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.