Series resonant dual-active-bridge (DAB) converter combines the advantages of bidirectional energy flow, high power density, and high frequency electrical isolation of DAB converters. Additionally, it avoids DC bias and easily achieves soft switching. Model predictive control (MPC) for series resonant DAB converters has been previously studied by researchers. However, it has been found that existing MPC methods are highly sensitive to noise, which significantly affects control performance and leads to a decline in converter output quality. Prolonged operation under these conditions can result in irreversible damage to the converter. In order to address this issue, the mechanism of noise generation and its impacts on MPC are essentially explained. Then, a noise suppression strategy based on virtual capacitor is proposed, effectively reducing the impact of noise on the converter’s control performance. Finally, the correctness and rationality of the proposed noise suppression strategy are verified through a simulation experiment designed by PLECS software.