TY  - JOUR
T1  - Optimization of Charging Time with Solar Panels for Electric Vehicles Using
Fuzzy Logic
AU - Pineda, Cristhian AU - Jimenez Moreno, Robinson AU - Lucia Ramos, Olga 
JO  - International Journal of System Signal Control and Engineering Application
VL  - 11
IS  - 4-6
SP  - 48
EP  - 55
PY  - 2018
DA  - 2001/08/19
SN  - 1997-5422
DO  - ijssceapp.2018.48.55
UR  - https://makhillpublications.co/view-article.php?doi=ijssceapp.2018.48.55
KW  - Energy
KW  -fuzzy logic
KW  -optimization
KW  -photovoltaic panels
KW  -electric vehicles
KW  -power
AB  - 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.
ER  -