  This paper explores the synergies between integrated power and thermal
management (iPTM) and battery charging in an electric vehicle (EV). A
multi-objective model predictive control (MPC) framework is developed to
optimize the fast charging performance while enforcing the constraints in the
power and thermal loops. The approach takes into account the coupling of the
battery and cabin thermal management. The case study of a commercial EV
demonstrates that the proposed method can effectively meet the requirements of
fast charging and thermal management when accurate preview information is
available. However, failure to predict the charging event can result in
performance degradation with longer charging time. A time-varying weighting
strategy is proposed to enhance charging performance in the presence of
uncertainty. This strategy leverages the battery state-of-charge (SOC) and
adjusts the priority of the multi-objective MPC at different phases during
charging. Simulated results using a commercial EV use case show improved
robustness in charging time using the proposed strategy.
