双输入相移LLC变换器最大功率估计的神经网络模型

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE) Pub Date : 2023-02-19 DOI:10.1109/CPERE56564.2023.10119625

A. Hussein, Sumana Ghosh, Abdullah Alhatlani, I. Batarseh

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引用次数: 0

摘要

本文提出了双输入相移LLC变换器输出功率随开关频率变化的神经网络模型。该模型可用于快速有效地跟踪变换器的最大功率点。给出了模型的推导和验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Neural Network Model for Maximum Power Estimation in Dual-Input Phase-Shifted LLC Converter

This paper proposes a neural network model for the output power as a function of switching frequency of a dual-input phase-shifted LLC converter. The proposed model can be used to allow fast and efficient maximum power point tracking of the converter. Derivation of the model followed by verification are presented.

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来源期刊

2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE)

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