"Optimization Framework for Heterogeneous Multi-Receiver WPT Systems Using Digital Twin Modeling (Data set)"

"This paper presents a digital-twin-based optimization framework for the design of single-to-multiple wireless power transfer (WPT) systems incorporating heterogeneous circuit topologies\u2014such as mixed series and parallel configurations\u2014in the receiver modules. The proposed method integrates a high-fidelity analysis module, which combines electromagnetic field simulation with equivalent circuit modeling, and an in-house gradient-based optimization module. The self- and mutual-inductance parameters are extracted from the physical systems and mapped to a digital twin, enabling accurate system-level performance prediction under diverse receiver configurations. The framework is applied to a 1T\u20133Rs WPT system, consisting of two receiver modules with series topology and one with parallel topology. The optimization goal is to maximize overall power transfer efficiency while satisfying the rated capacity required for each receiver's charging module to operate. Through the iterative optimization process, the method successfully identifies an optimal design that maximizes the objective function while satisfying all constraints, and a one-dimensional parameter sweep around the optimal point validates the accuracy of the optimal model. The results demonstrate that the proposed framework effectively identifies the optimal configuration for complex single-to-multiple WPT systems."

本文提出了一种基于数字孪生（digital twin）的优化框架，用于设计单-多无线电能传输（wireless power transfer, WPT）系统，该系统在接收端模块中集成了异构电路拓扑——例如串并联混合配置。所提方法集成了高保真分析模块与自主开发的基于梯度的优化模块，其中高保真分析模块将电磁场仿真与等效电路建模相结合。研究团队从物理系统中提取自感与互感参数，并将其映射至数字孪生模型，从而能够在多样化的接收端配置下实现精准的系统级性能预测。本文将该框架应用于1T-3Rs WPT系统，该系统包含2个采用串联拓扑的接收端模块与1个采用并联拓扑的接收端模块。本次优化的目标为最大化系统总电能传输效率，同时满足各接收端充电模块正常运行所需的额定容量约束。通过迭代优化流程，该方法成功寻得在满足所有约束条件下最大化目标函数的最优设计方案；通过在最优解附近开展一维参数扫描实验，验证了最优模型的准确性。实验结果表明，所提框架能够有效为复杂单-多无线电能传输系统识别出最优配置方案。