Journalartikel

Jahr der Veröffentlichung: 2017

Seiten: 323-336

Zeitschrift: International Journal of Applied Mathematics and Computer Science

Bandnummer: 27

Heftnummer: 2

ISSN: 1641-876X

eISSN: 2083-8492

Open Access Status: Gold

DOI Link: https://doi.org/10.1515/amcs-2017-0023

Verlag: Sciendo

Abstract: 
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.

Harvard-Zitierstil: Leska, M., Aschemann, H., Melzer, M. and Meinert, M. (2017) COMPARATIVE CALCULATION OF THE FUEL-OPTIMAL OPERATING STRATEGY FOR DIESEL HYBRID RAILWAY VEHICLES, International Journal of Applied Mathematics and Computer Science, 27(2), pp. 323-336. https://doi.org/10.1515/amcs-2017-0023

APA-Zitierstil: Leska, M., Aschemann, H., Melzer, M., & Meinert, M. (2017). COMPARATIVE CALCULATION OF THE FUEL-OPTIMAL OPERATING STRATEGY FOR DIESEL HYBRID RAILWAY VEHICLES. International Journal of Applied Mathematics and Computer Science. 27(2), 323-336. https://doi.org/10.1515/amcs-2017-0023