A novel energy management strategy for fuel-cell/supercapacitor hybrid vehicles
Autor: | Carignano, Mauro, Costa Castelló, Ramon, Nigro, Norberto, Junco, Sergio |
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Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Supercapacitor
Hybrid electric vehicles Informàtica::Automàtica i control [Àrees temàtiques de la UPC] Energies [Àrees temàtiques de la UPC] Hybrid platforms powered by fuel cell and supercapacitor represent a powertrain with active state-dependent constraints SuperCondensadors elèctrics Hybrid Vehicle the performance of the vehicle in terms of efficiency and power compliance is noticeably affected by the energy management strategy. This paper presents a novel energy management strategy based on the estimation of the future energy demand. The strategy aims for maintaining the state of energy of the supercapacitor between two limits Vehicles elèctrics which are computed online using the states of the system. The performance of the proposed strategy is tested by simulation in a hybrid electric bus operated under real urban driving conditions. The results show improvements on hydrogen consumption and on power compliance compared to the widely reported Equivalent Consumption Minimization Strategy. Also the results include the comparison with the optimal strategy obtained offline through Dynamic Programming Fuel Cell Vehicles elèctrics híbrids Energy Management Constraints Piles de combustible Fuel cells providing an adverse scenario for the energy management. In these platforms |
Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Recercat. Dipósit de la Recerca de Catalunya instname |
Popis: | Hybrid platforms powered by fuel cell and supercapacitor represent a powertrain with active state-dependent constraints, providing an adverse scenario for the energy management. In these platforms, the performance of the vehicle in terms of efficiency and power compliance is noticeably affected by the energy management strategy. This paper presents a novel energy management strategy based on the estimation of the future energy demand. The strategy aims for maintaining the state of energy of the supercapacitor between two limits, which are computed online using the states of the system. The performance of the proposed strategy is tested by simulation in a hybrid electric bus operated under real urban driving conditions. The results show improvements on hydrogen consumption and on power compliance compared to the widely reported Equivalent Consumption Minimization Strategy. Also, the results include the comparison with the optimal strategy obtained offline through Dynamic Programming |
Databáze: | OpenAIRE |
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