Artificial-Intelligence-Based Design for Circuit Parameters of Power Converters

• URL: http://arxiv.org/abs/2308.05751v1
• Date: Sun, 30 Jul 2023 08:39:41 GMT
• Title: Artificial-Intelligence-Based Design for Circuit Parameters of Power Converters
• Authors: X. Li, X. Zhang, F. Lin, F. Blaabjerg
• Abstract summary: An artificial-intelligence-based design (AI-D) approach is proposed in this article for the parameter design of power converters. To mitigate human-dependence for the sake of high accuracy and easy implementation, simulation tools and batch-normalization neural network (BN-NN) are adopted. The proposed AI-D approach is validated in the circuit parameter design of the synchronous buck converter in the 48 to 12 V accessory-load power supply system in electric vehicle.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Parameter design is significant in ensuring a satisfactory holistic performance of power converters. Generally, circuit parameter design for power converters consists of two processes: analysis and deduction process and optimization process. The existing approaches for parameter design consist of two types: traditional approach and computer-aided optimization (CAO) approach. In the traditional approaches, heavy human-dependence is required. Even though the emerging CAO approaches automate the optimization process, they still require manual analysis and deduction process. To mitigate human-dependence for the sake of high accuracy and easy implementation, an artificial-intelligence-based design (AI-D) approach is proposed in this article for the parameter design of power converters. In the proposed AI-D approach, to achieve automation in the analysis and deduction process, simulation tools and batch-normalization neural network (BN-NN) are adopted to build data-driven models for the optimization objectives and design constraints. Besides, to achieve automation in the optimization process, genetic algorithm is used to search for optimal design results. The proposed AI-D approach is validated in the circuit parameter design of the synchronous buck converter in the 48 to 12 V accessory-load power supply system in electric vehicle. The design case of an efficiency-optimal synchronous buck converter with constraints in volume, voltage ripple, and current ripple is provided. In the end of this article, feasibility and accuracy of the proposed AI-D approach have been validated by hardware experiments.

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