Hybrid Battery-Diesel Strategy for Reducing Fuel Dependence in Diesel-Electric Locomotives | IJEEE Volume 9Â -Issue 1 | IJEEE-V9I1P1
International Journal of Electrical Engineering and Ethics
ISSN: 2456-9771 | PeerâReviewed Open Access Journal
Volume 9, Issue 1
|
Published:
Author
Lawrence Nizah Mutambo, Jewad Mohammed Sadik, Wei Wenfu
Abstract
Diesel-electric locomotives remain the backbone of freight rail transport in Zambia. However, ageing fleets operating under low-speed duty cycles suffer from high fuel consumption and inefficient dissipation of braking energy. This paper investigates a battery-assisted hybridization strategy focused on regenerative braking energy recovery for Zambia Railways Limited (ZRL) diesel-electric locomotives operating along the 890 km KitweâLivingstone corridor. A MATLAB/Simulink co-simulation framework integrating traction demand, route gradients, battery dynamics, diesel fuel mapping, and a rule-based energy management strategy is developed and calibrated to ZRL operating conditions. A 7.5 MWh lithium iron phosphate (LFP) Battery Energy Storage System (BESS) installed on a tender wagon is evaluated based on realistic regenerative energy availability and State-of-Charge constraints. Simulation results indicate that regenerative braking capture and traction power smoothing reduce diesel fuel consumption by 15.4% per trip. The associated fuel cost savings demonstrate economic viability under conservative assumptions and can be reinvested into rail infrastructure and rolling stock maintenance, supporting improved operational reliability. The findings show that regenerative hybridization alone offer a practical, infrastructure-light pathway for improving energy efficiency and reducing fuel dependence on moderate-gradient freight corridors in developing railway networks.
Keywords
Diesel-Electric Locomotives, Battery Energy Storage (BESS), Traction Energy Recovery, Hybrid Locomotive Retrofit, Regenerative Braking, Energy Management System, MATLAB/Simulink.Conclusion
This paper developed a Zambia Railways Limited (ZRL)âcalibrated MATLAB/Simulink co-simulation framework to evaluate a tender-mounted 7.5 MWh Lithium Iron Phosphate (LFP) Battery Energy Storage System (BESS) retrofit for diesel-electric freight locomotives operating on the KitweâLivingstone corridor. Simulation results show that regenerative braking yields an average diesel fuel reduction of 15.4% over the representative 890 km duty cycle, despite the moderate gradients and low-speed operating conditions characteristic of the route.
The selected BESS capacity was shown to be sufficient to absorb peak downhill regenerative energy while maintaining battery State-of-Charge (SOC) within safe operating limits, validating the route-specific sizing approach adopted in this study. The associated fuel cost savings translate into economically viable payback periods of 4.2 years and returns on investment of 24% under conservative assumptions, making regenerative hybridization suitable for deployment in capital-constrained operating environments.
Importantly, the fuel savings achieved through regen braking can be redirected toward the maintenance of rail infrastructure and rolling stock, supporting improved track condition, locomotive availability, and long-term operational reliability at ZRL. In conclusion, the findings establish regenerative brakingâbased hybridization as a practical, infrastructure-light transitional pathway for reducing fuel dependence and emissions in ageing diesel-electric freight fleets, without requiring network electrification or changes to existing operational practices.
References
[1] E. Lungomesha and A. Zulu, âAssessment of Electrification of Zambia Railways Main Trackâ, in Proc. 3rd Int. Conf. Rail Transport, Lusaka, Zambia, May 2015, pp. 112-125.
[2] E. Lungomesha and A. Zulu, âEnvironmental and economic benefits of railway electrification of southern african countriesâ, Int. J. Transp. Dev. Integr., vol. 2, no. 2, pp. 136â145, Jan. 2017, doi: 10.2495/TDI-V2-N2-136-145.
[3] K. Boshoff, âInvestigating the feasibility of braking energy utilisation on diesel electric locomotives for South African Railway Duty Cyclesâ.
[4] M. Cipek, D. PavkoviÄ, and Z. KljaiÄ, âOptimized Energy Management Control of a Hybrid Electric Locomotiveâ, Machines, vol. 11, no. 6, p. 589, May 2023, doi: 10.3390/machines11060589.
[5] D. SofĂa Mendoza, J. Solano, and L. Boulon, âEnergy management strategy to optimise regenerative braking in a hybrid dualâmode locomotiveâ, IET Electr. Syst. Transp., vol. 10, no. 4, pp. 391â400, Dec. 2020, doi: 10.1049/iet-est.2020.0070.
[6] X. Liu and K. Li, âEnergy storage devices in electrified railway systems: A reviewâ, Transp. Saf. Environ., vol. 2, no. 3, pp. 183â201, Oct. 2020, doi: 10.1093/tse/tdaa016.
[7] A. GonzĂĄlez-Gil, R. Palacin, and P. Batty, âSustainable urban rail systems: Strategies and technologies for optimal management of regenerative braking energyâ, Energy Convers. Manag., vol. 75, pp. 374â388, Nov. 2013, doi: 10.1016/j.enconman.2013.06.039.
[8] T. Ratniyomchai, S. Hillmansen, and P. Tricoli, âRecent developments and applications of energy storage devices in electrified railwaysâ, IET Electr. Syst. Transp., vol. 4, no. 1, pp. 9â20, Mar. 2014, doi: 10.1049/iet-est.2013.0031.
[9] M. DomĂnguez et al., âReview on the use of energy storage systems in railway applicationsâ, Renew. Sustain. Energy Rev., vol. 207, p. 114904, Jan. 2025, doi: 10.1016/j.rser.2024.114904.
[10] J. J. Jui, M. A. Ahmad, M. M. I. Molla, and M. I. M. Rashid, âOptimal energy management strategies for hybrid electric vehicles: A recent survey of machine learning approachesâ, J. Eng. Res., vol. 12, no. 3, pp. 454â467, Sep. 2024, doi: 10.1016/j.jer.2024.01.016.
[11] J. Yuan, L. Peng, H. Zhou, D. Gan, and K. Qu, âRecent research progress and application of energy storage system in electrified railwayâ, Electr. Power Syst. Res., vol. 226, p. 109893, Jan. 2024, doi: 10.1016/j.epsr.2023.109893.
[12] C. G. D. S. Moraes, S. L. Brockveld, M. L. Heldwein, A. S. Franca, A. S. Vaccari, and G. Waltrich, âPower Conversion Technologies for a Hybrid Energy Storage System in Diesel-Electric Locomotivesâ, IEEE Trans. Ind. Electron., vol. 68, no. 10, pp. 9081â9091, Oct. 2021, doi: 10.1109/TIE.2020.3021643.
[13] M. Khodaparastan and A. Mohamed, âModeling and Simulation of Regenerative Braking Energy in DC Electric Rail Systemsâ, in 2018 IEEE Transportation Electrification Conference and Expo (ITEC), Long Beach, CA, USA: IEEE, Jun. 2018, pp. 1â6. doi: 10.1109/ITEC.2018.8450133.
[14] M. Cipek, D. PavkoviÄ, M. Krznar, Z. KljaiÄ, and T. J. MlinariÄ, âComparative analysis of conventional diesel-electric and hypothetical battery-electric heavy haul locomotive operation in terms of fuel savings and emissions reduction potentialsâ, Energy, vol. 232, p. 121097, Oct. 2021, doi: 10.1016/j.energy.2021.121097.
[15] M. Ceraolo, G. Lutzemberger, E. Meli, L. Pugi, A. Rindi, and G. Pancari, âEnergy storage systems to exploit regenerative braking in DC railway systems: Different approaches to improve efficiency of modern high-speed trainsâ, J. Energy Storage, vol. 16, pp. 269â279, Apr. 2018, doi: 10.1016/j.est.2018.01.017.
[16] R. Xiong et al., âCo-Estimation of State-of-Charge and State-of-Health for High-Capacity Lithium-Ion Batteriesâ, Batteries, vol. 9, no. 10, p. 509, Oct. 2023, doi: 10.3390/batteries9100509.
[17] S. Zhao, Q. Feng, H. Yang, and Y. Zhang, âControl strategy of hybrid energy storage in regenerative braking energy of high-speed railwayâ, 2021 8th Int. Conf. Power Energy Syst. Eng., vol. 8, pp. 1330â1338, Apr. 2022, doi: 10.1016/j.egyr.2021.11.230.
[18] C. Wu, S. Lu, Z. Tian, F. Xue, and L. Jiang, âEnergy-Efficient Train Control With Onboard Energy Storage Systems Considering Stochastic Regenerative Braking Energyâ, IEEE Trans. Transp. Electrification, vol. 11, no. 1, pp. 257â274, Feb. 2025, doi: 10.1109/TTE.2024.3389960.
[19] J. Chen et al., âPower Flow Control-Based Regenerative Braking Energy Utilization in AC Electrified Railways: Review and Future Trendsâ, IEEE Trans. Intell. Transp. Syst., vol. 25, no. 7, pp. 6345â6365, Jul. 2024, doi: 10.1109/TITS.2024.3350743.
[20] R. Barrero, J. V. Mierlo, and X. Tackoen, âEnergy savings in public transportâ, IEEE Veh. Technol. Mag., vol. 3, no. 3, pp. 26â36, Sep. 2008, doi: 10.1109/MVT.2008.927485.
[21] K. Skobiej, âEnergy efficiency in rail vehicles: analysis of contemporary technologies in reducing energy consumptionâ, Rail Veh. Szyn., no. 3â4, pp. 64â70, Dec. 2023, doi: 10.53502/RAIL-177660.