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

Author

Chen, Shujin ; Li, Huade ; Ma, Baozhu ; Ran, Zhengyun

Author_Institution

Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing

Volume

2

fYear

0

fDate

0-0 0

Firstpage

8297

Lastpage

8300

Abstract

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

Keywords

acceleration control; electric vehicles; human factors; least squares approximations; multivariable control systems; permanent magnet motors; predictive control; stators; synchronous motor drives; velocity control; acceleration control; acceleration model; electrical vehicle; generalized predictive control; multivariable CARIMA model; permanent magnet synchronous motor drive system; recursive least squares method; ride comfort control; speed control; speed regulation; stator current; Acceleration; Electric vehicles; Humans; Least squares methods; Magnetic analysis; Permanent magnet motors; Predictive control; Robustness; Stators; Vehicle driving; GPC; electrical vehicle; human comfort; vary speed control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713593

Filename

1713593