most citedMathematical Modeling for Holistic Convex Optimization of Hybrid Trains

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eess.SY2026

Real-Time Location-Aware Demand-Shaping for Power-Constrained AC Railway Corridors

Marton Laszlo Ambrus, Xiao Liu, Stuart Hillmansen +1

Power-constrained 25kV AC railway sections, particularly under degraded feeding, are protected today by blunt, section-wide power limits that penalise every train irrespective of w…

eess.SY2026

Estimating Available Traction Power in Multi-Train AC Railway Networks from a Distance-Dependent Power Envelope

Marton Laszlo Ambrus, Xiao Liu, Stuart Hillmansen +1

Decarbonisation is raising the electrical load on mainline alternating-current railway feeders that were not designed for sustained, simultaneous high-power demand. When several tr…

eess.SY2026

Algorithmic Energy Management in Constrained Railway Traction Networks: A Systematic Review

Marton Laszlo Ambrus, Stuart Hillmansen, Zhongbei Tian

Decarbonising heavy-duty railway networks requires maximising the capacity of existing electrical infrastructure. Integrating heavy freight alongside fast passenger services expose…

eess.SY2021

Convex Optimization for Fuel Cell Hybrid Trains: Speed, Energy Management System, and Battery Thermals

Rabee Jibrin, Stuart Hillmansen, Clive Roberts

We optimize the operation of a fuel cell hybrid train using convex optimization. The main objective is to minimize hydrogen fuel consumption for a target journey time while conside…

eess.SY2021

Convex Optimization of Speed and Energy Management System for Fuel Cell Hybrid Trains

Rabee Jibrin, Stuart Hillmansen, Clive Roberts +2

We look into minimizing the hydrogen fuel consumption of hydrogen hybrid trains by optimizing their operation. The powertrain considered is a fuel cell charge-sustaining hybrid. Co…