Although previous studies have proposed a variety of models to characterize diastolic pressure-flow relations, the models' ability to predict capacitance-free pressure-flow relations from dynamic information in individual studies has not been determined. This study tested the ability of a lumped RC model with pressure-dependent parameters to predict diastolic capacitance-free flow during maximum vasodilation in anesthetized dogs. Model parameters were characterized by perturbing the circumflex coronary artery with a ramp pressure waveform that caused coronary artery pressure to decline at rates varying from 30–150 mm Hg/sec. Capacitance-free relations constructed from declining and rising ramp pressure-flow data corresponded with capacitance-free pressure-flow points constructed during constant-pressure coronary artery perfusion (which are model-independent). The model parameters derived from analysis of the ramp data indicate that conductance of the coronary bed varies directly with coronary pressure and is independent of the rate of coronary pressure decay. Values of coronary capacitance vary inversely with coronary artery pressure and with the magnitude of dPix/dt. Thus, a simple, lumped diastolic model with pressure-dependent parameters can predict capacitance-free pressure-flow behavior from dynamic pressure-flow data and characterize model parameters over a wide range of coronary pressure.