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Numerical Simulation and Modeling of Electrochemical Processes in Lithium Titanate Oxide Batteries

Hassani, Elham | 2021

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54432 (46)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Rajani Ghahnavieh, Abbas; Torabi, Farshad
  7. Abstract:
  8. Batteries have always been used as one of the most important sources of electricity storage and supply. Among different types of batteries, lithium-ion batteries are widely used in various fields and engineering applications due to their high-density energy/power, high discharge/charge rate, and long life. The most common of these applications are using these batteries in all-electric and hybrid vehicles, which reduce environmental problems. Due to the high cost of these types of batteries and the environmental issues of battery decomposition, researchers are seeking to discover long-lasting batteries that lithium titanate oxide batteries have the most extended lifespan among lithium-ion batteries. In this research, electrochemical simulation and modeling of lithium ‐ battery are discussed. The electrochemical method is a simulation method based on the battery's physical equations that can predict the transient behavior of the battery accurately. In this research, a method based on the electrochemical method for predicting the internal processes of the battery with temporal and spatial distribution in one dimension is presented, which is very computationally efficient. By considering some logical assumptions, the differential equations of complex battery parts have been simplified to be solved numerically. The governing equations in this study, which are firmly interconnected, have been solved in a C++ programming environment using computational fluid dynamics and finite volume method, and the code of this research has been written in such a way that it can be used to simulate the behavior of different types of lithium-ion batteries. Calculations have been performed simultaneously and integrated into all three regions of positive electrode, negative electrode, and separator to achieve unknowns such as electrode concentration, electrode potential, electrolyte potential, and electrolyte concentration
  9. Keywords:
  10. Lithium Ion Batteries ; Finite Volume Method ; Numerical Simulation ; Computational Fluid Dynamics (CFD) ; Electrochemical Modeling

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