ابوالفضل خدادي فرد

In this thesis, the design and control of a CLLC resonant converter using Model Predictive Control (MPC) for electric vehicle chargers is investigated. Resonant converters are of significant interest in power electronics systems due to their unique characteristics, such as high efficiency and the possibility of soft switching. This research aims to enhance the performance of converters under various operational and load conditions. First, the CLLC converter is designed, followed by a comprehensive analysis of its operational modes to identify its strengths and weaknesses. Subsequently, the Model Predictive Control (MPC) method is implemented to improve control precision and reduce output errors. The results demonstrate that the application of MPC can lead to improved converter performance and reduced response time. Finally, the performance of the converter is compared and eva‎luated against traditional control methods.

مبدل CLLC , كنترل پيش‌بين مدل (MPC) , شارژر خودروي الكتريكي

CLLC Converter , Model Predictive Control (MPC) , Electric Vehicle Charger

Abolfazl Khodadifard

Dr.Hossein Heydari