Multi-Objective Optimization Control Strategy of Dual-Active-Bridge DC-DC Converter in Electric Energy Router Application
Zhou Bingkai1, Yang Xiaofeng1, Zhang Zhi1, Li Zejie1, Zheng Trillion Q1, Pavel Kobrle2
1. School of Electrical Engineering Beijing Jiaotong University Beijing 100044 China; 2. Faculty of Electrical Engineering Czech Technical University in Prague Prague 16627 Czech Republic
Abstract:For improving the transmission efficiency and dynamic characteristics of dual- active-bridge (DAB) converter, a hybrid control strategy for backflow power optimization is proposed based on extended-phase-shift output voltage model predictive control and gradient descent algorithm. Firstly, the transmission power mathematical models of DAB converter under single-phase-shift and extended-phase-shift control are established. The mechanism of backflow power is analyzed, and the output voltage state space averaging equation under extended-phase-shift control is also derived. Secondly, based on the output voltage model predictive control of DAB converter, a backflow power optimization strategy based on gradient descent algorithm is proposed. A scale-down experimental prototype of DAB converter was built and compared with the traditional single-phase-shift control. The experimental results have verified the effectiveness and correctness of the proposed control strategy.
周兵凯, 杨晓峰, 张智, 李泽杰, 郑琼林, Pavel Kobrle. 能量路由器中双有源桥直流变换器多目标优化控制策略[J]. 电工技术学报, 2020, 35(14): 3030-3040.
Zhou Bingkai, Yang Xiaofeng, Zhang Zhi, Li Zejie, Zheng Trillion Q, Pavel Kobrle. Multi-Objective Optimization Control Strategy of Dual-Active-Bridge DC-DC Converter in Electric Energy Router Application. Transactions of China Electrotechnical Society, 2020, 35(14): 3030-3040.
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