Hydrogen consumption and durability assessment of fuel cell vehicles in realistic driving
[EN] This study proposes a predictive equivalent consumption minimization strategy (P-ECMS) that utilizes velocity prediction and considers various dynamic constraints to mitigate fuel cell degradation assessed using a dedicated sub -model. The objective is to reduce fuel consumption in real -world...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/209164 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/209164 |
| Access Level: | acceso abierto |
| Palabra clave: | Hydrogen MEA degradation Predictive energy management strategy Velocity forecasting Fuel cell hybrid electric vehicle Realistic driving conditions INGENIERIA AEROESPACIAL MAQUINAS Y MOTORES TERMICOS 13.- Tomar medidas urgentes para combatir el cambio climático y sus efectos |
| Sumario: | [EN] This study proposes a predictive equivalent consumption minimization strategy (P-ECMS) that utilizes velocity prediction and considers various dynamic constraints to mitigate fuel cell degradation assessed using a dedicated sub -model. The objective is to reduce fuel consumption in real -world conditions without prior knowledge of the driving mission. The P-ECMS incorporates a velocity prediction layer into the Energy Management System. Comparative evaluations with a conventional adaptive-ECMS (A-ECMS), a standard ECMS with a well -tuned constant equivalence factor, and a rule -based strategy (RBS) are conducted across two driving cycles and three fuel cell dynamic restrictions (|di/dt|max <= 0.1, 0.01, and 0.001 A/cm2s). The proposed strategy achieves H2 consumption reductions ranging from 1.4% to 3.0% compared to A-ECMS, and fuel consumption reductions of up to 6.1% when compared to RBS. Increasing dynamic limitations lead to increased H2 consumption and durability by up to 200% for all tested strategies. |
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