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ICMAME 2023 Conference Proceedings


Paper No: 295
Paper Title: Optimized Fuzzy MRAS-based Sensorless control of Electric Vehicle Powertrain


AUTHORS:
Zakaria SEBBOUA Electrical and Industrial System Laboratory (LSEI), University of Science and Technology Houari Boumediene (USTHB), Algiers, Algeria
Kenza BOUHOUNE Electrical and Industrial System Laboratory (LSEI), University of Science and Technology Houari Boumediene (USTHB), Algiers, Algeria
Krim YAZID Electrical and Industrial System Laboratory (LSEI), University of Science and Technology Houari Boumediene (USTHB), Algiers, Algeria

ABSTRACT:
The paper investigates the performances of speed sensorless indirect field-oriented control of two induction motors used to propel an electric vehicle. The powertrain model, which includes induction motor, electronic differential and vehicle models, is first presented, then an adaptation mechanism based on fuzzy logic controller is designed and optimized by genetic algorithms to ensure the optimal operation of the model reference adaptive system speed estimator. The simulations performed with MATLAB/Simulink software show satisfactory performances of the FuzzyMRAS speed sensorless control over different road conditions.

Keywords: Proportional Integral Derivative (PID), Swarm Intelligence (SI), Renewable Energy (RE), Statistical Analysis

Conference Venue: Mövenpick Hotel & Apartments Bur Dubai, Dubai-UAE
Conference Date: 29-30 April 2023

ISBN Number: 978-625-00-1526-1
DOI Number: https://doi.org/10.53375/icmame.2023.295


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