To address the issue of model parameter inaccuracies in omnidirectional wireless power transfer (OWPT) systems caused by variations in the receiver coil position, this paper proposes an improved parameter identification method based on DC input current and the equivalent output voltage. Firstly, leveraging the primary-side constant-current characteristic of the LCC-S compensation topology network and the equivalent circuit model, the mutual inductance ratio relationships among the multiple coils are analytically derived. Subsequently, by incorporating information regarding the equivalent output voltage of the receiver coil, precise estimation of the mutual inductance values is achieved. Finally, to validate the effectiveness of the proposed method, an OWPT experimental prototype was established, and identification verification was performed under different positional parameters. The experimental results demonstrate that under various position conditions, the mutual inductance identification error of the proposed method is as low as 3.30%, with a maximum error of 7.86%, confirming its robust identification accuracy.

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Parameter Identification of Omnidirectional Wireless Power Transfer Systems Combining Mathematical Analysis and Equivalent Circuit Models

  • Xin Zhang,
  • Dongxiao Huang,
  • Yingxue Chen,
  • Xinhong Yu,
  • Fengxiang Wang

摘要

To address the issue of model parameter inaccuracies in omnidirectional wireless power transfer (OWPT) systems caused by variations in the receiver coil position, this paper proposes an improved parameter identification method based on DC input current and the equivalent output voltage. Firstly, leveraging the primary-side constant-current characteristic of the LCC-S compensation topology network and the equivalent circuit model, the mutual inductance ratio relationships among the multiple coils are analytically derived. Subsequently, by incorporating information regarding the equivalent output voltage of the receiver coil, precise estimation of the mutual inductance values is achieved. Finally, to validate the effectiveness of the proposed method, an OWPT experimental prototype was established, and identification verification was performed under different positional parameters. The experimental results demonstrate that under various position conditions, the mutual inductance identification error of the proposed method is as low as 3.30%, with a maximum error of 7.86%, confirming its robust identification accuracy.