Modern society has been faced with environmental issues from the large-scale use of fossils. In hazards, measurements of large urban air centers have been installed at levels that can represent health. One of the ways to combat these adversities is through the adoption of new forms of energy for vehicles. Some solid energy options and renewable energy sources are being proposed, such as solid state electric cells/or better of renewable battery and battery type.

However, some logistical and challenges need to be solved to enable the adoption of electric vehicles on a large scale. One of the main challenges is related to the limited autonomy of the batteries, linked to the considerably high recharge time. One of the solutions proposed by the market, specifically for the sheets of distribution vehicles distributed by the charging centers of the other electrical loads already installed in the state of complete batteries.

Considering the scenario of expansion of electric mobility proposed by Voltz based on the idea of ​​supplying vehicles through battery exchange stations, this research and development project from the partnership CIn-UFPE, UFAPE, IFPE and Voltz aims to build computational logistical support for planning urban displacements.

To optimize the quality of the data obtained from the telemetry system of the proposed motorcycles, mathematical models for predicting the pattern of electric energy consumption of motorcycles. The topology of the total load terrain, driving mode, wind and other factors are decisive for the maneuverability of an electric vehicle. With bases it is possible to develop mathematical models to understand the influence of each of these factors, through models that can predict the behavior of motorcycle energy consumption.