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This paper explores the synergies between integrated power and thermalmanagement (iPTM) and battery charging in an electric vehicle (EV). Amulti-objective model predictive control (MPC) framework is developed tooptimize the fast charging performance while enforcing the constraints in thepower and thermal loops. The approach takes into account the coupling of thebattery and cabin thermal management. The case study of a commercial EVdemonstrates that the proposed method can effectively meet the requirements offast charging and thermal management when accurate preview information isavailable. However, failure to predict the charging event can result inperformance degradation with longer charging time. A time-varying weightingstrategy is proposed to enhance charging performance in the presence ofuncertainty. This strategy leverages the battery state-of-charge (SOC) andadjusts the priority of the multi-objective MPC at different phases duringcharging. Simulated results using a commercial EV use case show improvedrobustness in charging time using the proposed strategy.

Robust Model Predictive Control for Enhanced Fast Charging on Electric Vehicles through Integrated Power and Thermal Management