Analytical estimation of the C-rate and numerical and experimental investigation of the EV battery pack

Abstract

The electrification of transportation has led to an increased emphasis on the thermal management of battery packs to ensure their safety, efficiency, and longevity. This study presents a comprehensive estimation of the C-rate through analytical and the thermal behavior of an electric two-wheeler battery pack (3.2[Formula: see text]kWh) under varying operational conditions through a combination of simulation and experimental testing. Numerical analysis was conducted using Celsius EC Solver (version 2023.2) software, with a specific focus on parameters such as C-rate and temperature distribution. Experimental validation was performed under controlled conditions, and key metrics such as ambient temperature, maximum temperature reached at various locations, heat generation rates, voltage, and current were measured. The findings of this study demonstrate that there is less than 4% error which is well agreed between simulation and experimental results. This indicates a significant congruence between the simulated and experimental data, underscoring the reliability of the proposed simulation model. This analysis provides valuable insights for optimizing thermal management strategies in battery packs.