Modelling and optimization of energy management systems for plug-in hybrid vehicles

Report, 2025

To realize the energy saving potential using electrified propulsion systems, many sub-systems need to interact efficiently. The Energy Management System (EMS) for future powertrains will need to consider not only the propulsion system (electric motor and internal combustion engine), but also auxiliary systems (e.g. climate systems) as well as other requirements (e.g. emissions control). By including more available data than vehicle data (such as GPS data, user-behavior data, etc) an optimized EMS is achievable. One additional problem is to obtain predictions of future driving behavior, and this was be addressed in this project.
This project is a collaboration between Chalmers university of technology (Chalmers) and China Europe Vehicle Technology (CEVT) where CEVT delivered input and data to the project and updated, optimized strategies was delivered from the project to CEVT and at the same time generated knowledge was published in scientific journal papers. Moreover, this project acted as an enabler for increased collaboration between three different departments at Chalmers, thereby paving the way for even stronger research within energy efficient transportation.
The project started in January 2020 with the recruitment of a PhD student. Due to different reasons (including the pandemic), different PhD students and postdocs were engaged, and the project ended in April 2025. Most of the deliverables was reached and important insights were achieved as well as the publication of several journal papers.