Parameter Identification of the Series Inductance in DAB Converters
Zhiqiang Guo, Yong Luo, Kai Sun
Abstract
This letter presents a parameter identification of the series inductance in dual active converter. In the optimized modulation strategies and feedforward control, the series inductance is a key parameter to determine the performance of the converter. The series inductance is varied with many factors, such as the temperature, air gap, and switching frequency. The deviation value of the series inductance will cause the failure of the control strategy. In this letter, a parameter identification method is presented based on the recursive least squares algorithm. By using this method, the real value of the series inductance is derived. Finally, the effectiveness of the identification method is verified by the feedforward control in dual active bridge converters. The feedforward control can achieve good dynamic response by using the identification method, even if the real series inductance value is unknown.