Ride Comfort Control of Electrical Vehicle in the Process of Speed Regulation

Human comfort of electrical vehicle and the acceleration model were analyzed in this paper, the multivariable CARIMA model of the permanent magnet synchronous motor drive system of EV was established, the parameters of model were identified by RLSM (recursive least squares method). The acceleration and its variety could influence passenger's comfort feeling, they have relation with the stator current, so the generalized predictive control (GPC) was adopted in stator current controlling in order to eliminate jerk. The start and speed regulation process of a small EV were simulated. Simulation results show that the speed and acceleration are controlled successfully. The results show this GPC method is robust and has the profound application potential