Publication

Abstract : Electric vehicles (EVs) have battery packs consisting of several cells, where state-of-charge (SoC) differences among individual cells can trigger effects like overcharging, deep discharging, and degradation acceleration. Therefore, active cell balancing is important for safe operation and long life of the batteries. In this study, active cell balancing is simulated with Model Predictive Control (MPC) in MATLAB/Simulink, and its comparison with the performance of conventional balancing methods in load and no-load situations is analyzed. The two balancing topologies analyzed were ćuk converter-based balancing and bidirectional multiple transformer-based balancing. The study aimed to look into how effective MPC was in optimizing the charge transfer with regard to balancing time and efficiency. Simulation results showed that MPC offered advantages over the others in terms of SoC equalization time, thus confirming the efficacy of MPC towards EV battery applications and performance.