Lithium-ion battery packs consist of multiple individual batteries, and the challenge of effectively managing heat dissipation can lead to various safety concerns. Therefore, it is crucial to assess the thermal performance of a battery pack during the design phase. This study employs Newman’s Pseudo two-dimensional (P2D) model to design individual batteries, integrating three-dimensional computational fluid dynamics specifically adapted for Electric Vehicle (EV) applications. The main objective of the work is to investigate the optimal temperature limit and State-of-Charge (SOC) of the battery pack under different C-rates to enhance the effectiveness of the battery system. In this study, the battery pack is modeled by connecting two cylindrical batteries in a parallel arrangement, where the process is repeated six times, which results in six sets of parallel-connected pairs. Subsequently, these sets are connected in a series configuration to form the complete battery pack, commonly referred to as a 6s2p configuration. The cylindrical battery module is assumed to be wrapped in a plastic with an air-filled domain, and the connecting wires are made of aluminum material located at the top and bottom of the battery. The analysis is conducted under different C-rates (1C, 2C, and 3C) utilizing Lithium Nickel Cobalt Aluminum Oxide (NCA) as the positive electrode, graphite and Lithium Hexa Fluoro Phosphate as the negative electrode and separator materials, respectively. The findings indicate that, under a 1C rate, the lithium-ion battery pack attains optimal temperature and high SOC, minimizing adverse effects on battery life, making it compatible for EV applications.