|POZZATO GABRIELE||Cycle: XXXII |
Section: Systems and Control
Tutor: FAGIANO LORENZO MARIO
Advisor: SAVARESI SERGIO MATTEO Major Research topic
:Advance in powertrain modeling, optimization and controlAbstract:
In recent years, the challenges associated with vehicle powertrain modeling, optimization, and control have gained increasing prominence. Thus, the need for a better fuel economy, lower vehicular emissions, and energy efficiency have led researchers to continuously develop new tools and methods to meet the expectations of the automotive companies. According to the characteristics of their powertrain, vehicles can be divided into three main categories, namely:
- Internal Combustion Engine Vehicles (ICEV), in which the propulsion system is the internal combustion engine;
- Electric Vehicles (EV), in which the power is provided only by the battery;
- Hybrid Electric Vehicles (HEV), in which at least two power sources are available.
Despite these three powertrain categories are distinguished by fundamental structural differences, one of the main challenges in the automotive industry remains to improve their energy efficiency through sophisticate control algorithms. Against this background, the main focus of my doctoral research is the optimization and control of powertrains. I focus on control problems specific to the architectures mentioned above, namely: knock control for ICEVs to optimize the combustion inside the cylinders, battery aging control for EVs to maximize the battery lifetime, and the development of energy management strategies for HEVs to determine the optimal power split between the available movers.