Reducing DMU fuel consumption by means of hybrid energy storage

Dittus, Holger; Hülsebusch, Dirk; Ungethüm, Jörg

doi:10.1007/s12544-011-0053-6

Cited by 12 publications

(9 citation statements)

References 7 publications

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“…Although the system described is inferior to electric systems regarding the amount of storable energy and overall system efficiency (cf. [5,7]), reductions in fuel consumption ranging between 5 and 16 % can be expected. The simulation process described in this paper takes into account the effects of both fuel efficient driving techniques and hybridisation.…”

Section: Discussionmentioning

confidence: 99%

“…A multitude of research on the hybridisation of railcars has been carried out [1][2][3][4][5][6][7][8] and continues. Fundamental investigations into the suitability of diesel railcars for hybridisation have been published by Hillmansen and Roberts [1], Nick [2], and Lu et al [3].…”

Section: Introductionmentioning

confidence: 99%

“…In addition to the investigations mentioned above, there have been some more detailed studies on hybrid diesel railcars with electric power transmission [4,5] using electric energy storage devices. Detailed investigations into diesel railcars with hydraulic or hydromechanical power transmission have been provided by Read et al [6], and Dittus et al [7], respectively. The former included energy efficient driving strategies in their analysis, but remained rather vague with respect to a realistic dimension of the hybrid drivetrain.…”

Section: Introductionmentioning

confidence: 99%

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Investigating an all-hydraulic hybrid system for diesel-hydraulic rail cars

Kache

2013

Eur. Transp. Res. Rev.

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Purpose This paper outlines a complex simulation model for parallel-hybrid diesel railcars with hydrodynamic power transmission. It contributes to the discussion concerning whether a hydrostatic recuperation system can be an alternative to electric systems using double-layer capacitors or flywheels. The paper focusses on a hybrid system with realistic parameters concerning mass, power, and energy content that should be applicable to both existing and newly built vehicles. Methods A simulation process that is based on the 1-d-multidomain simulation tool Imagine.Lab AMESim is presented. The simulation comprises a conventional and an alternative drive train as well as the longitudinal dynamics of the vehicle along with the control of the vehicle motion. Energy-efficient driving techniques and timetable restrictions are taken into account when comparing train runs of different drivetrain configurations. Results Simulations based on real route data for eight different railway lines show a reduction of fuel consumption between 5 and 16 % due to the hydrostatic recuperation of energy. Station spacing and mean line gradients prove to be important line-side factors impacting fuel economy. Conclusions Hydrostatic recuperation represents a feasible solution for railcars, provided that possible spatial and economic obstacles can be overcome. As the simulation results are promising, further hybrid configurations will be considered for simulation. A comprehensive comparison to models of hybrid diesel railcars using different energy storages is the next step.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Investigating an all-hydraulic hybrid system for diesel-hydraulic rail cars

Kache

2013

Eur. Transp. Res. Rev.

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“…This is comprehensible considering that the fuel share of total life cycle costs for off-highway applications can be up to over 90% and, additionally, fuel prices are very likely to increase in the mid-and long-term future [2]. Hybrid powertrain technology can help to significantly lower fuel consumption of rail and marine applications [3][4][5][6]. Compared to conventional non-hybrid powertrains, additional operational functionalities of hybrids like recuperation of kinetic energy, engine operation point shifting or electric boosting improve the system performance and reduce pollutant emissions [7].…”

Section: Motivationmentioning

confidence: 99%

A Causal and Real-Time Capable Power Management Algorithm for Off-Highway Hybrid Propulsion Systems

Schalk

Aschemann

2016

Energies

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Hybrid propulsion systems allow for a reduction of fuel consumption and pollutant emissions of future off-highway applications. A challenging aspect of a hybridization is the larger number of system components that further increases both the complexity and the diversification of such systems. Hence, beside a standardization on the hardware side for off-highway systems, a high flexibility and modularity of the control schemes is required to employ them in as many different applications as possible. In this paper, a causal optimization-based power management algorithm is introduced to control the power split between engine and electric machine in a hybrid powertrain. The algorithm optimizes the power split to achieve the maximum power supply efficiency and, thereby, considers the energy cost for maintaining the battery charge. Furthermore, the power management provides an optional function to control the battery state of charge in such a way that a target value is attained. In a simulation case study, the potential and the benefits of the proposed power management for the hybrid powertrain-aiming at a reduction of the fuel consumption of a DMU (diesel multiple unit train) operated on a representative track-will be shown.

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“…(1) Dynamic programming approaches (Ogawa et al, 2007), (Brahma et al, 2000) (2) Rule-based (Dittus et al, 2011), fuzzy logic (Wang and Yang, 2006), and neural network control techniques (Moreno et al, 2006) (3) Methods based on the conversion of the electric power into an equivalent fuel consumption (Pisu and Rizzoni, 2007).…”

Section: Introductionmentioning

confidence: 99%