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

International Journal of Applied Mathematics and Computer Science

Melzer

et al. 2017

Self Cite

In contrast to road-based traffic, the track as well as the corresponding duty cycle for railways are known beforehand, which represents a great advantage during the development of operating strategies for hybrid vehicles. Hence the benefits of hybrid vehicles regarding the fuel consumption can be exploited by means of an off-line optimisation. In this article, the fuel-optimal operating strategy is calculated for one specified track using two hybrid railway vehicles with different kinds of energy storage systems: on the one hand, a lithium-ion battery (high-energy storage) and, on the other, a double layer capacitor (high-power storage). For this purpose, control-oriented simulation models are developed for each architecture addressing the main effects contributing to the longitudinal dynamics of the power train. Based on these simulation models, the fuel-optimal operating strategy is calculated by two different approaches: Bellman’s dynamic programming, a wellknown approach in this field, and an innovative sensitivity-based optimisation.

show abstract

Section: Simulation Scenariomentioning

confidence: 99%

Comparative Calculation of the Fuel–Optimal Operating Strategy for Diesel Hybrid Railway Vehicles

International Journal of Applied Mathematics and Computer Science

Melzer

et al. 2017

Self Cite

show abstract

“…To obtain a fair comparison, the optimal trajectory is calculated first for the conventional diesel vehicle, cf. [5]. The resulting fuel consumption V d = 59.9 l is used as reference value for the hybrid electric railway vehicle.…”

Section: Optimisation Resultsmentioning

confidence: 99%

“…This strategy depends on the actual value and the progression of the state of charge σ (t) of the battery. The power split ratio δ ∈ [−1, 1] is introduced as control input according to [5], [7]. It reflects the distribution of the requested power P d as follows: a positive threshold δ > 0 represents a support of the ICE by the M/G (Mode 3) up to the maximum value of δ = 1.…”

Section: Mechanic Gear Box Modellingmentioning

confidence: 99%

See 1 more Smart Citation

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

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

2015

Self 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

“…Thereby, optimal operating modes can be computed almost completely off-line as in (Leska et al, 2013). Here, a parameter optimization is used to calculate the fuel optimal operating strategy.…”

Section: Introductionmentioning

confidence: 99%

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

Prabel

IFAC Proceedings Volumes

et al. 2014

Self Cite