DAB converter wide-range regulation and control method based on multi-mode model prediction

Abstract

The invention provides a DAB converter wide-range regulation and control method based on multi-mode model prediction, and relates to the technical field of new energy and direct-current microgrid conversion. By adopting multi-mode control, a DAB converter can operate in a wider voltage range, different control targets are optimized through mode recognition, the method is more suitable for complexworking conditions, and normal operation of the DAB converter is maintained. A mode A, a mode B and a mode C are adopted to carry out wide-range regulation and control on the DAB converter, the transmission efficiency and the dynamic response of the DAB converter are improved, and the calculated amount is reduced under the condition that no Kalman filter exists and steady-state operation is not influenced. The dynamic performance, the steady-state transmission efficiency and the robustness of the DAB converter can be effectively improved in a wide range.

Description

technical field [0001] The invention relates to the technical field of new energy and DC micro-grid conversion, in particular to a wide-range control method for a DAB converter based on multi-mode model prediction. Background technique [0002] With the gradual depletion of fossil energy, countries have begun to attach importance to the development of clean energy and non-fossil energy. After decades of development, renewable energy can now be connected on a large scale and promote the transition from traditional power grids to smart grids, which is in line with current national policies. Require. At present, the most widely used form is the DC microgrid, one of which is the direct-to-direct conversion as the interface of photovoltaic arrays, fuel cells, and high-power energy storage capacitors. At the same time, the DC-DC converter in the field of electric vehicles is also one of the hotspots worldwide. In the field of electric vehicle charging station conversion technolog...

AI Technical Summary

Problems solved by technology

[0006] A big problem with model predictive control is that it depends on the accuracy of the model parameters, but in the actual working environment, due to the disturbance of its own parameters and external load disturbances caused by complex conditions of temperature and stray loss, it is necessary to control the DAB Transformer parameters are identified online to improve tracking performance, that is, model parameters are corrected in real time to improve the robustness of the DAB converter

[0007] Under actual operating conditions, various working conditions will be encountered. Only one operating mode cannot guarantee that the DAB converter can operate under a wide range of voltage conditions. It is necessary to conduct research on this to improve the robustness of the control system.

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