Abstract:
Lithium batteries are an essential source of power for a large number of electrical components, which contributes to today’s developments in technology. They are essential to power portable electronic devices, electric cars, and renewable energy systems because of their lightness and high energy density. Understanding and optimizing lithium battery performance is of paramount importance in order to ensure effective and sustainable energy use, given society’s increasing reliance on electric power. Lithium iron phosphate (LiFePO4) batteries are integral components of different electrical applications, yet their high energy density and the potential for rapid temperature fluctuations in particular under very strong conditions make it essential to manage heat effectively. A comprehensive understanding of the LiFePO4 battery’s heat behavior is necessary in order to guarantee reliability and safety. This study aims to develop a mathematical model to accurately predict the thermal efficiency of LiFePO4 batteries in this context. This study presents a mathematical model to analyze the thermal efficiency of LiFePO4 batteries. Through computational simulations and theoretical frameworks, the model explores various factors impacting thermal performance, including temperature distribution, heat generation, and thermal conductivity. The findings offer insights into optimizing battery design and management strategies to enhance thermal efficiency, which is crucial for prolonging battery life and ensuring safe operation in diverse applications. A reliable tool to assess the thermal efficiency of LiFePO4 batteries and potential applications in designing and optimizing battery systems for a variety of electric uses are expected from this developed mathematical model, which contributes to the advancement of sustainable energy technologies.
