Optimization of the thermal management in an electric vehicle (EV) is a crucial challenge aimed to improve the overall energy efficiency and ensuring optimal operating conditions for both battery system and passengers comfort. The Battery Thermal Management (BTM) system and the Heating, Ventilation and Air Conditioning (HVAC) system are among the most energy-demanding systems in an EV, significantly impacting the total driving range. Made these considerations, the thesis focuses on the development and implementation, in Matlab/Simulink environment, of an adaptive Model Predictive Control (MPC) strategy to enhance the energy efficiency of these systems while maintaining both battery and cabin temperatures within the desired limits.