Masters Theses

Keywords and Phrases

Battery Degradation; Battery Management Systems; Battery Modeling; Electric Vehicles; Lithium Ion Batteries

Abstract

“Lithium-ion batteries are extensively used in many application areas like consumer electronics, electric vehicles, and microgrids. As the world moves towards further electrification of vehicles and more widespread use of renewable energy sources, the need for large-scale battery storage systems will grow. To effectively replace conventional methods, batteries will need to be charged quickly while accounting for degradation to maximize lifetime. Further, larger batteries require more detailed safety monitoring, which is implemented using a battery management system (BMS). A BMS is responsible for state of charge (SOC) estimation, state of health (SOH) estimation, cell balancing, regulating voltage and current according to desired charging profiles, and fault checking to prevent thermal runaway. These functions rely on real-time implementation of battery models to provide an accurate picture of system behavior for critical decision making. In this arrangement of three papers, new models are developed after extensively discussing existing models. The proposed models are computationally efficient and include a wide scope of physics like solid-phase dynamics with diffusion-induced stress, electrolyte dynamics, crack propagation, SEI layer degradation, lithium plating, and high frequency dynamics associated with the double layer effect. A combination of linear and nonlinear models presented in both the time and frequency domains are included. Thus, the proposed battery models are compatible with popular control and estimation techniques and are well-equipped for a wide variety of BMS applications”--Abstract, page iv.

Advisor(s)

Landers, Robert G.
Park, Jonghyun

Committee Member(s)

Kimball, Jonathan W.

Department(s)

Mechanical and Aerospace Engineering

Degree Name

M.S. in Mechanical Engineering

Comments

The author would like to thank the National Science Foundation and the U.S. Department of Energy, Vehicle Technologies Office for their financial support over the years.

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2021

Journal article titles appearing in thesis/dissertation

  • Control-oriented modeling of lithium-ion batteries
  • A control-oriented single particle model with electrolyte dynamics and stress-diffusion coupling
  • A linearized single particle model with degradation

Pagination

xi, 124 pages

Note about bibliography

Includes bibliographic references.

Rights

© 2021 Brody James Corey Riemann, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 11962

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