HYBRID CONTROL OF CURRENT STRESS OPTIMIZATION AND MODEL PREDICTIVE CONTROL FOR DUAL ACTIVE BRIDGE DC-DC CONVERTER BASED ON EXTENDED PHASE SHIFTING

Zou Ziyang; Zhang Changzheng; Zhang Jie; Yuan Lei

doi:10.19912/j.0254-0096.tynxb.2024-1679

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (1) : 386-394. DOI: 10.19912/j.0254-0096.tynxb.2024-1679

HYBRID CONTROL OF CURRENT STRESS OPTIMIZATION AND MODEL PREDICTIVE CONTROL FOR DUAL ACTIVE BRIDGE DC-DC CONVERTER BASED ON EXTENDED PHASE SHIFTING

Zou Ziyang, Zhang Changzheng, Zhang Jie, Yuan Lei

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Abstract

To enhance the performance of the dual-active-bridge DC-DC converter under disturbances in DC microgrids, this paper investigates its dynamic response and current stress optimization. A novel hybrid control strategy is proposed, which integrates extended phase shift modulation with model predictive control （MPC）. This strategy is designed to reduce current stress in the converter and improve both dynamic response and steady-state accuracy through optimized control. Additionally, considering the sensitivity of MPC to parameters, an error correction method is introduced as a feedback correction loop to eliminate steady-state errors caused by parameter mismatches, thereby enhancing control accuracy and system robustness. The results from both simulation and experimentation collectively demonstrate the practicality and advantages of the proposed control strategy.

Key words

DC-DC converters / model predictive control / microgrids / current stress optimization / extended phase shift

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Zou Ziyang, Zhang Changzheng, Zhang Jie, Yuan Lei. HYBRID CONTROL OF CURRENT STRESS OPTIMIZATION AND MODEL PREDICTIVE CONTROL FOR DUAL ACTIVE BRIDGE DC-DC CONVERTER BASED ON EXTENDED PHASE SHIFTING[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 386-394 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1679

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