For the near future, the automotive industry is moving towards electrification to reduce greenhouse gas emissions and make mobility environmentally sustainable. In this context, minimising energy consumption becomes a crucial aspect, both to reduce waste and to extend the range of electric vehicles. The aim of this work is to design a Model Predictive Control (MPC) algorithm capable of minimising the energy consumption of the vehicle’s thermal management system, while maintaining cabin and battery temperatures within target limits. The study is conducted in the Matlab/Simulink environment using a baseline model developed by MathWorks. The proposed control strategy focuses on Battery Thermal Management (BTM) and Heating, Ventilation, and Air Conditioning (HVAC) systems, which are integrated and operate on a vapour-compression refrigerant cycle, requiring dedicated on-board components.