Optimal Operating Strategy for Hybrid Railway Vehicles Based on a Sensitivity Analysis

@article{Leska2014OptimalOS,
  title={Optimal Operating Strategy for Hybrid Railway Vehicles Based on a Sensitivity Analysis},
  author={Maik Leska and Robert Prabel and Harald Aschemann and Andreas Rauh},
  journal={IFAC Proceedings Volumes},
  year={2014},
  volume={47},
  pages={942-947}
}
Abstract The potential fuel savings of hybrid vehicles strongly depend on the energy management strategy, which distributes the required power between the prime mover and the additional power sources. Here, it is necessary to take into account the efficiencies of the whole propulsion system. In this paper, a novel operating strategy is developed that considers the efficiencies of all major components of the propulsion system. Fuel-optimal load points are calculated off-line by using a numerical… 

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References

SHOWING 1-10 OF 14 REFERENCES

Optimization of the longitudinal dynamics of parallel hybrid railway vehicles

A basic simulation model of the longitudinal dynamics is developed for a diesel hybrid railway vehicle with a battery as energy storage system and results indicate possible reductions of the fuel consumption in comparison with a pure diesel operation.

Optimal trajectory planning for standard and hybrid railway vehicles with a hydro-mechanic transmission

A nonlinear model of the complete power train of a standard railway vehicle, purely driven by an internal combustion engine, is described and fuel-optimal trajectories are computed by determining the optimal regime sequence.

Optimal energy management in series hybrid electric vehicles

This paper deals with the optimization of the instantaneous electrical generation/electrical storage power split in series hybrid electric vehicles (SHEV). Optimal energy management is related to the

Energy storage devices in hybrid railway vehicles: A kinematic analysis

Abstract Concerns over future energy security, energy costs, and competitiveness with other modes have prompted the railway industry to search for cost-effective energy efficient traction solutions

A Comparative Study Of Supervisory Control Strategies for Hybrid Electric Vehicles

This paper presents three different energy management approaches for the control of a parallel hybrid electric sport-utility-vehicle that do not require a priori knowledge of the driving cycle and shows that the A-ECMS strategy is the best performing strategy.

Energy consumption analysis of FC-EDLC hybrid railway vehicle by dynamic programming

This paper evaluates the relationship among reduction effect of energy consumption, device capacity, and line profiles, and reveals the energy consumption characteristics and the applicability of hybrid-power-source railway vehicle.

Energy-management system for a hybrid electric vehicle, using ultracapacitors and neural networks

A very efficient energy-management system for hybrid electric vehicles (HEVs), using neural networks (NNs), was developed and tested, and the increase in range was around 5.3% in city tests, however, when optimal control with NN was used, this figure increased to 8.9%.

Reducing DMU fuel consumption by means of hybrid energy storage

PurposeThis paper discusses a hybrid energy storage concept and its control strategy for hydro-mechanical DMUs. The hybrid energy storage consists of double layer capacitors and batteries. The new

Vehicle Propulsion Systems: Introduction to Modeling and Optimization

Introduction.- Vehicle Energy and Fuel Consumption - Basic Concepts.- IC-Engine-Based Propulsion Systems.- Models of Fuel-Cell Propulsion Systems.- Supervisory Control Algorithms.- Appendix I - Case

On the Theory of Dynamic Programming.

  • R. Bellman
  • Mathematics
    Proceedings of the National Academy of Sciences of the United States of America
  • 1952
This paper is the text of an invited address before the annual summer meeting of the American Mathematical Society at Laramie, Wyoming, September 2, 1954, of an expository nature on the theory of dynamic programming.