The carrier-based PWM method (CBPWM) and the space vector PWM method (SVPWM) are two main modulation methods for diode clamped multilevel converters, and there is a certain relationship between these two modulation strategies. For general 8 segments SVPWM modulation sequence in the multilevel inverter, the inherent relationship between these two modulation methods have been researched, but the relationship between CBPWM and SVPWM in an arbitrary level sequence has not been obtained. To solve this problem, an in-depth study of the relationship between the multilevel SVPWM method and the CBPWM method has been made in this paper. By decomposing the modulation wave, and the SVPWM can be achieved by multi-modulation waves CBPWM. And the relationship between SVPWM and CBPWM in N level with an arbitrary number of segments sequence are obtained. Thus, through simple multi-modulation waves CBPWM strategy, less THD in the spectrum and higher DC voltage utilization switching sequences of multilevel inverters can be obtained. The simulation and experimental results illustrate that the relationship between CBPWM and SVPMM is correct. INDEX TERMS Space vector modulation (SVPWM), decomposing modulation wave, relationship.
In order to comprehensively consider the energy transmission efficiency of the isolated Dual-Active-Bridge (DAB) DC-DC converter, this paper proposes a control method that maximizes the power transmission efficiency of the whole converter and optimizes the stress of the switching device by using the dual-phase-shifting control mode under the premise of simultaneously considering current stress, back-flow power and power loss. Firstly, we compare and analyze the advantages and disadvantages of DPS, SPS and TPS, and finally determine the control method using DPS. Then analyze and compare the basic principles of the traditional current stress optimization target control method and the comprehensive efficiency optimal control method proposed in this paper. We compared the working mode analysis with the stability, current stress and application range of soft-switching. The adaptive genetic algorithm is used to optimize the two duty ratio degrees of freedom of the control strategy, and the optimal duty ratio corresponding to the objective function is obtained. Finally, the correctness of the control method and the superiority of the power transmission efficiency are proved by simulation and experimental comparison.
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