Real-Time Robust and AdaptIve Learning in ElecTric VEhicles (RITE)

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.