Journal of Modern Technology and Engineering

This paper presents a structured Simscape-based work ow for comparing proportional-integral-derivative (PID) and fuzzy logic controller (FLC) strategies in regulating battery temperature during continuous charge and discharge cycles. Under repeated cycling, nonlinear effects such as varying internal resistance, heat generation, and state of charge changes become more pronounced, often leading to unstable temperature growth and reduced efficiency. Temperature regulation is therefore essential to prevent degradation, ensure safety, and extend battery lifespan. In this study, a single lithium-ion cell is modeled in both electrical and thermal domains, linking input current control directly to temperature feedback. PID and FLC are applied to manage this current, maintaining operation within safe thermal limits. The results show differences in dynamic behavior and control effort between the two methods, with the FLC reducing temperature overshoot while introducing mild undershoot at a stable temperature of 44.73⁰C, and reducing settling time from roughly 4500 steps for PID to about 500 steps. Additionally, the FLC improves the root mean square error of temperature regulation from about 5.99⁰C for PID to around 4.35⁰C for FLC. The proposed work ow provides a clear and practical framework for studying temperature-dependent control strategies in thermal electrical systems.