Thesis
ELECTROCHEMICAL MODELING OF LITHIUM-ION BATTERIES AND CNT BIOSENSORS
Washington State University
Master of Science (MS), Washington State University
01/2021
DOI:
https://doi.org/10.7273/000005413
Handle:
https://hdl.handle.net/2376/119006
Abstract
Electrochemical systems represent one of the largest markets in technology and design today. Electrochemical systems encompass a wide array of technologies and applications but two of the most common electrochemical systems are batteries and sensors. As these systems advance, there is a growing necessity for highly precise electrochemical modeling, needed for the design, operation and optimization of electrochemical systems. Such models can be divided into two categories: equivalent circuit models (ECMs) and physics-based models. In this study, an examination is made of an ECM for a newly designed electrochemical biosensor and a physics-based model of a lithium-ion NMC532 battery.Biosensor technologies are often slow to use, expensive and are difficult to mass produce, which is problematic in the case of a pandemic as was evidenced early in the COVID-19 outbreak. As such a simple, inexpensive biosensor was developed with the capability of identifying a specific species. The sensor consisted of two silver electrodes printed over a carbon-nanotube (CNT) base which had been coated in a polyethyleneimine layer. The sensor’s electric properties were found to decay with time. An ECM was built to track the decay and identify its cause. It was found that oxidation in the CNT layer was likely the cause of decay.
It is necessary to measure the entropy of reaction in a battery to determine how much heat will be generated by the cell. Calculating the heat generation is necessary both for safety and to improve the longevity and performance of the cell with cooling systems. Traditional methods of measuring entropy of reaction are slow and require expensive environmental control machinery. As such a physics-based model using a frequency domain method was developed to measure entropy at a significantly faster pace. The model was tested on a custom NMC532 battery with known material parameters to check the model’s accuracy. Results from the new model were checked against measurements taken on the same cell using traditional methods. The model validation shows a high degree of accuracy, roughly 50 µV/K, using the new method.
Metrics
Details
- Title
- ELECTROCHEMICAL MODELING OF LITHIUM-ION BATTERIES AND CNT BIOSENSORS
- Creators
- Jonathan William Hammond
- Contributors
- Sun Kim (Advisor)Stephen Solovitz (Committee Member)Jong-Hoon Kim (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- School of Engineering and Computer Science (VANC)
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University
- Number of pages
- 73
- Identifiers
- 99900591958601842
- Language
- English
- Resource Type
- Thesis