Issue |
MATEC Web Conf.
Volume 234, 2018
BulTrans-2018 – 10th International Scientific Conference on Aeronautics, Automotive and Railway Engineering and Technologies
|
|
---|---|---|
Article Number | 02003 | |
Number of page(s) | 4 | |
Section | Automotive Engineering | |
DOI | https://doi.org/10.1051/matecconf/201823402003 | |
Published online | 21 November 2018 |
Methodology of testing and optimal setting of an asynchronous traction drive for electric vehicles
Todor Kableshkov University of Transport – Sofia, Faculty of Telecommunications and Electrical Equipment in Transport, Department of Power Engineering and Electrical Equipment in Transport, 1574 Sofia, 158 Geo Milev St., Bulgaria
* Corresponding author: vdimitroff@abv.bg
This paper presents a methodology of tests of traction asynchronous drives applied in electric vehicles. It is similar to Urban Driving Cycle ECE-15 (UDC). The objective of the research is to verify the developed methodology through tests performed on a laboratory simulator, which consists of energy-saving asynchronous motor controlled by a frequency inverter (converter). Vector Control on the drive is used for smooth speed regulation over a wide range at high values of efficiency and power factor. Contemporary measuring and control devices and special software products are used for capturing the dynamic characteristics when starting, stopping and changing the speed set point of the drive. Some of tests are presented and an experimental verification of the developed methodology is made. An optimal setting of the drive parameters can be made to minimize the electric energy consumption.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.