Electric Vehicle Powertrain Control with Fuzzy Indirect Vector Control Joycer Osorio Research Department of Control and Power Electronics Tecnológico de Monterrey, Mexico City, Mexico joycer.damian@gmail.com Pedro Ponce Director of Master in Engineering Science Tecnológico de Monterrey, Mexico City, Mexico pedro.ponce@itesm.mx Arturo Molina Vice Chancellor of Research and Technology Tecnólogico de Monterrey Mexico City, Mexico armolina@itesm.mx 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 dri ving cycle are carried out and relevant conclusions are presented. Keywords-component; Electric vehicle, indirect vector control, induction motor, powertrain. I. INTRODUCTION The development of simulation tools for the automotive industry boost engineers to have more opportunities for innovations and vehicle improvements. A well-known tool called ADVISOR developed by the NREL [1] offers a wide range of possibilities for the study of electric vehicle (EV), fuel cell vehicles and internal combustion engine vehicles (ICE) and specially for hybrid electric vehicles (HEV),. This tool has been used by several companies like Ford, GM and Daimler Chrysler [2]. Nevertheless, there are other approaches proposed by different organizations and researchers specifically for alternative energy vehicle [3][4][5]. In this work is presented the implementation of the indirect vector control technique and fuzzy logic implementation to control the EV powertrain. This study is assisted by Matlab/Simulink and the analysis presented in this work is focused on the powertrain and control performance. Thus this paper is sectioned as follow: Section 2 presents all the formulation for the EV modelling, Section 3 explains the indirect vector control scheme, Section 4 explains the fuzzy logic controller, Section 5 depicts the simulations and results obtained and finally Section 5 gives relevant conclusions. II. E LECTRIC V EHICLE MODELLING For ICE vehicles there is a power/mass relation that needs to be achieved, this relation need to be equally achieved by EVs. Therefore for the design and evaluation of an EV the tractive effort must be calculated first in order to define the motor size, energy storage unit type and all the components of the powertrain system. A. Tractive Effort This is the force propelling the vehicle forward transmitted to the ground through the drive wheels. The total tractive effort is defined below.             (1) These forces are represented in Fig. 1 where   is the rolling resistance force,   is the aerodynamic drag,   is the hill climbing force,   is the acceleration force and   is the angular acceleration force [6]. Fig. 1. Forces Acting on a Vehicle The rolling resistance force is calculated is caused by the tire deformation on the road, this force is defined by:      (1) Where   the rolling resistance coefficient, m is is the vehicle mass and  is the gravity acceleration. The aerodynamic drag is the viscous resistance of the air acting upon the vehicle, it is defined by:          (3) Eleventh Mexican International Conference on Artificial Intelligence: Advances in Artifical Intelligence and Applications, Special Session - Revised Papers 978-0-7695-4904-0/12 $26.00 © 2012 IEEE DOI 10.1109/MICAI.2012.33 122