Methods for calculating the state of charge of vanadium redox flow batteries: an analysis of the relationships
- Authors: Parsegov S.E.1, Pugach M.A.2, Erofeeva V.A.3
-
Affiliations:
- Moscow Institute of Physics and Technology, Skolkovo Institute of Science and Technology, Institute of Control Sciences of RAS
- Skolkovo Institute of Science and Technology
- Institute for Problems in Mechanical Engineering of RAS
- Issue: No 108 (2024)
- Pages: 78-97
- Section: Control systems analysis and design
- URL: https://journal-vniispk.ru/1819-2440/article/view/284355
- DOI: https://doi.org/10.25728/ubs.2024.108.5
- ID: 284355
Cite item
Full Text
Abstract
In the future, energy storage systems are expected to play a key role in the transition to low-carbon energy systems. Increasing renewable energy deployment rates require the integration of batteries that ensure the stability and security of the power system and mitigate the unstable behavior of renewables. Efficient operation of the batteries themselves is also important: it extends their life, reducing operating costs. Monitoring of the state of charge is one of the key tasks to help battery operation. This paper studies the existing explicit methods for calculation of the state of charge of vanadium flow batteries: the open-circuit voltage-based method and the Coulomb counter method. The relationship between them and the possibility of using them together to achieve more reliable and accurate charge state monitoring is investigated. In contrast to existing works, we derive an analytical expression for the overall state of charge that takes into account both main components of the battery, namely its stack and tanks. Analyzing their contributions reveals some shortcomings of existing approaches widely used to calculate and monitor the state of charge of flow batteries.
About the authors
Sergei Ernestovich Parsegov
Moscow Institute of Physics and Technology, Skolkovo Institute of Science and Technology, Institute of Control Sciences of RAS
Email: s.e.parsegov@gmail.com
Moscow
Mikhail Aleksandrovich Pugach
Skolkovo Institute of Science and Technology
Email: m.pugach@skoltech.ru
Moscow
Victoria Aleksandrovna Erofeeva
Institute for Problems in Mechanical Engineering of RAS
Email: eva@ipme.ru
Saint Petersburg
References
- BARSALI S., GIGLIOLI R., LUTZEMBERGER G. et al.Optimised operation of storage systems integrated with mvphotovoltaic plants, considering the impact on the batterylifetime // Journal of Energy Storage. – 2017. – Vol. 12. –P. 178–185.
- BARELLI L., BIDINI G., CIUPAGEANU D.-A. et al.Electrical performance analysis of an innovative vanadiumredox flow battery stack for enhanced power densityapplications // IEEE Madrid PowerTech. – 2021. – P. 1–6.
- CLEMENTE A., MONTIEL M., BARRERAS F. et al.Vanadium redox flow battery state of charge estimation usinga concentration model and a sliding mode observer // IEEEAccess. – 2021. – Vol. 9. – P. 72368–72376.
- CLEMENTE A., CECILIA A., COSTA-CASTELLO R. Socand diffusion rate estimation in redox flow batteries: Ani&i- based high-gain observer approach // European ControlConference (ECC). – 2021. – P. 1640–1644.
- DAWEI Q., ZIXUAN L., FAN Y. et al. State ofcharge estimation for the vanadium redox flow batterybased on extended kalman filter using modified parameteridentification // Energy Sources, Part A: Recovery, Utilization,and Environmental Effects. – 2022. – Vol. 44, No. 4. –P. 9747–9763.
- GUARNIERI M., TROV ` O A., MARINI G. et al. High currentpolarization tests on a 9 kw vanadium redox flow battery //Journal of Power Sources. – 2019. – Vol. 431. – P. 239–249.
- KHAKI B., DAS P. Fast and simplified algorithms for soc andsoh estimation of vanadium redox flow batteries // IEEE GreenTechnologies Conference (GreenTech). – 2021. – P. 494–501.
- LUCAS A., CHONDROGIANNIS S. Smart grid energystorage controller for frequency regulation and peak shaving,using a vanadium redox flow battery // Int. Journal of ElectricalPower & Energy Systems. – 2016. – Vol. 80. – P. 26–36.
- MOVASSAGH K., RAIHAN A., BALASINGAM B. et al.A critical look at coulomb counting approach for state of chargeestimation in batteries // Energies. – 2021. – Vol. 14, No. 14. –P. 40–74.
- MISYRIS G.S., TENGNER T., MARINOPOULOS A.G.et al. Battery energy storage systems modeling for onlineapplications // IEEE Manchester PowerTech. –2017. –P. 1–6.
- PARSEGOV S., PUGACH M., POLYAKOV A. et al. Analysisof flow factor control strategy in vanadium redox flowbatteries // IFAC-PapersOnLine. – 2022. – Vol. 55, No. 9. –P. 187–192.
- PULESTON T., CLEMENTE A., COSTA-CASTELLO R. et al.Modelling and estimation of vanadium redox flow batteries:A review // Batteries. – 2022. – Vol. 8, No. 9. – P. 1–21.
- QIU Y., LI X., CHEN W. et al. State of charge estimation ofvanadium redox battery based on improved extended kalmanfilter // ISA Trans. – 2019. – Vol. 94. – P. 326–337.
- SKYLLAS-KAZACOS M., KASHERMAN D., HONG D. et al.Characteristics and performance of 1 kW UNSW vanadiumredox battery // Journal of Power Sources. – 1991. – Vol. 35,No. 4. – P. 399–404.
- TANG A., BAO J., SKYLLAS-KAZACOS M. Studies onpressure losses and flow rate optimization in vanadium redoxflow battery // Journal of power sources. – 2014. – Vol. 248. –P. 154–162.
- UDDIN M. , ROMLIE M. F., ABDULLAH M. F. et al.A review on peak load shaving strategies // Renewable andSustainable Energy Reviews. – 2018. – Vol. 82. – P. 3323–3332.
- XIONG B., ZHAO J. , SU Y. et al. State of charge estimationof vanadium redox flow battery based on sliding mode observerand dynamic model including capacity fading factor // IEEETrans. on Sustainable Energy. – 2017. – Vol. 8, No. 4. –P. 1658–1667.
- ZHENG C., TIAN X., NIE G. et al. State of power and stateof charge estimation of vanadium redox flow battery basedon an online equivalent circuit model // IEEE 18th Int. Conf.on Industrial Informatics (INDIN-2020). – 2020. – Vol. 1. –P. 633–638.
- ZHAO X., KIM K., JUNG S. State-of-charge estimation usingdata fusion for vanadium redox flow battery // Journal of EnergyStorage. – 2022. – Vol. 52. – P. 104852.
Supplementary files
