METHOD FOR ESTIMATING CIRCUIT PARAMETERS OF DAB CONVERTERS BASED ON PHYSICS-INFORMED NEURAL NETWORK
개요
발명자
Yongheng Yang; Tianjing Xie; Yinxiao Zhu; Xiyun Wang
IPC 분류
CPC 분류
A method for estimating circuit parameters of DAB converters based on a physics-informed neural network is disclosed, and belongs to the field of circuit parameter estimation technology. By inputting a small amount of inductor current and output voltage data from the DAB converter, the above method is used to achieve high-precision circuit parameter estimation with strong robustness and good generalization capability, with the impact of noise and different modulation strategies on the estimation accuracy taken into consideration.
원문 (중국어)
A method for estimating circuit parameters of DAB converters based on a physics-informed neural network is disclosed, and belongs to the field of circuit parameter estimation technology. By inputting a small amount of inductor current and output voltage data from the DAB converter, the above method is used to achieve high-precision circuit parameter estimation with strong robustness and good generalization capability, with the impact of noise and different modulation strategies on the estimation accuracy taken into consideration.