结合电流应力优化的DAB变换器模型预测控制

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中图分类号：TM46 文献标志码：A 文章编号：1007-449X（2025）11-0133-11

Model predictive control of DAB converter with current stress optimization

CHEN Quan¹， TANG Kaile'，LI Rui²，DING Jinjin³， WANG Xunting³WANG Ming²， WANG Qunjing1

（1.Green Industry Innovation Research Institute，Anhui University，Hefei 23O6O1，China; 2. China Electric Power Research Institute Co.，Ltd.，Beijing 1OO192，China; 3.Electric Power Research Institute of State Grid Anhui Electric Power Co.，Ltd.，Hefei 230601，China）

Abstract：In order to improve the transmission eficiency and dynamic performance of dual active bridge DC-DC（DAB） converters，a model predictive control scheme based on extended phase shift combined with current stress optimization was proposed to address the problems of high conduction losses in power devices and poor tracking of the actual output voltage.Firstly，the functional relationship between current stress，transmission power and phase shift angle of the DAB converter was established； Secondly，with current stress per unit value as the optimization objective and transmission power and soft switching as boundary conditions，improved white shark optimizer was used to solve a mathematical model with mixed constraints of nonlinear equations and inequalities under two degrees of freedom； to improve the accuracy of controlling the system，a cost function under two-step model predictive control was constructed; Then， a dead zone PI compensation measure was proposed to mitigate the static deviation caused by parameter mismatch errors；Finally，an SiC-based experimental prototype was constructed to validate the proposed scheme.The results show that it performs beter in terms of efficiency and dynamic performance compared to the extended phase shift traditional voltage closed loop control.

Keywords：dual active bridge DC-DC converter; extended phase shift； current stress； IWSO； dynamicperformance; model predictive control

0引言

近年来，面对全球温室效应加剧和能源短缺等问题，以互联网技术为支撑、分布式新能源为核心的新型电力电子技术迅速发展。（剩余12556字）