Online estimation of the state of charge and state of health of a vanadium redox flow battery
This study presents an online algorithm capable to simultaneously estimate the state of charge and state of health of a vanadium redox flow battery. Starting from a general electrochemical model, some order reductions are carried out considering different conservation laws. Based on these low-order...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/407172 |
| Acceso en línea: | https://hdl.handle.net/2117/407172 https://dx.doi.org/10.1016/j.jpowsour.2024.234181 |
| Access Level: | acceso abierto |
| Palabra clave: | Storage batteries Nonlinear model Redox flow battery Sliding mode observer Stack State of charge State of health Particle swarm optimization Acumuladors Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| Sumario: | This study presents an online algorithm capable to simultaneously estimate the state of charge and state of health of a vanadium redox flow battery. Starting from a general electrochemical model, some order reductions are carried out considering different conservation laws. Based on these low-order models, the observer is designed considering the terminal voltage of the battery. This observer is firstly analyzed using numerical tools. Secondly, an experimental validation is carried out with real data provided by a vanadium redox flow battery stack, consisting on current and voltage measurements. |
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