Abstract:Improved nonlinear bond graph models and the parameter optimization algorithms are established.With these optimization algorithms,model parameters can be determined based on the experimental efficiency data of samples.Taking a motor product sample for example,the distribution chart of operating conditions efficiency of the improved model is much closer to the experimental results than that of the traditional model.Compared to sample experimental results,the mean value of percentage error for traditional model is 3.55% and for improved model is 1.18%,and the variance value of the improved model is much smaller than that of the traditional model.The error analysis proves that the improved model is much more suitable for description of device modeling in complex operating conditions.