2026-08-17T12:31:59Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/145622026-06-16T06:15:54Zcom_20.500.11984_1143com_20.500.11984_14090col_20.500.11984_1148

00925njm 22002777a 4500 dc Olmos, Josu author Saez-de-Ibarra, Andoni author Gaztañaga, Haizea author Lopez, José Dimas author Nieva, Txomin author Aizpuru, Iosu author 2023 This paper presents a robustness analysis of different energy management strategies designed for hydrogen-based rail vehicles. From the analyzed 4 strategies, one is based on dynamic programming, two are rule-based strategies optimized by genetic algorithms, and the last one is a learning-based approach. The strategies are optimized for (or learn from) a nominal scenario. Then, the number of passengers and the consumption of the auxiliaries are varied to generate new scenarios. The results obtained in the new scenarios show that the trends obtained in the nominal scenario are generally respected. Additionally, some other conclusions are also obtained: 1) GA-based strategies get closer to the global optimization of DP as the average demand of the route is higher, and 2) ANFIS should improve the degradation that the FC suffers, as it is increased overmuch compared to the other strategies. 979-8-3503-4445-5 2769-4186 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=174596 https://hdl.handle.net/20.500.11984/14562 ODS 7 Energía asequible y no contaminante ODS 9 Industria, innovación e infraestructura ODS 11 Ciudades y comunidades sostenibles ODS 13 Acción por el clima http://vocabularies.unesco.org/thesaurus/concept9546 Energy management fuel cell hydrogen lithium battery optimization railway engineering Robustness Evaluation of Energy Management Strategies for Hydrogen-Based Railway Vehicles