| Issue |
E3S Web of Conf.
Volume 508, 2024
International Conference on Green Energy: Intelligent Transport Systems - Clean Energy Transitions (GreenEnergy 2023)
|
|
|---|---|---|
| Article Number | 08004 | |
| Number of page(s) | 10 | |
| Section | Sustainability and Decarbonization | |
| DOI | https://doi.org/10.1051/e3sconf/202450808004 | |
| Published online | 05 April 2024 | |
Towards the efficiency transportation work of locomotives diesel traction in real operating conditions
Tashkent State Transport University, Tashkent, Uzbekistan
* Corresponding author: o.ablyalimov@gmail.com
A methodology for substantiating the optimal parameters settings of diesel generators of diesel locomotives according to the criterion of the maximum weighted average efficiency of a diesel locomotive depending on their operating conditions is presented, as well as a methodology and numerical algorithm for assessing the optimal diesel power and efficiency of diesel locomotives with electric transmission and their traction electrical machines. When choosing the optimal mode for controlling the movement of a freight train, the author recommends using the principle of parametric (additive) optimization of the transportation work of locomotives and the value of the highest efficiency of the power circuit, depending on the accepted range of changes in the speed movement of the train on the calculated section of the railway. The research results were obtained in the form of tabular data (regime card) and corresponding analytical expressions - equations for determining the parameters under study. It is recommended to test the obtained research results in real operating conditions, and continue these studies for other types of diesel locomotives and sections of the Uzbek railways of varying degrees of difficulty.
Key words: Diesel locomotive / mode / parameter / power / driver’s controller / criterion / diesel / field weakening / traction mode / speed / average / optimal / freight train / calculation method
© The Authors, published by EDP Sciences, 2024
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.