A Parameter Identification and Control Method Based on Compensation Topology With Strong Misalignment Tolerance
Jianwei Mai, Ao Yang, Yijie Wang, Dianguo Xu
Abstract
The working state of the online detection system can improve the visualization performance of the inductive power transfer (IPT) system. The main variation parameters are load and mutual inductance. The compensation topology with strong misalignment tolerance and constant voltage/current has a one-to-one relationship between mutual inductance, load, and system input impedance. Based on this relation, a parameter identification method of the IPT system is proposed in this article. The errors of parameter identification are reduced by the design method of load equivalent impedance. In addition, the load and coupling independent characteristics of compensation topology with strong misalignment tolerance can further reduce the identification error of output current. A prototype is built to measure the parameter identification accuracy of the system. The parameter identification errors of mutual inductance, load resistance, and output current are 1.6%, 4.3%, and 1.1%, respectively. The identification error of output current is far less than the errors of load and mutual inductance.