Vanadium redox flow battery state of charge estimation using a concentration model and a sliding mode observer

Vanadium redox flow batteries are very promising technologies for large-scale, inter-seasonal energy storage. Tuning models from experimental data and estimating the state of charge is an important challenge for this type of devices. This work proposes a non-linear lumped parameter concentration mod...

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Detalhes bibliográficos
Autores: Clemente León, Alejandro|||0000-0001-6627-1119, Montiel Argaiz, Manuel, Barreras Toledo, Felix Manuel, Lozano Fantoba, Antonio, Costa Castelló, Ramon|||0000-0003-2553-5901
Formato: artículo
Fecha de publicación:2021
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/353539
Acesso em linha:https://hdl.handle.net/2117/353539
https://dx.doi.org/10.1109/ACCESS.2021.3079382
Access Level:acceso abierto
Palavra-chave:Storage batteries
Solar batteries
Control theory
Optimisation
Vanadium redox flow battery modelling
State of charge estimation
Non-linear model tuning from experimental data
Particle swarm optimization
Sliding mode observer
Acumuladors
Bateries solars
Àrees temàtiques de la UPC::Informàtica::Robòtica
Descrição
Resumo:Vanadium redox flow batteries are very promising technologies for large-scale, inter-seasonal energy storage. Tuning models from experimental data and estimating the state of charge is an important challenge for this type of devices. This work proposes a non-linear lumped parameter concentration model to describe the state of charge that differentiates the species concentrations in the different system components and allows to compute the effect of the most relevant over-potentials. Additionally, a scheme, based on the particle swarm global optimization methodology, to tune the model taking into account real experiments is proposed and validated. Finally, a novel state of charge estimation algorithm is proposed and validated. This algorithm uses a simplified version of previous models and a sliding mode control feedback law. All developments are analytically formulated and formally validated. Additionally, they have been experimentally validated in a home-made single vanadium redox flow battery cell. Proposed methods offer a constructive methodology to improve previous results in this field.