Analysis of Soft-Switching Performance for a DC-DC Dual Active Bridge Converter with Randomly Varying Loads
Abstract
This study describes a framework for analyzing the dynamic behavior of power electronic converters with randomly varying loads and sources. A continuous-time load process and dynamic converter model are combined as a stochastic hybrid system (SHS) model. The SHS model enables straightforward calculation of dynamic state moments, which may be used to assess the probability of desirable operating conditions. Zero voltage switching (ZVS) in a dual active bridge (DAB) converter is considered as a case study. The probability that ZVS conditions are satisfied is assessed in two ways. First, an approximation is obtained from first and second moments. Second, a lower bound on the probability of ZVS is determined from Cantelli's inequality.
Recommended Citation
J. A. Mueller and J. W. Kimball, "Analysis of Soft-Switching Performance for a DC-DC Dual Active Bridge Converter with Randomly Varying Loads," Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (2018, Portland, OR), pp. 4246 - 4253, Institute of Electrical and Electronics Engineers (IEEE), Dec 2018.
The definitive version is available at https://doi.org/10.1109/ECCE.2018.8557430
Meeting Name
2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018 (2018: Sep. 23-27, Portland, OR)
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Intelligent Systems Center
Keywords and Phrases
Continuous time systems; Electric inverters; Energy conversion; Hybrid systems; Probability; Solar buildings; Stochastic models; Stochastic systems; Zero voltage switching; Continuous-time; Dual active bridge converter; Dual active bridges; Dynamic behaviors; Dynamic converters; Operating condition; Power electronic converters; Stochastic hybrid systems; DC-DC converters; Stochastic hybrid system
International Standard Book Number (ISBN)
978-1-4799-7312-5
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Dec 2018
