In this thesis, we developed a model of the electrolyte in a lithium-ion battery. The model is based on equivalent circuits that use electrical elements to represent electrochemical processes. It is derived from a widely accepted model founded on concentrated solution theory.
We derived the model numerically and implemented it in the Python programming environment. The model was then validated through testing under real-world conditions and comparison with the baseline model. The results demonstrate that our model is accurate and well-formulated. The program efficiently determines the electrolyte's response to input parameters with high precision and in a relatively short computation time.
The main advantage of the model lies in its ability to provide an intuitive understanding of the processes occurring within a lithium-ion battery cell, thereby contributing to further development in this field.
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