NIE Chuanjie, ZHU Jiebei, YU Lujie, et al. ZVS and Current Stress Optimization Strategy for Non-mutating Phase Shift of Dual Active Bridge DC/DC Converters[J]. 2026, 46(6): 2525-2537.
NIE Chuanjie, ZHU Jiebei, YU Lujie, et al. ZVS and Current Stress Optimization Strategy for Non-mutating Phase Shift of Dual Active Bridge DC/DC Converters[J]. 2026, 46(6): 2525-2537.DOI: 10.13334/j.0258-8013.pcsee.250543.
随着双有源桥开关频率的不断提高,开关损耗在总损耗中的占比逐渐增大。零电压开关(zero voltage switching,ZVS)控制策略已成为降低开关损耗的主要手段。然而,传统ZVS控制策略在考虑死区时间时,存在ZVS区域不连续和移相比突变的问题,影响系统稳定。为了解决该问题,提出一种在全功率范围内移相比非突变的ZVS和电流应力优化策略。在中等功率范围内,由于死区时间的影响,所有开关器件的ZVS无法完全实现,以牺牲第1个桥臂开关器件的ZVS为代价,确保移相比的连续变化。在高功率范围内,以移相比连续变化为目标,重新调整分界线,实现中等功率范围与高功率范围的无缝切换。理论分析表明,提出的优化策略能够在全功率范围内保证移相比的连续性。通过搭建小功率实验平台,实验结果验证了所提优化策略的正确性和有效性。
Abstract
As the switching frequency of dual active bridge (DAB) continues to increase
the proportion of switching losses in the total losses gradually increases. The zero voltage switching (ZVS) control strategy has become the main means of reducing switching losses. However
traditional ZVS control strategies have the drawback of discontinuity and abrupt shift in the ZVS region considering dead time
which affects system stability. To address this issue
this paper proposes a ZVS and current stress optimization strategy with non-mutating phase shift control over the full power range. In the medium power range
due to the influence of dead time
the ZVS of all switching devices cannot be fully achieved. This article sacrifices the ZVS of the first bridge arm switching device to ensure continuous variation of the phase shift. In the high-power range
with the goal of continuously changing the shift ratio
the boundary line has been readjusted to achieve seamless switching between the medium-power range and the high-power range. Theoretical analysis shows that the optimization strategy proposed in this article can ensure the continuity of phase shift over the entire power range. By building a low-power experimental platform
the correctness and effectiveness of the proposed optimization strategy are verified.