Modelling and optimization of energy management systems for plug-in hybrid vehicles
Research Project , 2019 – 2022

In electrified hybrid vehicles, the use of the internal combustion engine and the electric machine can be optimized together. However, for best optimization, one must have information about future trips with the vehicle. Although the future is difficult to predict, historical data of various kinds can be used to better predict the journeys using Artificial Intelligence (AI). In this project, the industry (CEVT) collaborates with several research areas at Chalmers. These research areas connect the powertrain, the control system and cloud-based calculations. The goal is to be able to realize fuel consumption of 5-10% compared to today's energy management strategies. By integrating research with an ongoing industrial project, a realization and evaluation of cutting-edge research within powertrain, regulation and AI modeling is made possible.

Participants

Jonas Sjöblom (contact)

Docent vid Chalmers, Mechanics and Maritime Sciences, Combustion, Förbränningsmotorer och framdrivningssystem

Victor Ebberstein

Doktorand vid Chalmers, Mechanics and Maritime Sciences, Combustion, Förbränningsmotorer och framdrivningssystem

Morteza Haghir Chehreghani

Docent vid Chalmers, Computer Science and Engineering (Chalmers), Data Science

Nikolce Murgovski

Forskare vid Chalmers, Electrical Engineering, Systems and control, Mechatronics

Collaborations

China-Euro Vehicle Technology (CEVT) AB

Gothenburg, Sweden

Funding

Swedish Energy Agency

Funding Chalmers participation during 2019–2022

Related Areas of Advance and Infrastructure

Sustainable development

Driving Forces

Transport

Areas of Advance

Energy

Areas of Advance

More information

Latest update

2020-03-21