Evaluating and estimating vehicle energy consumption has always been an important issue while determining CO2 emissions. Several studies have focused on the energy consumption of various types of vehicles (thermal, hybrid or electric) with the aim of reducing consumption. Eco-routing is our first concern and our work aims to develop energy-efficient routing tools to promote the use of electric vehicles (EV). It should be noted that several factors make challenging the development of this type of e-mobility. The most significant are autonomy, the lack of charging stations, battery recharge time and recuperation capability (e.g. braking phases or downhill’s). The main objective of this paper is to present a preliminary study for the electric vehicle route planning. We determine a consumption cost function based on a dynamic consumption model with instantaneous speed data. The main contribution is an evaluation of the transition impact from this data type to aggregated speed data derived from travel time information.