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

Autor: Leska Maik, Aschemann Harald, Melzer Michael, Meinert Michael
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: International Journal of Applied Mathematics and Computer Science, Vol 27, Iss 2, Pp 323-336 (2017)
Druh dokumentu: article
ISSN: 2083-8492
DOI: 10.1515/amcs-2017-0023
Popis: 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.
Databáze: Directory of Open Access Journals