Battery space optimization to limit heat transfer in a lithium-ion battery using adaptive elephant herding optimization

摘要: Pure electric vehicles have a variety of benefits such as energy efficiency, zero environmental emissions, elimination in air pollution, and decreased carbon dioxide emissions. While it offers major benefits, suffers from numerous battery-related issues, and, among them, heat dissipation is considered to be challenge, leading significant performance degradation if not handled properly. In this present work, battery thermal management system design presented using ANSYS Fluent adaptive elephant herding optimization algorithm for optimizing the spacing, reducing dissipation, ensuring proper temperature lithium-ion pack. The provides an optimal spacing (17, 23, 21, 0.23, 0.174, 0.174), maximum temperature, minimum difference values observed are 298.3112 K, 292.9874 K, 5.47 K, respectively. research findings show that works appropriate cost-effective strategy depicting influence towards results uniform cooling entire