This thesis work aims to determine the effectiveness of Model Predictive Control (MPC) in increasing the vehicle autonomy as well as the battery life in the context of Battery Thermal Management (BTM) System in electric and hybrid vehicles. BTM is, in fact, an important problem to deal with, since it affects vehicle autonomy and the Battery State of health (SOH). In this work, Adaptive Model Predictive Control (AMPC) has been chosen among the possible MPC controllers. The scheme which implements the Vapor Compression Refrigeration Cycle (VCR) and the thermal management system as whole has been developed in Simscape environment by Mathworks company, which has provided it as an example (“Electric Vehicle Thermal Management”).