Abstract
Currently, electric vehicles in various countries have started to be used, in some areas their use is combined with utilizing renewable energy in terms of charging the battery. The process of charging electric vehicle batteries takes a long time. Charging duration can be reduced by providing high current and voltage. However, the use of voltage and current above the battery capacity is the main cause of a damaged battery. To overcome the values from solar panels, a DC-DC Converter is needed to adjust the voltage stability. In preventing damage to the battery, it is necessary to choose the right charging method to regulate the incoming power flow according to its needs. Therefore, in this study, a lithium-ion battery fast-charging system is simulated using a solar panel source regulated by the SEPIC Converter. In addition, the charging method used the Constant Current Constant Voltage method (CCCV). Based on the results that have been obtained through simulation testing of the Fast Charging Lithium-Ion battery system, it is proven that the ANFIS (Adaptive Neuro-Fuzzy System) method is more reliable than the Fuzzy Logic Controller method with a voltage error in ANFIS of 0.0065 Volt and a Fuzzy voltage error of 0.04 Volt.
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