Energy Optimization Method for Connected Vehicles on a Cloud Database

In this paper, we expose an energy optimization method for an ensemble of electrical vehicles. The idea is based on vehicles information sharing in a cloud database. Installed sensors in a vehicle will allow us to know the needed vehicle information. The regrouped data will be used then for building an optimal energy experience which will be shared with the new vehicles. The neural network technique is used here for the learning phases. The proposed application for this work was validated for five connected cars. Matlab Simulink was used for simulating the results and given the present statistics.