Study on the Parameter Optimization of Soft-switching DC/DC Converters with the Response Surface Methodology, a SPICE Model, and a Genetic Algorithm

Shuai Liu; Li Wei; Yicheng Zhang; Yongtao Yao

Study on the Parameter Optimization of Soft-switching DC/DC Converters with the Response Surface Methodology, a SPICE Model, and a Genetic Algorithm

Vol. 15, No. 2, pp. 479-486, Mar. 2015

10.6113/JPE.2015.15.2.479

Parameters design optimization

RSM

Soft-switching converter

SPICE model

PDF

Abstract

The application of soft-switching techniques is increasing in the DC/DC converter area. It is important to design soft-switchingparameters to ensure the converter operates properly and efficiently. An optimized design method is presented in this paper. Theobjective function is the total power loss of a converter, while the variables are soft-switching parameters and the constraints are theelectrical requirements for soft-switching. Firstly, a response surface methodology (RSM) model with a high precision is built, andthe rough optimized parameters can be obtained with the help of a genetic algorithm (GA) in the solution space determined by theconstraints. Secondly, a re-optimization is conducted with a SPICE model and a GA, and accurate optimized parameters can beobtained. Simulation and experiment results show that the proposed method performs well in terms of a wide adaptability, efficiency,and global optimization.

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Cite this article

[IEEE Style]

S. Liu, L. Wei, Y. Zhang, Y. Yao, "Study on the Parameter Optimization of Soft-switching DC/DC Converters with the Response Surface Methodology, a SPICE Model, and a Genetic Algorithm," Journal of Power Electronics, vol. 15, no. 2, pp. 479-486, 2015. DOI: 10.6113/JPE.2015.15.2.479.

[ACM Style]

Shuai Liu, Li Wei, Yicheng Zhang, and Yongtao Yao. 2015. Study on the Parameter Optimization of Soft-switching DC/DC Converters with the Response Surface Methodology, a SPICE Model, and a Genetic Algorithm. Journal of Power Electronics, 15, 2, (2015), 479-486. DOI: 10.6113/JPE.2015.15.2.479.