An On-Line Battery Parameter Detection Algorithm for Sinusoidal Ripple Charge (SRC) Method

Sinusoidal Ripple Current (SRC) charge method is a new technique which has been more developed among fast charge algorithms due to higher charge speed, lower temperature rise and adverse effects on battery lifetime. Studies have been focused on presenting an appropriate algorithm to find optimal charge frequency, which minimizes battery impedance. Some of proposed methods suffer from accuracy and other methods increase complexity in practice. In this paper, a new simple online method based on battery parameters detection has been developed to overcome complexity of previous works. Although this method is simple, it has enough accuracy to extract battery parameters and find the optimal charge frequency. In order to show the performance of proposed algorithm, a laboratory battery charger consists of a Phase Shifted Full Bridge (PSFB) DC/DC converter has been employed to test proposed algorithm. In addition, results of the proposed algorithm have been compared with conventional CC/CV algorithm and fixed optimal frequency charge algorithm. Experimental results show, proposed algorithm to find optimal frequency reduces charge time about 9.25% in comparison with conventional CC/CV algorithm and 0.25% compared to fixed optimal frequency charge algorithm.