A new generation of algorithms for modern powertrain control
Research Project, 2018
– 2024
The research intends to develop real-time capable model-based supervisory numerical optimal control algorithms tailored to meet the needs of over-actuated powertrains and electrified vehicles.
Participants
Anand Ganesan (contact)
Chalmers, Electrical Engineering, Systems and control
Sebastien Gros
Chalmers, Electrical Engineering, Systems and control
Nikolce Murgovski
Chalmers, Electrical Engineering, Systems and control
Torsten Wik
Chalmers, Electrical Engineering, Systems and control
Derong Yang
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems
Collaborations
Volvo Cars
Göteborg, Sweden
Funding
VINNOVA
Project ID: 2017-05506
Funding Chalmers participation during 2018–2024
Related Areas of Advance and Infrastructure
Sustainable development
Driving Forces
Transport
Areas of Advance
Energy
Areas of Advance
Basic sciences
Roots
C3SE (Chalmers Centre for Computational Science and Engineering)
Infrastructure
ReVeRe (Research Vehicle Resource)
Infrastructure
Publications
2023
Real-Time Mixed-Integer Energy Management Strategy for Multi-Motor Electric Vehicles
Paper in proceeding
2020
Effect of engine dynamics on optimal power-split control strategies in hybrid electric vehicles
Paper in proceeding