For dual-active-bridge (DAB) DC-DC converters, a variable frequency triple-phase-shift (VF-TPS) modulation strategy based on a particle swarm optimization (PSO) algorithm was proposed to solve the problem of the low efficiency of TPS modulation in larger power conditions. To facilitate the implementation of the PSO algorithm, the mathematical expressions between the transmission power or the RMS square of the inductance current and four control variables including the switching frequency and three phase-shift duty cycles are simplified by the Fourier series decomposition method. An objective function of the particle fitness is presented to find the optimal control variables at any reference transmission power, which achieves the minimum inductance RMS current in the full power range and improves the efficiency under heavy loads. In addition, the PSO algorithm is used to design the appropriate switching frequency range and inductance. Finally, a 1.2 kW DAB converter prototype was established, and experimental results verify the correctness and feasibility of the modulation strategy.

针对双有源桥DC-DC变换器，提出了一种基于粒子群优化（PSO）算法的变频三相移（VF-TPS）调制策略，以解决直流效率低的问题。大功率条件下的TPS调制。为便于实施PSO算法，通过傅里叶级数分解方法简化了传输功率或电感电流的RMS平方与包括开关频率和三个相移占空比的四个控制变量之间的数学表达式。提出了粒子适应度的目标函数，以在任何参考传输功率下找到最佳控制变量，从而在整个功率范围内实现了最小电感RMS电流，并提高了重负载下的效率。此外，PSO算法用于设计适当的开关频率范围和电感。最后，建立了一个1.2 kW DAB转换器原型，实验结果验证了该调制策略的正确性和可行性。