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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Hybrid Battery-Diesel Strategy for Reducing Fuel Dependence in Diesel-Electric Locomotives

Authors: Lawrence Nizah Mutambo, Jewad Mohammed Sadik, Wei Wenfu;

Hybrid Battery-Diesel Strategy for Reducing Fuel Dependence in Diesel-Electric Locomotives

Abstract

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 Kitwe–Livingstone 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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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