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Analytical modeling demonstrates up to 95% power coverage for silicon-carbide converters across wide battery voltages, revealing sensitivity limits in optimal transformer selection.
Mobile charging stations can deliver energy at the point of demand, but their isolated battery-to-battery DC–DC stages must accommodate independent source and load battery-voltage variation. This study develops a hierarchical, domain-wide analytical framework for a fixed-hardware 20 kW silicon-carbide phase-shifted full-bridge converter with a four-diode rectifier. The independently varied terminal domain spans 586–840 V at the source and 495–738 V at the load. The framework combines rated-power coverage, constraint-resolved derating, modeled semiconductor-loss screening, analytical commutation-capacitance budgeting, deterministic sensitivity assessment, and selected-point switching-level refinement. For four screened transformer turns ratios, nominal area-based rated-power can reach 95%. However, a three-point leakage-inductance sensitivity changes the nominal ordering at −10%, showing that the sub-one-percentage-point coverage separation does not establish a robust unique ratio. Selected-point commutation-cell and full-converter simulations show that the analytical added-capacitance screening bound is useful for rapid screening but can be optimistic near difficult high-source-voltage and light-load conditions. The full-converter results also retain high-capacitance light-load cases in which target power is not reachable at the phase-shift-domain boundary. The proposed evidence hierarchy therefore supports rapid candidate screening, identifies sensitive boundaries, and directs detailed switching refinement without claiming a universal transformer-ratio optimum or replacing hardware measurements.
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Qiu et al. (2026) studied this question.
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