Using Sampled-Data Modeling Method to Derive Equivalent Circuit and Linearized Control Method for Dual-Active-Bridge Converter

In this article, based on sampled-data modeling technique, a second-order equivalent circuit that can describe the global dynamic characteristics of dual active bridge (DAB) converter is developed. The proposed technique can characterize the dynamics of the ac current through the transformer and the output voltage. Afterward, by using a sensitive-based tool, named participation factor, it is identified which state variables are critical for system stability and which state variables provide negligible effects. On this basis, the large-signal equivalent circuit is simplified, meanwhile, the parasitic resistance is still taken into account by an intuitive loss branch. This model can be used to comprehensively investigate the relationship of the DAB converter stability versus circuit parameters, controller gain, input/reference voltage, and the load conditions, and these results can be expressed analytically. Furthermore, a linearized control method is proposed to eliminate the nonlinear terms in the equivalent circuit model. It facilitates to reduce the sensitivity of system stability to the load condition and reference voltage and helps to enlarge the stable region. Finally, the proposed model is validated by comparing the results obtained by the model with the simulations and experimental results. The effectiveness of the linearized control method is also demonstrated.

Automated summary

In this article, a second-order equivalent circuit is developed to characterize the global dynamic characteristics of dual active bridge (DAB) converter, by utilizing a sampled-data modeling technique. The participation factor tool is used to identify critical state variables for system stability. The model allows for comprehensive investigation of the relationship between DAB converter stability and circuit parameters, controller gain, input/reference voltage, and load conditions.