A JAYA Optimization Algorithm Based Unified DPS Control for DAB Based Off-Board EV Chargers

Abstract

This paper presents a generalized technique for unique selection of both phase shifts of dual phase shift (DPS) control of DAB. The technique is basically used to minimize the peak current stress while maintaining required amount of power flow with soft switching. For optimizing the current stress at different voltage conversion ratio, multi-objective, multi-constraint Jaya algorithm is used. This algorithm basically uses unified current stress as the objective function with mathematical expression of unified power flow is the equality constraint and phase shift boundaries are inequality constraint. This control flow not only provided unique selection criterion for phase shift with minimized current stress but also the phase shift selection considers soft switching performance under all loading conditions. It shows the simulation as well as experimental results on a 1.5 kW designed system. The results are taken with voltage conversion ratio ‘K=V1/NV2’ varying from 1 to 0.28 under different loading condition. From obtained results it is shown that when voltage conversion ratio is K=1, then no extra increment in peak of series inductor current. When K=0.28 there is slightly increment in peak of series inductor current. A detailed Simulink control flow model is shown with its closed loop DSP experimental implementation. This model is designed for the control of dual active bridge based off-board charging system.