In hybrid vehicles a combustion engine is complemented with an electric generator, an electrical machine and a battery. To reduce the exhaust emissions from the combustion engine after-treatment systems are employed. From a controls perspective the challenges are to make the best use of all subsystems for all use cases the vehicle is involved in. For electric hybrid vehicles, it is common to place an energy management system on top of the control hierarchy, which primarily decide on how the power should be split between the electric machine and the combustion engine. In today’s energy management systems, the dynamic effects of the combustion system and after-treatment systems are mostly neglected. This can lead to inefficient use of the overall propulsion system of the vehicle in terms of both emissions as well as fuel consumption. This project aims to:
1) Assess the potential of an energy management controller that is aware of the (full) state of the combustion and after-treatment system.
2) Design an energy management control architecture that can utilize state-information from the combustion system (including the after-treatment system) and provide near optimal control of the involved subsystems for a range of vehicle drive cycles.
3) Demonstrate the benefit of the developed control structures by vehicle testing in a hybrid test rig for a limited set of drive cycles.