Track Description

Electric Mobility industry faced different challenges to readjust E-mobility in nowadays life, particularly in smart cities. In the complex vehicle environment, state-of-art technologies are required to consider all essential variables are influencing it while conventional algorithms have limited capabilities for combating such a challenge. This session is dedicated to introducing, reviewing and exploring the applications of Machine Learning and Big Data on E-mobility as promising solutions for future trends

Topics of interest of this special session include, but are not limited to:

  • Innovative charging systems.
  • G2V and V2G and concepts.
  • Integrating EV with Storage and Grids.
  • Intelligent transportation management systems.
  • Driving condition learning and prediction in vehicular network.
  • Battery health prognosis system.
  • Range estimation.

Nonetheless, different topics regarding Machine Learning and Big Data Applications on E-Mobility are welcome.

For further information please contact Michela Longo, Seyedmahdi Miraftabzadeh and Federica Foiadelli.

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