Design and Implementation of Parallel Balancing Battery using Adaptive Power Sharing and ANN SOC Estimator

The battery balancing method is commonly used in cell circuits and battery circuits to maintain dc bus power continuity. The power continuity on the DC Bus is guaranteed if the load continues to get a power source, even if either the battery or power supply malfunctions. Besides, the battery balancing method is also used to protect the battery from excessive charging current pliers flowing into the battery. Therefore, the State-of Charge  ( SOC ) should be a concern in the balancing method to keep the battery condition on both systems maintained and avoid overcharging. Artificial Neural Network ( ANN ) is used in this paper to determine the value of battery SOC. Based on simulations using MATLAB 2015, readings of SoC values with ANN showed accurate results with error values below 0.1%. Based on the simulation results, the two batteries, which are arranged so that they have a difference of SoC value of 0.03%, will achieve a balanced SoC value for 3.5 seconds from the simulation.