Real-Time Robust and AdaptIve Learning in ElecTric VEhicles (RITE)
Forskningsprojekt
, 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.
Deltagare
Morteza Haghir Chehreghani (kontakt)
Docent vid Chalmers, Data- och informationsteknik, Data Science
Liang Dai
Doktor vid Chalmers, Data- och informationsteknik, Data Science
Sebastien Gros
Gästforskare vid Chalmers, Elektroteknik, System- och reglerteknik, Reglerteknik
Balázs Adam Kulcsár
Biträdande professor vid Chalmers, Elektroteknik, System- och reglerteknik, Reglerteknik
Finansiering
Chalmers AI-forskningscentrum (CHAIR)
Finansierar Chalmers deltagande under 2020–2021
Chalmers
Finansierar Chalmers deltagande under 2020–2021
Relaterade styrkeområden och infrastruktur
Transport
Styrkeområden