Authors : Cristhian Pineda, Robinson Jimenez Moreno and Olga Lucia Ramos
Abstract: During the last decades, advances have been made to recharge vehicles with photovoltaic panels but because the energy supply of a panel depends on several environmental factors its contribution is minimal at the time of commissioning. For this reason, photovoltaic panels are used in electric vehicles that are currently marketed as electric charger for small electrical systems. In this study it is presented a methodology based on the fuzzy logic that allows to optimize the charging time with photovoltaic panels for electric vehicles in the rest hours of the vehicle. Given the fact that in urban areas, vehicles last most of the time at rest, since, their main function is to transport it is sought to take advantage of this time to minimize the charging time in the power grid and to reduce energy consumption of non-regenerative static sources and also the impact that will have the power grid, due to a massification of electric vehicles. This study provides as result an algorithm that optimizes the rest time of the electric vehicles to perform the charge, reducing the time of charging in the power grid and increasing the time of charging with photovoltaic panels.
Cristhian Pineda, Robinson Jimenez Moreno and Olga Lucia Ramos, 2018. Optimization of Charging Time with Solar Panels for Electric Vehicles Using Fuzzy Logic. International Journal of Signal System Control and Engineering Application, 11: 48-55.