Improvement of control characteristics of interior permanent-magnet synchronous motor for electric vehicle

This paper describes a method to improve control characteristics of an inte rior permanent-magnet synchronous motor for an electric vehicle (EV). At th e motor for an electric vehicle, d- and q-axes inductances are varied to a great extent. Therefore. variation characteristics for d- and q-axes induct ances are analyzed as a function of both current magnitude and current phas e angle. A new vector control algorithm is proposed that makes use of the l earning capability of a neural network to implement d- and q-axes inductanc es to be varied according to current magnitude and also current phase angle . Also, a distribution law of torque reference to improve driving character istics of the two motor-driven EV is proposed. Advanced performance is veri fied through numerical method and experiments.