An electromagnetic and motion-coupled analysis is made for a switched reluctance motor based on a reluctance network analysis. Electric and hybrid vehicles are attractive choice due to its high potential for reducing CO2 emissions. In order to make those vehicles highly competitive in the market, cost reduction is essential. A switched reluctance motor without expensive rare earth magnets has been of great interest as a traction motor. Particularly, a full-pitch winding switched reluctance motor is promising since it has a high torque constant. Since the motor characteristics such as driving torque significantly depend on commutation pattern, an analysis coupled with motor motion and its drive circuit is requisite for the performance prediction. However, in the full-pitch winding switched reluctance motor, the relationship between the coil magnetomotive force and the core flux is complicated, and thus Finite Element Method (FEM) has been only one method to precisely predict the motor characteristics, which takes too much computational time for cycle calculations. A reluctance network analysis treats the relationship of coil magnetomotive force and core flux as lumped parameter circuit, and thus enables fast computation with a macroscopic view of magnetic phenomena. Then, the switched reluctance motor is treated as a single reluctance circuit network by replacing multiple elements of motor as reluctances. Through the intuitive modeling of geometric configurations of the motor with this method, the global characteristics of the motor should be computed potentially much faster than FEM. Based on this concept, we are currently applying this methodology to the analysis of the full-pitch winding switched reluctance motor for the first time. The present paper describes the reluctance network modeling of full-pitch winding switched reluctance motor in detail and the motor performance such as magnetomotive force, flux and torque are compared with FEM.