Vol.9, No.1, February 2020. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Innovative Methods for Control of Electric Vehicles
Gergana Vacheva, Nikolay Hinov, Bogdan Gilev
© 2020 Nikolay Hinov, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 9, Issue 1, Pages 14‐18, ISSN 2217-8309, DOI: 10.18421/TEM91-02, February 2020.
Received: 15 December 2019. Revised: 22 January 2020.
Abstract:
In the current paper is presented an examination of the innovative methods for control of electric vehicles. Principal characteristics of linearization of nonlinear system, model predictive control and neural network are proposed. The main objective of this research is to determine the important advantages and disadvantages of the different approaches for control.
Keywords –electric vehicles, linearization, model predictive control, neural network. |
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