INTELLIGENT CONTROL OF ELECTRICAL DRIVE SYSTEM USED FOR ELECTRIC VEHICLES

Author:

Silaghi Helga1,Gamcova Maria2,Silaghi Andrei Marius3,Spoială Viorica1,Silaghi Alexandru Marius1,Spoială Dragoş1

Affiliation:

1. University of Oradea, Romania, Department of Control Systems Engineering and Management, Faculty of Electrical Engineering and Information Technology, University Street, 1, 410087 Oradea , Romania

2. Technical University of Kosice, Faculty of Electrical Engineering and Informatics, Kosice , Slovakia

3. Polytechnica University of Timisoara, Faculty of Electronics and Telecommunications, Timisoara , Romania

Abstract

Abstract An electric vehicle (EV) uses an electric motor for traction and chemical batteries, superconductors, combustion cells and / or inertial masses as energy sources. To avoid problems regarding the accuracy of the mathematical model of the system, the use of artificial intelligence in electric drives is a viable alternative. Among other advantages of using artificial intelligence in the electric drive system, it can be emphasized that its application reduces the design time and leads to avoiding problems with the introduction of the mathematical model in the system control algorithm. This paper presents several case studies of electrical vehicles and some considerations about intelligent control of EVs. Finally some experimental results that compare classical control system with fuzzy logic control system for EV are presented.

Publisher

Walter de Gruyter GmbH

Reference12 articles.

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3. [3] H. Andrei, F. Spinei, U. Rohde, M.A. Silaghi, H. Silaghi, Evaluation of Hilbert Space Techniques and Lagrange’s Method for the Analysis of Dissipated Power in DC Circuits, European Conference on Circuit Theory and Design, ECCTD’09, 2009, Antalya, Turkey, IEEE Catalog Number: CFP09ECC-CDR, ISBN: 978-1-4244-3896-9, pp. 862-868.

4. [4] L.M. Matica, H. Oros, Speed Computation in Movement followed by Accurate Positioning, International Journal of Computers Communications & Control, 12(1):76-89, 2017. 10.15837/ijccc.2017.1.2785

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