The goal of this project is to develop control architecture and algorithms for predictive energy management, with the aim to optimize energy efficiency of hybrid electric vehicle (HEV) powertrains. The project builds upon several years of previous research, with the main objective to extend the control architecture to include robust and complete powertrain control, integrating in a model predictive framework engine management settings, electric systems, waste heat recovery and exhaust gas aftertreatment. The motivation for such an integrated approach is the potential fuel savings, which have been demonstrated in previous projects already in a more constrained setting. In addition, the project is expected to contribute to a more efficient design process for complex powertrain control.
The project is closed: 31/12/2019