Increasing the Energy Efficiency of the Traction Collector Electric Drive for Shunting Diesel Locomotives

This paper investigates the improvement of energy efficiency in the traction collector electric drive of shunting diesel locomotives, specifically the ChME3 locomotives. The study focuses on the operation of traction drives with a partial number of working traction motors under various control positions of the driver's controller. Using mathematical modelling and simulation, the authors analysed the efficiency of the traction drive system under different configurations and speeds. The results demonstrate that operating with fewer traction motors at lower power settings (positions 1 to 4) can significantly increase the overall efficiency of the drive system, especially at certain speed ranges. For instance, using two motors at low speeds yields higher efficiency compared to using all six motors. The study also highlights the importance of dynamically adjusting the number of active motors depending on the locomotive’s operational mode—more motors are recommended during startup to ensure traction stability, while fewer motors can be used during steady movement to reduce energy consumption. The findings suggest that such an approach can lead to reduced fuel consumption, lower maintenance costs, and improved performance of modernized locomotives. The proposed methodology and results are applicable to the modernization of other diesel locomotives equipped with collector-type traction motors. This research contributes to the broader goal of enhancing the sustainability and cost-effectiveness of railway transport systems through intelligent energy management strategies.

Authors

Publication Details

Journal
NTU KhPI Bulletin Power and heat engineering processes and equipment
Published
2025-06-13
DOI
https://doi.org/10.20998/2078-774x.2024.02.10
Primary Topic
Industrial Engineering and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Increasing the Energy Efficiency of the Traction Collector Electric Drive for Shunting Diesel Locomotives

Yevhen Lysenko, Viktor Shaida, Olena Yurieva, O. A. Sych
NTU KhPI Bulletin Power and heat engineering processes and equipment
Industrial Engineering and Technologies
article

Increasing the Energy Efficiency of the Traction Collector Electric Drive for Shunting Diesel Locomotives

Yevhen Lysenko, Viktor Shaida, Olena Yurieva, O. A. Sych
article en

Abstract

This paper investigates the improvement of energy efficiency in the traction collector electric drive of shunting diesel locomotives, specifically the ChME3 locomotives. The study focuses on the operation of traction drives with a partial number of working traction motors under various control positions of the driver's controller. Using mathematical modelling and simulation, the authors analysed the efficiency of the traction drive system under different configurations and speeds. The results demonstrate that operating with fewer traction motors at lower power settings (positions 1 to 4) can significantly increase the overall efficiency of the drive system, especially at certain speed ranges. For instance, using two motors at low speeds yields higher efficiency compared to using all six motors. The study also highlights the importance of dynamically adjusting the number of active motors depending on the locomotive’s operational mode—more motors are recommended during startup to ensure traction stability, while fewer motors can be used during steady movement to reduce energy consumption. The findings suggest that such an approach can lead to reduced fuel consumption, lower maintenance costs, and improved performance of modernized locomotives. The proposed methodology and results are applicable to the modernization of other diesel locomotives equipped with collector-type traction motors. This research contributes to the broader goal of enhancing the sustainability and cost-effectiveness of railway transport systems through intelligent energy management strategies.

NTU KhPI Bulletin Power and heat engineering processes and equipment(2)
Openalex Percentile: Top 87%
Industrial Engineering and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.