An Improved Generalized Average Model of DC-DC Dual Active Bridge Converters
Improvements are proposed for generalized average models of dual active bridge (DAB) converters. Generalized average modeling involves a trade-off between accuracy and tractability. To maintain an acceptable level of complexity, existing DAB models are derived using a first harmonic approximation. These models provide accurate small-signal representations, but are limited as large-signal analysis tools due to persistent steady-state error. This study proposes a modeling framework that provides accurate large and small-signal models without significant increases in overall complexity. The framework describes DAB operation with triple phase shift modulation, and is easily simplified for single, dual, or extended phase shift modulation schemes. The special case of single phase shift modulation, which experiences the most significant large-signal error, is given additional consideration. The framework is applied to open and closed-loop operation, and both large and small-signal models are discussed. Models are validated in simulation and hardware experiments using a small scale DAB prototype.
J. A. Mueller and J. W. Kimball, "An Improved Generalized Average Model of DC-DC Dual Active Bridge Converters," IEEE Transactions on Power Electronics, vol. 33, no. 11, pp. 9975 - 9988, Institute of Electrical and Electronics Engineers (IEEE), Nov 2018.
The definitive version is available at https://doi.org/10.1109/TPEL.2018.2797966
Electrical and Computer Engineering
Intelligent Systems Center
Keywords and Phrases
DC-DC Converters; Economic And Social Effects; Electric Inverters; Power Converters; Average Model; Closed-Loop Operation; Dual Active Bridge Converter; Dual Active Bridges; Generalized Average Models; Large-Signal Analysis; Phase Shift Modulation; Signal Representations; Modulation; Average Modeling; Generalized Average Model
International Standard Serial Number (ISSN)
Article - Journal
© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Nov 2018