5 research outputs found
Data-Driven Modeling with Experimental Augmentation for the Modulation Strategy of the Dual-Active-Bridge Converter
For the performance modeling of power converters, the mainstream approaches
are essentially knowledge-based, suffering from heavy manpower burden and low
modeling accuracy. Recent emerging data-driven techniques greatly relieve human
reliance by automatic modeling from simulation data. However, model discrepancy
may occur due to unmodeled parasitics, deficient thermal and magnetic models,
unpredictable ambient conditions, etc. These inaccurate data-driven models
based on pure simulation cannot represent the practical performance in physical
world, hindering their applications in power converter modeling. To alleviate
model discrepancy and improve accuracy in practice, this paper proposes a novel
data-driven modeling with experimental augmentation (D2EA), leveraging both
simulation data and experimental data. In D2EA, simulation data aims to
establish basic functional landscape, and experimental data focuses on matching
actual performance in real world. The D2EA approach is instantiated for the
efficiency optimization of a hybrid modulation for neutral-point-clamped
dual-active-bridge (NPC-DAB) converter. The proposed D2EA approach realizes
99.92% efficiency modeling accuracy, and its feasibility is comprehensively
validated in 2-kW hardware experiments, where the peak efficiency of 98.45% is
attained. Overall, D2EA is data-light and can achieve highly accurate and
highly practical data-driven models in one shot, and it is scalable to other
applications, effortlessly.Comment: 11 page
Transient dc bias elimination of dual-active-bridge dc-dc converter with improved triple-phase-shift control
A transient dc-bias current due to the voltage-second imbalance of isolated bidirectional dual-active-bridge (DAB) converters for the disturbance in line or load may result in the transformer saturation and oscillations in both sides dc currents. This article focuses on the transient dc-bias current elimination by using an improved triple-phase-shift (ITPS) control for DAB converters. The inductor peak current stress optimization is adopted in the proposed ITPS to determine the steady-state phase-shift variables. Originated from the dc-bias current model of DAB converters with the TPS control, the transient phase-shift adjustment strategy can be determined, which has the ability to improve the inductor current changing slope and shorten the settling time. Both simulation and experiments for different conditions are provided to evaluate main dynamic indexes such as the transient period, dc-bias current, and inductor current stress for three different transition cases. The proposed ITPS is proved as a promising solution in eliminating the dc-bias current, minimizing the transient current stress