The e-mobility paradigm comes with new possibilities and difficulties to overcome. The vehicle is now an entity that actively interacts with other vehicles, with the cloud and with the environment and a lot of information can be gathered for electronic horizon reconstruction so that the thermal management system uses the least electrical energy as possible while keeping all the systems in an optimal temperature range. This study investigates the possibility and the effectiveness of developing predictive control strategies for the thermal management of electrified vehicles in cold weather, exploiting V2X connectivity information in order to minimize fast-charging duration. The starting point was the existing CRF virtual test rig of the Fiat 500e, and this work tries to address some areas of improvements of the thermal management model and strategies.