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An Accurate Datasheet-Based Full-Characteristics Analytical Model of GaN HEMTs for Deadtime Optimization

机译:基于数据表的GAN HEMTS的完整特征分析模型,用于死区时间优化

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The gallium nitride high electron mobility transistors (GaN HEMTs) are a superior candidate for the new-generation power electronics systems with higher efficiency and power density. However, due to the unique reverse characteristics, the reverse voltage drop of GaN HEMTs is much higher than that of diode. The deadtime loss in GaN-based bridge converters will be comparable to switching losses if the deadtime is not optimized. To optimize the deadtime for higher efficiency, this article proposes an accurate analytical model of GaN HEMTs, including circuit's parasitic inductances, the nonlinear capacitances, the unique reverse characteristics, etc. Taking a GaN-based synchronous buck converter as the example, the proposed model is realized, which fully uses the datasheet to avoid additional experiments. In order to accurately measure the switching current for validation, a novel parasitics-based current measurement method is proposed. The proposed model is verified by simulation in LTspice and experiment, and good agreement is shown. Based on the accurate analytical model, the deadtime is optimized for different load currents to improve the efficiency within the full load range. Compared with the fixed deadtime of 15 ns, the increase of efficiency can be up to 8%. This work will promote the high-frequency application of GaN HEMTs.
机译:氮化镓高电子迁移率晶体管(GaN Hemts)是具有较高效率和功率密度的新型电力电子系统的优越候选者。但是,由于逆向特性独特,GaN Hemts的反向电压降远高于二极管的反向电压降。如果未优化死区款,GaN基桥转换器中的死区损失将与切换损耗相媲美。为了优化更高效率的死区时间,本文提出了一种准确的GaN Hemts的分析模型,包括电路的寄生电感,非线性电容,独特的逆向特性等。采用GaN的同步降压转换器作为示例,所提出的模型实现了,它充分利用数据表来避免额外的实验。为了准确地测量验证的开关电流,提出了一种新的基于寄生的电流测量方法。通过LTSPICE和实验中的模拟验证所提出的模型,并显示了良好的一致性。基于精确的分析模型,定期针对不同的负载电流进行了优化,以提高满载范围内的效率。与15 ns的固定死区相比,效率的提高可达8%。这项工作将促进GaN Hemts的高频应用。

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