ANFIS-Based New Approach for an Optimal Lithium-Ion Battery Charging Control

Lithium-ion rechargeable batteries are considered one of the most energy storage batteries that are used in several portable electrical devices at present. Unwise charges of lithium-ion batteries can damage or reduce the battery life. Charging methods are several but may conflict with manufacturers- recommendations which leads to shortening battery life and reduced efficiency. This paper presents an Adaptive neuro-fuzzy inference system (ANFIS) system that controls fast charging based on manufacturer recommendations using the CC-CV (Constant Current and Constant Voltage) method on Lithium-Ion batteries. The ANFIS model has been trained based on the recommendations of the manufacturer. Based on the simulation results, the proposed system offers accuracy in the matter of current is 1.28 mA (0.044% of the total capacity).