Pregled bibliografske jedinice broj: 1233322
Control Variable Optimization for a Diesel Electric Hybrid Locomotive
Control Variable Optimization for a Diesel Electric Hybrid Locomotive // Proceedings of the 17th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES 2022) / Ban, Marko (ur.).
Zagreb: Fakultet strojarstva i brodogradnje Sveučilišta u Zagrebu, 2022. str. 1-20 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1233322 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Control Variable Optimization for a Diesel Electric Hybrid Locomotive
Autori
Cipek, Mihael ; Pavković, Danijel ; Kljaić, Zdenko ; Mlinarić, Tomislav Josip
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 17th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES 2022)
/ Ban, Marko - Zagreb : Fakultet strojarstva i brodogradnje Sveučilišta u Zagrebu, 2022, 1-20
Skup
17th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES 2022)
Mjesto i datum
Paphos, Cipar, 06.11.2022. - 10.11.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Hybrid electric locomotive ; Mountain rail route ; Control variables optimization ; Advanced transportation technologies ; Fuel economy ; Optimal control
Sažetak
Nowadays, railway vehicles are being increasingly equipped with hybrid electric power-trains in order to provide significant gains in fuel economy and reductions in greenhouse gases emissions. Since hybrid power-trains are complex electromechanical systems, optimal energy management is crucial in order to achieve minimum possible fuel consumption. Having this in mind, this paper proposes an optimised real time energy management control for a diesel electric hybrid locomotive based on optimal results of dynamic programming optimization algorithm. The goal of the optimization is to minimize the fuel consumption subject to battery state-of-charge constraints and physical limits of different power-train variables. The final optimization result, expressed in terms of optimal battery state-of-charge reference (target) is used as an additional input to the state-of-charge controller of the real-time energy management system, and the resulting simulation analysis shows clear gains in terms of fuel savings of the locomotive equipped with the hybrid power-train over the conventional one.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Strojarstvo, Tehnologija prometa i transport
POVEZANOST RADA
Profili:
Mihael Cipek
(autor)
Danijel Pavković
(autor)
Tomislav-Josip Mlinarić
(autor)
Zdenko Kljaić
(autor)