<p>Soft-switching circuits is currently a focus in converter technology research. However, the inherent complexity of soft-switching converter topology, particularly under load disturbances, leads to variations in the number of operating modes within a switching cycle, posing significant challenges to unified modeling. To address this issue, this study proposes a novel hybrid modeling approach based on mixed logical inequalities. The proposed method analyzes switching conditions among different operating modes of complex circuits and constructs a unified converter model by integrating the state equations of multiple modes through logical variables, providing an accurate representation of the circuit’s dynamic behavior. Moreover, the control strategy of the converter is embedded into the hybrid model, enabling the representation of converters with control mechanisms within the modeling framework. The effectiveness of the proposed approach is validated through simulation and experimental studies on a zero voltage switching buck converter. Simulation results demonstrate that the hybrid model accurately captures the converter’s operation across five distinct operating modes, with strong alignment between the simulations and the theoretical analysis, confirming the model’s validity and effectiveness. In addition, experimental measurements under identical conditions demonstrate high consistency with the simulation outcomes, further affirming the capability of the hybrid modeling method in accurately representing complex circuit behavior.</p>