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)

Associate Professor at Chalmers, Computer Science and Engineering (Chalmers), Data Science

Liang Dai

Post doc at Chalmers, Computer Science and Engineering (Chalmers), Data Science

Sebastien Gros

Visiting Researcher at Chalmers, Electrical Engineering, Systems and control, Automatic Control

Balázs Adam Kulcsár

Professor at Chalmers, Electrical Engineering, Systems and control, Automatic Control

Funding

Chalmers AI Research Centre (CHAIR)

Funding Chalmers participation during 2020–2021

Chalmers

Funding Chalmers participation during 2020–2021

Related Areas of Advance and Infrastructure

Transport

Areas of Advance

More information

Latest update

2020-01-17