Switching mode power converters are being extensively applied in different power conversion systems. Parameter identification comprises a set of techniques focused on extracting the relevant parameters of the converters in order to generate accurate discrete simulation models or to design enhanced condition diagnosis schemes. This article applies a noninvasive optimization approach based on the nonlinear least squares algorithm to determine the model parameters of different commercially available dc–dc power converters (buck, boost, and buck–boost) from experimental data, including the parameters related to passive, parasitic, and control loop elements. The proposed approach is based on a noninvasive on-line acquisition of the input/output voltages and currents under both steady state and transient conditions. The proposed method can also be applied to many other applications requiring precise and efficient parameter identification, including rectifiers, filters, or power supplies among others.

中文翻译：

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DC-DC转换器参数辨识的非线性最小二乘优化

开关模式电源转换器广泛应用于不同的电源转换系统。参数识别包括一组专注于提取转换器相关参数的技术，以生成准确的离散仿真模型或设计增强的状态诊断方案。本文应用基于非线性最小二乘算法的无创优化方法，从实验数据中确定不同商用 DC-DC 电源转换器（降压、升压和降压-升压）的模型参数，包括与无源、寄生参数相关的参数。 , 和控制循环元素。所提出的方法基于在稳态和瞬态条件下对输入/输出电压和电流的无创在线采集。