The Development of Induction Motor Characteristic by Using Radial Basis Function (RBF) Learning Method for Electric Vehicle Application

There is a growing interest in electric vehicles due to environmental concerns. Recent efforts are directed toward developing an improved propulsion system for electric vehicles applications. This paper is aimed at developing the system modeling of induction motor by using radial basis function which use in electric vehicle propulsion systems. The vehicles’ dynamics are studied in an attempt to find an optimal torque-speed profile for the electric propulsion system. This study reveals that the vehicles’ operational constraints, such as initial acceleration and grade, can be met with minimum power rating if the power train can be operated mostly in the constant power region. Several examples are presented to demonstrate the importance of the constant power operation. Operation of several candidate motors in the constant power region is also examined. There are difficulty to determine the control system method is suitable for the induction motor system, the characteristic of induction motor is most important information which can be used to solve this problem. The modeling of the induction motor is most important method to find that characteristic, the d-q model was developed in the last view year, in this paper the Application Of Radial Basis Function(RBF) Learning Method to find the Induction Motor modeling is proposed, this method is used to solve the nonlinear problem in induction motor model. The result was calculated by using the C language program and the error was found at 0.00001