Redox flow battery time-varying parameter estimation based on high-order sliding mode differentiators
A new insight into vanadium redox flow batteries (VRFB) parameter estima-tion is presented. Driven by the electric vehicles proliferation, a hybrid fast-charging station with grid and a renewable energy connection is particularlyconsidered. In this stationary application, the VRFB is operating as bu...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| 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:2117/372352 |
| Acceso en línea: | https://hdl.handle.net/2117/372352 https://dx.doi.org/10.1002/er.8319 |
| Access Level: | acceso abierto |
| Palabra clave: | Energy storage Storage batteries Parameter estimation Sliding mode differentiator State of charge State of health Vanadium redox flow battery Energia -- Emmagatzematge Acumuladors Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| Sumario: | A new insight into vanadium redox flow batteries (VRFB) parameter estima-tion is presented. Driven by the electric vehicles proliferation, a hybrid fast-charging station with grid and a renewable energy connection is particularlyconsidered. In this stationary application, the VRFB is operating as bufferingmodule. This hybrid topology could contribute to reduce the grid connectioncost of the charging station. However, to make VRFB a viable technology,improvements are needed. Among these, some of the most important are inthe field of the estimation of the battery's State of Charge, State of Health, andinternal parameters. The proposed estimation method is based on a recursiveleast square (RLS) estimation algorithm with forgetting factor, combined witha sliding mode finite-time convergent differentiation algorithm. The latter pro-vides robust exact derivatives of both VRFB's current and voltage with a highdegree of noise rejection, required by the RLS algorithm to perform a preciseestimation. The proposed sliding mode-based estimation setup is completedwith a systematic methodology to guarantee the validity of the on-line esti-mated values, depending on the persistence of excitation of the measured cur-rent and voltage. Finally, the methodology is thoroughly analysed andvalidated by computer simulation. |
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