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ALSHARIF FINAL 4 28 23-1 with cert.pdf (4.05 MB)

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Dynamic Modeling and Thermal Characterization of Lithium-Ion Batteries

Alsharif, Khaled I
http://orcid.org/0000-0001-6819-8613
http://rave.ohiolink.edu/etdc/view?acc_num=ysu1682934705279719

Abstract Details

2023, Master of Science in Engineering, Youngstown State University, Department of Electrical and Computer Engineering.
Lithium-ion batteries have revolutionized our everyday lives by laying the foundation for a wireless, interconnected and fossil-fuel-free society. Additionally, the demand for Li-ion batteries has seen a dramatic increase, as the automotive industry shifts up a gear in its transition to electric vehicles. To optimize the power and energy that can be delivered by a battery, it is necessary to predict the behavior of the cell under different loading conditions. However, electrochemical cells are complicated energy storage systems with nonlinear voltage dynamics. There is a need for accurate dynamic modeling of the battery system to predict behavior over time when discharging. The study conducted in this work develops an intuitive model for electrochemical cells based on a mechanical analogy. The mechanical analogy is based on a three degree of freedom spring-mass-damper system which is decomposed into modal coordinates that represent the overall discharge as well as the mass transport and the double layer effect of the electrochemical cell. The dynamic system is used to estimate the cells terminal voltage, open-circuit voltage and the mass transfer and boundary layer effects. The modal parameters are determined by minimizing the error between the experimental and simulated time responses. Also, these estimated parameters are coupled with a thermal model to predict the temperature profiles of the lithium-ion batteries. To capture the dynamic voltage and temperature responses, hybrid pulse power characterization (HPPC) tests are conducted with added thermocouples to measure temperature. The coupled model estimated the voltage and temperature responses at various discharge rates within 2.15% and 0.40% standard deviation of the error. Additionally, to validate the functionality of the developed dynamic battery model in a real system, a battery pack is constructed and integrated with a brushless DC motor (BLDC) and a load. Moreover, because of the unique pole orientation that a BLDC motor possesses, it puts a pulsing dynamic load on the battery pack of the system. HPPC testing was conducted on the cell that is used in the battery pack to calibrate the model parameters. After the battery model is calibrated, the rotation experiment is conducted at which a battery pack is used to drive a benchtop BLDC motor with a magnetorheological brake as a programable load at varying running speeds. The voltage and current of the battery and the BLDC motor driver are recorded. Meanwhile, the speed and the torque of the motor are recorded. These data are compared to the predicted voltage of the battery pack using the mechanical analogy model. The model estimated the voltage response of a battery pack within 0.0385% standard deviation of the error.
Kyosung Choo, PhD (Advisor)
Frank Li, PhD (Committee Member)
Alexander Pesch, PhD (Committee Member)
116 p.
Electrical Engineering; Energy; Engineering; Mechanical Engineering
Lithium-ion batteries; Energy Storage; Battery Dynamic Modeling; Battery Thermal Modeling; Battery Testing; Modal Analysis; Lumped Thermal Analysis; Transient Thermal Analysis; Brushless DC Motor

Recommended Citations

Citations

  • Alsharif, K. I. (2023). Dynamic Modeling and Thermal Characterization of Lithium-Ion Batteries [Master's thesis, Youngstown State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1682934705279719

    APA Style (7th edition)

  • Alsharif, Khaled. Dynamic Modeling and Thermal Characterization of Lithium-Ion Batteries . 2023. Youngstown State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ysu1682934705279719.

    MLA Style (8th edition)

  • Alsharif, Khaled. "Dynamic Modeling and Thermal Characterization of Lithium-Ion Batteries ." Master's thesis, Youngstown State University, 2023. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1682934705279719

    Chicago Manual of Style (17th edition)

ysu1682934705279719
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This open access ETD is published by Youngstown State University and OhioLINK.
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