Modeling of Drive System for Trackless Rubber Tyre Electric Vehicle

2013 ◽  
Vol 373-375 ◽  
pp. 43-49
Author(s):  
Chuan Wei Zhang ◽  
Ying Ying Wan ◽  
Rui Fang Zhang ◽  
Zong Hu Xi
Keyword(s):  
Vector Control ◽  
Induction Motor ◽  
Electric Vehicle ◽  
Coal Mine ◽  
Dynamic Performance ◽  
Basic Structure ◽  
Drive System ◽  
Field Oriented Vector Control ◽  
Control System Model ◽  
Ac Induction Motor

Owing to harmful gas emissions and high accident rate of diesel engine in the coal mine trackless auxiliary transport, the spring of trackless rubber tyre electric vehicle powered by the battery pack comes. This paper considers the drive system to improve the performance of the electric vehicle. In order to adapt to the complex environment of coal mine, the analysis of basic structure for trackless rubber tyre electric vehicle was based on the three-phase AC induction motor. After elaborating the vector control theory of induction motor, the field-oriented vector control system model of trackless rubber tyre electric vehicle drive system with induction motor rotor was built in Matlab/Simulink. The simulation shows that the proposed control algorithm permits the drive system to achieve good steady and dynamic performance.

Investigation of Motor-Generator Integration System for Electric Vehicle Based on Induction Motor and Fuzzy Control

2011 ◽  
Vol 328-330 ◽  
pp. 2172-2180 ◽  
Author(s):  
Zhi Long Xing ◽  
Yang Liu ◽  
Yun Feng Liu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Induction Motor ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Energy Recovery ◽  
Direct Torque Control ◽  
Torque Control ◽  
Torque Control Strategy ◽  
Ac Induction Motor

Aiming to solve the energy saving problem in modern electric vehicle, we propose a motor-generator integration control system based on the induction motor and the fuzzy control theory in this paper. A motor-generator hardware platform is built up using the four quadrant characteristic of AC induction motor. The AC induction motor works both as driving motor of the electric vehicle and as well as the energy recovery generator. Specifically, the fuzzy direct torque control strategy is adopted in the motor state, and fuzzy instantaneous torque control strategy in power generation state. A simulation is carried out to analyze the practicality of the proposed control method, the simulation results show that the fuzzy torque control technology is well performed. Finally, a simulative energy recovery experimental platform is built up to test the proposed integration control system, and results shown that the efficiency of energy recovery could be up to 97.3%.

Sign in / Sign up

Export Citation Format

Share Document