Learning Model Predictive Control Parameters via Bayesian Optimization for Efficient and Safe Battery Fast Charging

This work proposes a hierarchical control framework that combines model predictive control (MPC) for short-term control tasks and Bayesian optimization (BO) for efficient learning of MPC parameters to enhance closed-loop performance and ensure safe operation during battery fast charging.