双有源桥变换器的新型双重移相电流应力优化控制策略

LIU Chunxi

doi:10.19783/j.cnki.pspc.240690

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双有源桥变换器的新型双重移相电流应力优化控制策略

更新时间：2025-10-19

- 双有源桥变换器的新型双重移相电流应力优化控制策略
- Power System Protection and Control Vol. 45, Issue 7, Pages: 88-98(2025)
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- DOI：10.19783/j.cnki.pspc.240690
  CLC： TM46
- Published：2025
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LIU Chunxi. 双有源桥变换器的新型双重移相电流应力优化控制策略[J]. Power system protection and control, 2025, 45(7): 88-98.
DOI：

LIU Chunxi. 双有源桥变换器的新型双重移相电流应力优化控制策略[J]. Power system protection and control, 2025, 45(7): 88-98. DOI： 10.19783/j.cnki.pspc.240690.

摘要

针对双有源桥变换器双重移相控制时输入输出电压调节比不匹配时的电流应力过高问题，提出一种新型双重移相调制下的电流应力分段优化控制策略，通过降低电感电压的方式来降低电流应力，从而提高系统效率。首先分析了新型双重移相调制的工作原理，验证了降低电感电压可以明显降低电流应力。然后考虑不同的传输功率和电压调节比，对相应工作区间的电流应力进行分段优化，推导出最小电流应力下的最优移相比组合，并结合电流应力分段优化设计了闭环控制策略。最后搭建了双有源桥变换器实验样机，并进行了实验验证。实验结果表明，与其他优化控制相比，所提控制策略在低到中功率范围电流应力和回流功率更小，负载突变时的动态响应速度更快。

Abstract

To address the issue of excessive current stress in dual-active-bridge (DAB) converters caused by mismatched input-output voltage regulation ratios in the dual-phase-shift (DPS) control

a novel segmented current stress optimization control strategy under DPS modulation is proposed. The strategy reduces current stress by lowering the inductive voltage

thereby improving system efficiency. First

the working principle of the novel DPS modulation is analyzed

verifying that reducing the inductive voltage can significantly reduce current stress. Then

considering different transmission power levels and voltage regulation ratios

the current stress in the corresponding operating ranges is optimized in segments. The optimal phase shift ratio combination under the minimum current stress is derived

and a closed-loop control strategy is designed based on the segmented optimization of current stress. Finally

a prototype of the DAB converter is built

and experimental validation is carried out. The results indicate that

compared to other optimized control methods

the proposed control strategy achieves lower current stress and backflow power in the low-to-medium power range

and provides faster dynamic response during load transients.

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Related Author

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Related Institution

WANG Chunhua(1. School of Electric Power, Civil Engineering and Architecture, Shanxi University

School of Mathematics and Statistics, Central China Normal University

ZHANG Guopeng(1. School of Electrical Engineering and Automation, Henan Polytechnic University

Henan International Joint Laboratory of Direct Drive and Control of Intelligent Equipment

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