Real-Time Robust and AdaptIve Learning in ElecTric VEhicles (RITE)
Research Project, 2020
– 2021
This proposal is concerned with real-time learning in electric vehicles, focusing on modeling the energy consumption in realistic traffic conditions, e.g. taking into account the impact of weather, wind, temperature, logistics mission, etc. Due to limited battery capacity, energy consumption is very important for electric vehicles. Hence, planning and designing energy-aware navigation tools are of capital importance. Robust and adaptive learning algorithms are in the research focus to solve the above problems.
Participants
Morteza Haghir Chehreghani (contact)
Chalmers, Computer Science and Engineering (Chalmers), Data Science
Sebastien Gros
Chalmers, Electrical Engineering, Systems and control
Balázs Adam Kulcsár
Chalmers, Electrical Engineering, Systems and control
Balázs Varga
Chalmers, Electrical Engineering, Systems and control
Funding
Chalmers
Funding Chalmers participation during 2020–2021
Chalmers AI Research Centre (CHAIR)
Funding Chalmers participation during 2020–2021
Related Areas of Advance and Infrastructure
Transport
Areas of Advance