TY - JOUR
T1 - Wide-Load Range Multiobjective Efficiency Optimization Produces Closed-Form Control Solutions for Dual Active Bridge Converter
AU - Zhou, Lu
AU - Gao, Yihan
AU - Ma, Hao
AU - Krein, Philip T.
N1 - Funding Information:
Manuscript received December 4, 2020; revised January 6, 2021; accepted January 21, 2021. Date of publication January 27, 2021; date of current version May 5, 2021. This work was supported in part by the Zhejiang University/University of Illinois at Urbana-Champaign Institute. (Corresponding author: Hao Ma.) Lu Zhou and Hao Ma are with the College of Electrical Engineering, Zhe-jiang University, Hangzhou 310027, China, and also with the Zhejiang University/University of Illinois at Urbana–Champaign Institute, Haining 314400, China (e-mail: 11810047@zju.edu.cn; mahao@zju.edu.cn).
Publisher Copyright:
© 1986-2012 IEEE.
PY - 2021/8
Y1 - 2021/8
N2 - This letter proposes a multiobjective efficiency optimization method for triple-phase-shift (TPS) control of isolated dual active bridge converters (DABs). A comprehensive optimization of inductor current stress, inductor rms current, and zero-voltage switching (ZVS) is presented to reduce conduction losses, magnetic losses, and switching losses. A genetic algorithm is used to search for optimal solutions of the DAB nonconvex optimization problem. Analysis of these solutions gives rise to closed-form expressions for optimum TPS control angles, valid over various power and voltage levels. These can be realized for real-time operation. A 3.3-kW experimental prototype is used to verify the proposed optimized modulation control.
AB - This letter proposes a multiobjective efficiency optimization method for triple-phase-shift (TPS) control of isolated dual active bridge converters (DABs). A comprehensive optimization of inductor current stress, inductor rms current, and zero-voltage switching (ZVS) is presented to reduce conduction losses, magnetic losses, and switching losses. A genetic algorithm is used to search for optimal solutions of the DAB nonconvex optimization problem. Analysis of these solutions gives rise to closed-form expressions for optimum TPS control angles, valid over various power and voltage levels. These can be realized for real-time operation. A 3.3-kW experimental prototype is used to verify the proposed optimized modulation control.
KW - Current minimization
KW - dual active bridge converters (DABs)
KW - nondominated sorting genetic algorithm
KW - rms current
KW - triple-phase-shift (TPS) control
KW - zero-voltage switching (ZVS)
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U2 - 10.1109/TPEL.2021.3054970
DO - 10.1109/TPEL.2021.3054970
M3 - Article
AN - SCOPUS:85100472582
SN - 0885-8993
VL - 36
SP - 8612
EP - 8616
JO - IEEE Transactions on Power Electronics
JF - IEEE Transactions on Power Electronics
IS - 8
M1 - 9337193
ER -