An Automatic Optimization Topology Recommendation Method for DC-DC Converters

Abstract

Current topology recommendation methods for DC-DC converters predominantly rely on manual experience, often involving the analysis of performance metrics (either manually or via a computer) and subsequently selecting the most suitable topology to meet specific engineering requirements. However, as the number of available topologies increases and engineering demands vary, these methods are increasingly unable to provide optimal recommendations. To address this limitation, the present study presents an automatic optimization topology recommendation method (AO-TRM) for DC-DC converters that can accommodate a broad range of engineering requirements. The proposed method begins by identifying precise engineering requirements and then progresses through three key stages: topology generation, analysis, and recommendation. Two engineering applications are used as case studies to validate the effectiveness and capabilities of the proposed AO-TRM. From a pool of 1 186 topologies, the proposed method successfully identified and recommended optimal topologies based on specific requirements. Finally, experimental results are presented, demonstrating the capability, efficiency, and cost-effectiveness of the proposed method.