2014
DOI: 10.3182/20140824-6-za-1003.02019
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Optimal Operating Strategy for Hybrid Railway Vehicles based on a Sensitivity Analysis

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Cited by 6 publications
(8 citation statements)
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“…Ott et al, 2012), and the use of several cycle-averaged efficiencies for each energy conversion step as in the work of Katrasnik et al (2007) can be found in the literature. Leska et al (2014) analyse the energy conversion using a complete simulation model of a hybrid railway vehicle with a mechanical transmission and an on-board lithium-ion battery including the main system components of the power train.…”
Section: Introductionmentioning
confidence: 99%
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“…Ott et al, 2012), and the use of several cycle-averaged efficiencies for each energy conversion step as in the work of Katrasnik et al (2007) can be found in the literature. Leska et al (2014) analyse the energy conversion using a complete simulation model of a hybrid railway vehicle with a mechanical transmission and an on-board lithium-ion battery including the main system components of the power train.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, the approach of Leska et al (2014) is adapted for a hybrid railway vehicle with a diesel-electric transmission with a battery (Bat) and a double layer capacitor (DLC), respectively, as an on-board energy storage system (ESS). In Section 2, a control-oriented simulation model is derived for both railway vehicles.…”
Section: Introductionmentioning
confidence: 99%
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“…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%
“…Numerical methods assume a known driving cycle to determine the optimal control numerically; dynamic programming, cf. [7] and [8], and genetic algorithms [9] belong to this category. Analytical optimisation approaches also employ a parametrised speed profile, where the optimal solution is calculated symbolically.…”
Section: Introductionmentioning
confidence: 99%