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Modeling of electrical vehicle for state of charge evaluation in smart mobility scenario

The impact of electrical vehicles spread on electricity networks and on mobility from a general point of view, is one of the most topical questions during these years. The key point is to predict autonomies in order to understand what will be the new requirements. This means to tie driver's driving habits and styles, with the actual driving cycles, in order to assess the behavior of the battery and its autonomy. The starting point is to have a vehicle model that can provide an accurate battery charge status, coupled with a realistic simulation of the path. The model presented in this work, starts from well known model in literature and focuses on modeling the variable electric powertrain transfer function, i.e. the efficiency map. To do this an approach based on yield maps is proposed and integrated with the driving cycles synthesized.