Nowadays, governments are making harder rules to reduce pollution and greenhouse gas emissions. To comply, carmakers are moving toward renewable energy. Battery Electric Vehicles (BEVs) have limited range, which worries some people while Hybrid Electric Vehicles (HEVs) could be a good option since they combine traditional and electric power. However, to fully exploit the hybrid power system benefits, it is necessary to introduce the Energy Management System (EMS) into the vehicle control hierarchy in order to coordinate the power flow from the Internal Combustion Engine (ICE) and the Electric Motor/s (EM). This thesis work is focused on the EMS optimization through a global optimization strategy, named Dynamic Programming (DP).