| Calculation of traction energy consumption is the necessary conditions to evaluate the performance of locomotive power, and optimize the deployment and organization of motorcycle transport. Existing energy calculation can not predict the energy consumption of new office locomotive, and quantify the variety in the different conditions. This paper Calculate doing work and the total efficiency in order to predict the energy consumption of new office locomotive.The total efficiency is a nonlinear function associated with the locomotive operating conditions, but the test can only measure the energy consumption of a number of conditions. We can not obtain overall efficiency value under each locomotive's conditions by test. Therefore, the paper establishes a continuous relationship between the total efficiency and the locomotive model. Based on the nonlinear characteristics of the data, We select the RBF neural network for efficiency models.Use the actual traction locomotive operating conditions to establish the train motion equation model. According to the particularity of the train motion equation, the paper uses variable step numerical calculation method to solve the equations of motion and indicates that the method can solve the equations faster under the premise of ensuring the accuracy.Based on the above two models, solving the locomotive do work and power consumption values. Calculate power consumption of SS9 as an example, compare simulation results with the actual energy consumption, show that the method can accurate simulate transport energy consumption data under the different program of traction. |