The landscape of global transportation is undergoing a significant transformation with the widespread adoption of electric vehicles (EVs). The reasons behind this major shift in vehicle technology have become widely recognised and understood at this point in history, as are the challenges. One significant problem to address on this matter is maximizing travel distance by optimizing the use of the batteries' limited capacity, while ensuring passengers' comfort. The aim of this thesis is to improve the performance of the control strategy proposed by previous works over the Thermal Management System of a Battery Electric Vehicle by applying Machine Learning techniques. This is approached with the objective of maximising battery lifespan and minimising energy consumption.