Assessing the applicability of energy storage system for plug-in hybrid traction system in rail rolling stock

Authors

DOI:

https://doi.org/10.15587/1729-4061.2025.337731

Keywords:

plug-in hybrid traction systems, energy storage system, Harrington desirability function

Abstract

This study examines the rolling stock that currently employs or could be equipped with plug-in hybrid traction systems.

Existing methodologies for selecting energy storage systems often limit their applicability, which creates certain constraints when choosing a solution for hybrid traction systems.

As a result of the study, a well-founded preliminary selection of an energy storage system based on expert evaluation and the Harrington desirability function was carried out.

Engaging experts in relevant fields makes it possible to obtain up-to-date information on technology development and assess whether parameters meet specific requirements. The application of methods for evaluating expert consensus provides a foundation for using the results in subsequent calculations.

Harrington desirability function makes it possible to combine parameters with varying units of measurement and other differences, yielding a single value that can simplify decision-making.

Using expert-derived evaluations, weighting coefficients for various parameters were calculated for the defined types of rolling stock.

In the current research, three types of energy storage systems were selected for locomotives and multiple-unit rolling stock, meeting the specified conditions. These include battery, supercapacitor-based and flywheel-based storage systems, with overall desirability scores (without weighting coefficients) of 0.638, 0.636, and 0.573, respectively.

Modifying the set of parameters, introducing additional constraints, and adjusting weighting coefficients in conjunction with motion optimization tasks makes it possible to adapt the methodology to the requirements for specific projects for constructing or upgrading rolling stock with plug-in hybrid traction systems

Author Biographies

Artem Maslii, Ukrainian State University of Railway Transport

PhD

Department of Electrical Power Engineering, Electrical Engineering and Electromechanics

Serhii Buriakovskyi, National Technical University “Kharkiv Polytechnic Institute”

Doctor of Technical Sciences

Research and Design Institute “Molniya”

Roman Antonenko, Ukrainian State University of Railway Transport

PhD Student

Department of Electrical Power Engineering, Electrical Engineering and Electromechanics

Valentyn Gevrasov, Ukrainian State University of Railway Transport

PhD Student

Department of Electrical Power Engineering, Electrical Engineering and Electromechanics

Andrii Maslii, Ukrainian State University of Railway Transport

PhD

Department of Electrical Power Engineering, Electrical Engineering and Electromechanics

References

  1. Pal, P., Gopal, P. R. C., Ramkumar, M. (2023). Impact of transportation on climate change: An ecological modernization theoretical perspective. Transport Policy, 130, 167–183. https://doi.org/10.1016/j.tranpol.2022.11.008
  2. Railway Handbook (2017). IEA. Available at: https://www.iea.org/reports/railway-handbook-2017
  3. Domínguez, M., Fernández-Cardador, A., Fernández-Rodríguez, A., Cucala, A. P., Pecharromán, R. R., Urosa Sánchez, P., Vadillo Cortázar, I. (2025). Review on the use of energy storage systems in railway applications. Renewable and Sustainable Energy Reviews, 207, 114904. https://doi.org/10.1016/j.rser.2024.114904
  4. Mitali, J., Dhinakaran, S., Mohamad, A. A. (2022). Energy storage systems: a review. Energy Storage and Saving, 1 (3), 166–216. https://doi.org/10.1016/j.enss.2022.07.002
  5. Fedele, E., Iannuzzi, D., Del Pizzo, A. (2021). Onboard energy storage in rail transport: Review of real applications and techno‐economic assessments. IET Electrical Systems in Transportation, 11 (4), 279–309. https://doi.org/10.1049/els2.12026
  6. Saeed, M., Briz, F., Guerrero, J. M., Larrazabal, I., Ortega, D., Lopez, V., Valera, J. J. (2023). Onboard Energy Storage Systems for Railway: Present and Trends. IEEE Open Journal of Industry Applications, 4, 238–259. https://doi.org/10.1109/ojia.2023.3293059
  7. Knibbe, R., Harding, D., Burton, J., Cooper, E., Amir Zadeh, Z., Sagulenko, M. et al. (2023). Optimal battery and hydrogen fuel cell sizing in heavy-haul locomotives. Journal of Energy Storage, 71, 108090. https://doi.org/10.1016/j.est.2023.108090
  8. Chang, A. S., Kalawsky, R. S. (2025). Retrofitting existing rolling stock for wire-free travel: Exploring energy storage solutions for partial catenary-free light rail vehicle. Transportation Engineering, 19, 100291. https://doi.org/10.1016/j.treng.2024.100291
  9. Liu, X., Li, K. (2020). Energy storage devices in electrified railway systems: A review. Transportation Safety and Environment, 2 (3), 183–201. https://doi.org/10.1093/tse/tdaa016
  10. Riabov, I., Overianova, L., Iakunin, D., Neshcheret, V., Ivanov, K. (2025). Equipping suburban diesel–electric multiple unit with a hybrid power unit. E-Prime - Advances in Electrical Engineering, Electronics and Energy, 11, 100949. https://doi.org/10.1016/j.prime.2025.100949
  11. Zubiria, A., Menéndez, Á., Grande, H.-J., Meneses, P., Fernández, G. (2022). Multi-Criteria Decision-Making Problem for Energy Storage Technology Selection for Different Grid Applications. Energies, 15 (20), 7612. https://doi.org/10.3390/en15207612
  12. Qie, X., Zhang, R., Hu, Y., Sun, X., Chen, X. (2021). A Multi-Criteria Decision-Making Approach for Energy Storage Technology Selection Based on Demand. Energies, 14 (20), 6592. https://doi.org/10.3390/en14206592
  13. Buriakovskiy, S., Maslii, A., Pomazan, D., Panchenko, V., Overianova, L., Omelianenko, H. (2020). Multi-criteria Quality Evaluation of Energy Storage Devices for Rolling Stock Using Harrington’s Desirability Function. 2020 IEEE 7th International Conference on Energy Smart Systems (ESS), 158–163. https://doi.org/10.1109/ess50319.2020.9160105
  14. Shrout, P. E., Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86 (2), 420–428. https://doi.org/10.1037/0033-2909.86.2.420
  15. McGraw, K. O., Wong, S. P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods, 1 (1), 30–46. https://doi.org/10.1037/1082-989x.1.1.30
  16. Vallat, R. (2018). Pingouin: statistics in Python. Journal of Open Source Software, 3 (31), 1026. https://doi.org/10.21105/joss.01026
  17. Harrington, E. C., Jr. (1965). The Desirability Function. Industrial Quality Control, 21 (10), 494–498.
  18. Schöberl, J., Ank, M., Schreiber, M., Wassiliadis, N., Lienkamp, M. (2024). Thermal runaway propagation in automotive lithium-ion batteries with NMC-811 and LFP cathodes: Safety requirements and impact on system integration. ETransportation, 19, 100305. https://doi.org/10.1016/j.etran.2023.100305
  19. Ciccarelli, F., Iannuzzi, D., Tricoli, P. (2012). Control of metro-trains equipped with onboard supercapacitors for energy saving and reduction of power peak demand. Transportation Research Part C: Emerging Technologies, 24, 36–49. https://doi.org/10.1016/j.trc.2012.02.001
  20. Xu, K., Guo, Y., Lei, G., Zhu, J. (2023). A Review of Flywheel Energy Storage System Technologies. Energies, 16 (18), 6462. https://doi.org/10.3390/en16186462
  21. Khodaparastan, M., Mohamed, A. (2019). Flywheel vs. Supercapacitor as Wayside Energy Storage for Electric Rail Transit Systems. Inventions, 4 (4), 62. https://doi.org/10.3390/inventions4040062
  22. Dindorf, R., Takosoglu, J., Wos, P. (2023). Review of Compressed Air Receiver Tanks for Improved Energy Efficiency of Various Pneumatic Systems. Energies, 16 (10), 4153. https://doi.org/10.3390/en16104153
  23. Leon-Quiroga, J., Newell, B., Krishnamurthy, M., Gonzalez-Mancera, A., Garcia-Bravo, J. (2020). Energy Efficiency Comparison of Hydraulic Accumulators and Ultracapacitors. Energies, 13 (7), 1632. https://doi.org/10.3390/en13071632
  24. Pro zatverdzhennia Tekhnichnoho rehlamentu bezpeky rukhomoho skladu zaliznychnoho transportu (2015). Postanova Kabinetu Ministriv Ukrainy No. 1194. 30.12.2015. Redaktsiya vid 18.12.2019. Available at: https://zakon.rada.gov.ua/laws/show/1194-2015-%D0%BF#Text
  25. Riabov, I., Goolak, S., Neduzha, L. (2024). An Estimation of the Energy Savings of a Mainline Diesel Locomotive Equipped with an Energy Storage Device. Vehicles, 6 (2), 611–631. https://doi.org/10.3390/vehicles6020028
  26. Kondratieva, L., Bogdanovs, A., Overianova, L., Riabov, I., Goolak, S. (2023). Determination of the working energy capacity of the on-board energy storage system of an electric locomotive for quarry railway transport during working with a limitation of consumed power. Archives of Transport, 65 (1), 119–136. https://doi.org/10.5604/01.3001.0016.2631
Assessing the applicability of energy storage system for plug-in hybrid traction system in rail rolling stock

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Published

2025-08-30

How to Cite

Maslii, A., Buriakovskyi, S., Antonenko, R., Gevrasov, V., & Maslii, A. (2025). Assessing the applicability of energy storage system for plug-in hybrid traction system in rail rolling stock. Eastern-European Journal of Enterprise Technologies, 4(1 (136), 22–31. https://doi.org/10.15587/1729-4061.2025.337731

Issue

Vol. 4 No. 1 (136) (2025): Engineering technological systems

Section

Engineering technological systems

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Copyright (c) 2025 Artem Maslii, Serhii Buriakovskyi, Roman Antonenko, Valentyn Gevrasov, Andrii Maslii

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