Parallel Balancing Battery using Adaptive Power Sharing and ANN SOC Estimator

Mokhamad Zuhal Muflih (Politeknik Elektronika Negeri Surabaya)
Gilang Andaru Trinandana (Politeknik Elektronika Negeri Surabaya)
Eka Prasetyono (Politeknik Elektronika Negeri Suurabaya)
Dimas Okky Anggriawan (Politeknik Elektronika Negeri Surabaya)

Jurnal Rekayasa elektrika
Vol 17, No 3 (2021)

The battery balancing method is commonly used in cell circuits and battery circuits to maintain the power continuity on the DC Bus. 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 concern in balancing the maintained battery condition on both systems and avoiding overcharging. Artificial Neural Network (ANN) is used in this paper to determine the value of battery SoC. Based on simulations using MATLAB 2018, SoC values with ANN showed accurate results with error values below 0.1%. Based on the simulation results, the two batteries, which are arranged to have a difference of SoC value of 0.3%, will achieve a balanced SoC value for 28.45 seconds from the simulation.