Title :
Electric Vehicle Powertrain Control with Fuzzy Indirect Vector Control
Author :
Osorio, Joycer ; Ponce, Pedro ; Molina, Arturo
Author_Institution :
Res. Dept. of Control & Power Electron., Tecnol. de Monterrey, Mexico City, Mexico
fDate :
Oct. 27 2012-Nov. 4 2012
Abstract :
The control of the power flow in a vehicle is a preponderant task for the correct vehicle performance. Therefore in this paper is developed the implementation of a fuzzy indirect vector control for the energy management of an EV powertrain. The main energy propulsion unit is a squirrel cage induction motor and the powertrain is simulated as the connections among motor, gear box, energy storage unit and wheels. Add to this it is taking into account for the simulation all the forces involved in the vehicle movement. Finally, simulations for a standard driving cycle.
Keywords :
electric propulsion; electric vehicles; energy management systems; fuzzy control; gears; inductive energy storage; power transmission (mechanical); squirrel cage motors; wheels; EV powertrain; electric vehicle powertrain control; energy management; energy storage unit; fuzzy indirect vector control; gear box; main energy propulsion unit; power flow control; squirrel cage induction motor; standard driving cycle; vehicle performance; wheels; Force; Induction motors; Machine vector control; Mathematical model; Mechanical power transmission; Torque; Vehicles; Electric vehicle; indirect vector control; induction motor; powertrain;
Conference_Titel :
Artificial Intelligence (MICAI), 2012 11th Mexican International Conference on
Conference_Location :
San Luis Potosi
Print_ISBN :
978-1-4673-4731-0
DOI :
10.1109/MICAI.2012.33
