Dynamic modeling of vanadium redox flow batteries: Practical approaches, their applications and limitations. (January 2023)

• Record Type: Journal Article
• Authors: Bogdanov, Stanislav; Pugach, Mikhail; Parsegov, Sergei; Vlasov, Valentin; Ibanez, Federico Martin; Stevenson, Keith J.; Vorobev, Petr
• Is Part Of: Journal of energy storage. Volume 57(2023)
• Publication Date: 2023-01
• Subjects: Energy storage -- Redox flow batteries -- Vanadium redox flow batteries -- Dynamic modeling -- Crossover; Energy storage -- Periodicals; Energy storage -- Research -- Periodicals; 621.3126
• DOI: 10.1016/j.est.2022.106191
• Languages: English
• ISSNs: 2352-152X

Abstract

Abstract: Vanadium redox flow batteries (VRFBs) have been in the focus of attention of the energy storage community over the past years. Adequate, reliable and user-friendly mathematical models are required for the development and optimal application of this type of battery. A large amount of literature has been devoted to dynamic models of VRFBs, but insufficient attention has been paid to the comparison and critical analysis of their applicability. The article provides a comprehensive overview of available dynamic models, comparing their applicability for real-time simulation of industrial-scale vanadium redox flow batteries. In addition, a methodology for the models comparison is proposed, which takes into account different modes of operation and allows to determine the applicability range of a particular model. The results of the study show that lumped-parameter models with crossover performs well for simulating battery dynamics in the wide range of operating conditions: state of charge (SOC) – (0.1–0.8), load current – (20–290 mA/cm 2 ), flow velocity - (0.4–2.7 cm/s). Also, such models can be tuned even if some physical parameters of the battery components (e.g. electrodes and membrane) are unknown. The results obtained can be used to provide more accurate simulation of vanadium redox flow batteries in real-time monitoring and control tasks, when accuracy and performance are important. Highlights: The modeling approaches of industrial-scale VRFBs are overviewed and classified. The validation of all models is performed considering constant and dynamic loads. The VRFBs transient characteristics are analyzed from analytical solutions. The models' range of applicability is derived considering accuracy and operating conditions. Simplified models can be improved by periodical identification of concentrations.