Design and thermal modeling of a Li-Polymer battery pack for residential renewable energy storage using MATLAB Simulink

This work focuses on the design and thermal modeling of a Lithium-Polymer battery pack intended for residential renewable energy storage applications using MATLAB Simulink. The thermal behaviour of the battery pack model was investigated under three environmental scenarios, outdoor summer, outdoor winter, and a controlled enclosure and at two discharge rates of 0.5C and 1C. The study assesses how ambient conditions and discharge rates concurrently influence the pack's thermal evolution, ensuring its performance remains within safe and efficient operational limits. To meet typical domestic energy demands, the battery pack was designed with a 30x13 cell configuration, achieving a nominal energy capacity of 3 kWh. The developed model integrates experimental measurements obtained from a single 2 Ah lithium-polymer cell, including electrical parameters, state of charge (SoC), and surface temperature. The results demonstrate that environmental boundary conditions are the primary driver of thermal evolution, even under identical electrical loads. The outdoor winter scenario was identified as the most critical, exhibiting a maximum temperature variation of 16 °C at 1C and significant spatial gradients inside the battery pack. In contrast, the controlled environment promoted high thermal homogeneity. These findings, which align with current literature, validate the proposed model as a tool for predicting the thermal dynamics of full-scale battery packs in real-world residential applications.