In the last decade, as a consequence of the widespread environmental consciousness, vehicle electrification demand is growing quickly. One of the most critical devices of electrical vehicles is the Thermal Management System (TMS) whose accurate design plays a crucial role to guarantee adequate battery performance, vehicle safety, and passengers¿ comfort. The aim of the thesis is to propose a Model Predictive Control (MPC)-based approach to optimally regulate the behavior of both the battery thermal management system (BTMS) and the cabin air-conditioning (AC) system, with the purpose of simultaneous battery lifespan maximization and energy consumption minimization. The proposed control structure is based on two separate devices: (i) the optimal reference generator and (ii) the MPC feedback loop.