Optimization of the longitudinal dynamics of parallel hybrid railway vehicles

Leska, Maik; Grüning, Tobias; Aschemann, Harald; Rauh, Andreas

doi:10.1109/cca.2012.6402436

Cited by 12 publications

(6 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where the efficiency η G = f G (T G , ω ICE ) is determined by a linear 2D-interpolation in the efficiency map of the generator. The existence of a DC link between the ICE-G and the EM allows for the independent rotational speed of the EM and ICE-G set, with the optimal ICE-G set rotational speed ω ICE [rad/s] pre-calculated using the Nelder-Mead simplex method [63] for different possible levels of requested power, while accounting for the efficiency of the generator and ICE-specific fuel consumption. With the specific fuel consumption, ψ = f ICE (P ICE , ω ICE ) [kg/Ws], determined by a 2D-interpolation of the static ICE map, and the density of the fuel, ρ [kg/l], the cumulative ICE fuel consumption B ICE [l] follows from [37,43].…”

Section: Diesel Generator Setmentioning

confidence: 99%

Analysis of Hybrid and Plug-In Hybrid Alternative Propulsion Systems for Regional Diesel-Electric Multiple Unit Trains

2021

View full text Add to dashboard Cite

This paper presents a simulation-based analysis of hybrid and plug-in hybrid propulsion system concepts for diesel-electric multiple unit regional railway vehicles. These alternative concepts primarily aim to remove emissions in terminal stops with longer stabling periods, with additional benefits reflected in the reduction of overall fuel consumption, produced emissions, and monetary costs. The alternative systems behavior is modeled using a backward-looking quasi-static simulation approach, with the implemented energy management strategy based on a finite state machine control. A comparative assessment of alternative propulsion systems is carried out in a case study of a selected regional railway line operated by Arriva, the largest regional railway undertaking in the Netherlands. The conversion of a standard diesel-electric multiple unit vehicle, currently operating on the network, demonstrated a potential GHG reduction of 9.43–56.92% and an energy cost reduction of 9.69–55.46%, depending on the type of service (express or stopping), energy storage technology selection (lithium-ion battery or double-layer capacitor), electricity production (green or grey electricity), and charging facilities configuration (charging in terminal stations with or without additional charging possibility during short intermediate stops) used. As part of a bigger project aiming to identify optimal transitional solutions towards emissions-free trains, the outcomes of this study will help in the future fleet planning.

show abstract

Section: Diesel Generator Setmentioning

confidence: 99%

Analysis of Hybrid and Plug-In Hybrid Alternative Propulsion Systems for Regional Diesel-Electric Multiple Unit Trains

2021

View full text Add to dashboard Cite

show abstract

“…A parallel hybrid electric railway vehicle is typically equipped with an internal combustion engine (ICE), an energy storage device and an additional propulsion system [12], see Fig. 1, where a simplified structure of the architecture is depicted.…”

Section: Mathematical Modellingmentioning

confidence: 99%

Fuel-optimal combined driving strategy and energy management for a parallel hybrid electric railway vehicle

Leska

Aschemann

2015

2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR)

Self Cite

View full text Add to dashboard Cite

A fuel-optimal operating strategy is proposed for a parallel hybrid electric railway vehicle that involves both a modification of the driving strategy and a corresponding energy management. The optimisation is based on an algebraic inverse system model describing the longitudinal dynamics and the complete power train. Aiming at a small computing time, only the dominant effects of the train longitudinal dynamics are taken into account in the control-oriented model. Using Bellman's optimality principle, a fuel-optimal strategy is derived that adapts both the driving strategy and the power management strategy. Here, the ideal case is assumed without any disturbances affecting the train operation. Simulation results of the proposed optimisation strategy are given and compared to the fuel consumption of a conventional diesel railway vehicle.

show abstract

“…There are several methods to determine such velocity trajectories, e.g. [9], [10] and [11]. The mechanical behavior of the vehicle is governed by k rot Mv = F wheel − F res − F inc .…”

Section: A Simulation Model Of the Traction Chainmentioning

confidence: 99%

Grey Wolf Optimisation of an Operating Strategy for Energy Storage Systems in Electrically Driven Railway Vehicles

Prohl

Aschemann

2019

2019 18th European Control Conference (ECC)

Self Cite

View full text Add to dashboard Cite

This paper presents an energy optimal operating strategy for the utilisation of energy storage systems (ESS) in electrically driven railway vehicles. First, a detailed simulation model of the complete power train of a generic railway vehicle, supplied by an electric energy source, is described. The presented operating strategy comprises the power management between the two power sources of the vehicle, namely the catenary as well as the ESS. To derive the energy optimal parametrisation for the proposed power management approach, a Grey Wolf Optimiser (GWO) is applied, which is inspired by the hunting behavior of grey wolves in nature.

show abstract

Optimization of the longitudinal dynamics of parallel hybrid railway vehicles

Cited by 12 publications

References 10 publications

Analysis of Hybrid and Plug-In Hybrid Alternative Propulsion Systems for Regional Diesel-Electric Multiple Unit Trains

Analysis of Hybrid and Plug-In Hybrid Alternative Propulsion Systems for Regional Diesel-Electric Multiple Unit Trains

Fuel-optimal combined driving strategy and energy management for a parallel hybrid electric railway vehicle

Grey Wolf Optimisation of an Operating Strategy for Energy Storage Systems in Electrically Driven Railway Vehicles

Contact Info

Product

Resources

About