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<p>Wireless Power Transfer (WPT) is a safe, flexible, and intelligent power transmission technology that has extensive applications in fields such as electric vehicles (EVs), unmanned aerial vehicles (UAVs), and the Internet of Things (IoT). However, in practical applications, coil misalignment is an inevitable phenomenon in WPT systems, which can degrade both the transmission performance and reliability of the system. Therefore, this paper proposes a switching strategy based on a receiving coil position estimation model, which is constructed using the Sparrow Search Algorithm (SSA)-Back Propagation (BP) algorithm. Furthermore, a comparative analysis was conducted with other algorithms, such as the Genetic Algorithm (GA)-BP and Particle Swarm Optimization (PSO)-BP algorithms. The results revealed that the estimated errors for the SSA-BP, PSO-BP, and GA-BP algorithms are approximately 1.4%, 2.3%, and 3.9%, respectively. The proposed SSA-BP algorithm demonstrated a significant performance advantage over the other optimization algorithms. To validate the proposed strategy, we developed an experimental platform for array-based wireless power transfer systems. The platform was used to analyze the position estimation accuracy of the SSA-BP model under different misalignment scenarios of the receiving coil. The experimental results demonstrated the feasibility of the switching strategy, showing an average position estimation error of 5% for longitudinal misalignments ranging from 0 to 10.6&#xa0;cm. Notably, when the misalignment was 5&#xa0;cm, the system’s transmission efficiency improved from 86% to 90.5% following the implementation of the switching strategy.</p>

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Research on Switching Strategy of Array Wireless Power Transfer System Based on Receiving Coils Position Estimation Model

  • 期刊论文

  • 发表日期：

    2026年3月12日

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  • Yan Liu,
  • Jingwen Pan,
  • Xingfang Wang

摘要

Wireless Power Transfer (WPT) is a safe, flexible, and intelligent power transmission technology that has extensive applications in fields such as electric vehicles (EVs), unmanned aerial vehicles (UAVs), and the Internet of Things (IoT). However, in practical applications, coil misalignment is an inevitable phenomenon in WPT systems, which can degrade both the transmission performance and reliability of the system. Therefore, this paper proposes a switching strategy based on a receiving coil position estimation model, which is constructed using the Sparrow Search Algorithm (SSA)-Back Propagation (BP) algorithm. Furthermore, a comparative analysis was conducted with other algorithms, such as the Genetic Algorithm (GA)-BP and Particle Swarm Optimization (PSO)-BP algorithms. The results revealed that the estimated errors for the SSA-BP, PSO-BP, and GA-BP algorithms are approximately 1.4%, 2.3%, and 3.9%, respectively. The proposed SSA-BP algorithm demonstrated a significant performance advantage over the other optimization algorithms. To validate the proposed strategy, we developed an experimental platform for array-based wireless power transfer systems. The platform was used to analyze the position estimation accuracy of the SSA-BP model under different misalignment scenarios of the receiving coil. The experimental results demonstrated the feasibility of the switching strategy, showing an average position estimation error of 5% for longitudinal misalignments ranging from 0 to 10.6 cm. Notably, when the misalignment was 5 cm, the system’s transmission efficiency improved from 86% to 90.5% following the implementation of the switching strategy.