Design of SEPIC converter for battery charging system using ANFIS.

Rechargeable batteries are the most widely used medium for storing energy today. One type of rechargeable battery that is widely used is lithium-ion batteries. The large use of lithium-ion batteries in society requires companies to research so that the lifetime of these batteries can last a long time and charging can take place quickly. The charging system at this time is less efficient in charging lithium batteries where the time needed is still quite long whereas when lithium batteries are charged with a long time can cause the battery to heat up quickly and can reduce the lifetime of the battery. To overcome this, a system is needed that can control the battery charger process so that the output voltage and current are constant and battery charging is faster. It is hoped that the SEPIC converter system can help many people who forget to unplug the power supply during the charging process to maintain the lifetime of the battery. Setting the output voltage and current in the DC-DC converter can be done using an Adaptive Neuro Fuzzy Inference System which aims to keep the output of SEPIC stable according to the setting point. In this system, the DC-DC converter used is a SEPIC converter which can increase and decrease the output voltage for battery charging. The battery charging process uses the CC-CV method. In the test, the average error is 0.025% whereas when the SOC is 60% to 80% the average error is 0.04%, and when the SOC is 80% to 95% the average error is 0.0005%. [ABSTRACT FROM AUTHOR]