(521ah) Electrode Design Parameters Optimization of NCM622 Cathode in Lithium-Ion Battery for High Energythe Electrode Design
AIChE Annual Meeting
2023
2023 AIChE Annual Meeting
Catalysis and Reaction Engineering Division
Poster Session: Catalysis and Reaction Engineering (CRE) Division
Wednesday, November 8, 2023 - 3:30pm to 5:00pm
The electrode design parameters are considered one of the essential factors that has a vital rule in determining the quantity and speed of lithium storage, which directly affect the energy density of lithium-ion batteries in practical applications. Therefore, the optimal design parameters of the electrode are very significant to improve the performance of lithium-ion cells. In this study, we established a framework for designing and optimizing the lithium-ion battery electrode using the Bayesian optimization technique and the genetic algorithm. pseudo two-dimensional (P2D) electrochemical model is employed to investigate the influence of physical design parameters of the electrode and predicts its electrochemical performance during discharge with different C-rates. The Bayesian approach optimizes the design parameters of electrode thickness and porosities, and the particle size for maximizing the discharge capacity by integrating the lithium-ion battery CFD model into the Gaussian process to form a surrogate model. The results showed that the optimal design parameters improved the capacity by 42 % compared with the basic design parameters with only 60 function evaluations. The genetic algorithm showed slight improvement compared to the Bayesian approach with a discharge capacity of 4.32 mAh/cm2.