2026-04-11T06:45:27Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/58272024-01-04T21:57:21Zcom_20.500.11984_473col_20.500.11984_478

Aizpuru, Iosu 2022-11-10T12:23:14Z 2022-11-10T12:23:14Z 2022 1939-9359 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=167710 https://hdl.handle.net/20.500.11984/5827 In this study, the life cycle costs of railway projects involving hybrid diesel-electric vehicles are analysed. Specifically, the analysis focuses on the comparison of 3 lithium-ion battery technologies (NMC, LTO and LFP) and 8 energy management strategies (including rule-based and optimization-based strategies). In order to develop this analysis, a methodology that returns the life cycle cost of each proposed case is presented. The methodology includes the optimization of the diesel generator and lithium-ion battery sizing. A scenario based on a real railway line is introduced, and the obtained results are compared to a traditional diesel-electric railway vehicle to develop a techno-economical discussion. The best lithium-ion battery technologies are found to be LTO and NMC, and the most appropriated strategy a state-machine controller optimised by a genetic algorithm approach. The best case obtains a life cycle cost reduction of the 4.0% and diesel savings of the 13.7% compared to a traditional diesel-electric railway vehicle. The proposed analysis is claimed to be potentially helpful for the cost-optimal design and operation definition of powertrains for hybrid railway vehicles. eng © 2022 IEEE Rail transportation Costs optimization Mechanical power transmission Energy management Analytical models Hybrid power systems Li-ion Battery-based Hybrid Diesel-Electric Railway Vehicle: In-depth Life Cycle Cost Analysis http://purl.org/coar/resource_type/c_6501