Optimizing Lithium-Ion Battery Thermal Management using CFD and Nano-Cooling

This study discusses the airflow for lithium-ion batteries during the charging process.The methodologies are designed for deployment on an inexpensive Battery Thermal Management System (BTMS).Hence, three separate phase model-based approaches for SOC estimation have been proposed and established, encompassing LIB modeling and identification techniques.This paper also examines the power intensity of a lithium-ion battery by combining and individual with the aforementioned methodologies to achieve better results.This research utilizes Computational Fluid Dynamics (CFD) to model and analyze fluid flow and heat transfer within lithium-ion batteries.It also explores the use of Phase Change Materials (PCMs) to enhance thermal management by regulating temperature through phase transitions.Together, CFD and PCMs aim to improve battery performance and safety.The best cooling efficiency was found to be achieved with a dielectric fluid, AL2O3 Nano fluid cooling system, and PCM nanofluid mixture.The battery reached 35 C during the experimental cooling process and 34 C during the simulation.The dielectric fluid with AL2O3 nano fluid cooling system and PCM reached a maximum temperature of 45 C, while forced air and dielectric cooling reached maximums of 46 C and 46 C, respectively.The results are based on modern cooling efficiency techniques such as Phase Change Material (PCM) and Nano cooling fluids.