The application discloses an AI-based
diode model parameter automatic extraction and optimization method, and belongs to the technical field of
electronic design.The application solves the problem that the existing
diode model parameter extraction method is seriously dependent on manual experience, the process is complicated and time-consuming, and it is difficult to stably obtain high-precision and strong generalization capability
model parameters from nonlinear data under the influence of temperature and process deviation.The application constructs an intelligent mapping model from
macro electrical characteristics to microscopic
model parameters by adaptively denoising and multidimensional
feature engineering on measured data, and finally generates a high-fidelity
diode electronic design model by combining
global optimization of physical constraints, so as to realize high-precision, high-efficiency and full-automatic extraction and optimization of key
model parameters such as diode
saturation current, ideal factor and series resistance, thereby improving the efficiency,
automation level and cross-condition robustness of
model extraction.