Nowadays, environmental preservation and pollutant reduction are critical points on which the research is focused to reduce the carbon footprint of humans as much as possible. In particular, the mobility industry, responsible for almost 12% of global CO2 emissions, is investing more and more resources in research and development of solutions to face this problem. This thesis is collocated to improve vehicles’ efficiency and reduce their pollutant emissions, being part of a project AutoECO/Pitef that aims at improving the ecology of a light-duty commercial vehicle by hybridizing it and developing low and high-level, ECO-oriented control logic. This study developed and optimized two algorithms to pursue the project’s objective.