particle model, and improved upon it. Data was collected then modeled through the use of several matlab functions, and the final model was then used to predict the behavior of different applications of the battery. A variety of high and low currents in a variety of temperatures was used for both data collection and testing. This design began to explore the hypothesis that a single model can be used for the entire range of the batteries capabilities, instead of the multiple that is currently used. The parameters of this model were then extracted and related to real electro-chemical properties of the battery. Initial testing showed promising results for this hypothesis. The resulting model can be used in the development of future battery based electronics reducing cost and maximizing effectiveness.

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