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

作者：Liu, Shuai; Wei, Li^*; Zhang, Yicheng; Yao, Yongtao

来源：Journal of Power Electronics, 2015, 15(2): 479-486.

DOI：10.6113/JPE.2015.15.2.479

• GA
• Parameters design optimization
• RSM
• Soft-switching converter
• SPICE model

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

• 出版日期2015-3
• 单位同济大学