000118256 001__ 118256
000118256 005__ 20230519145533.0
000118256 0247_ $$2doi$$a10.1109/ACCESS.2021.3079382
000118256 0248_ $$2sideral$$a126461
000118256 037__ $$aART-2021-126461
000118256 041__ $$aeng
000118256 100__ $$aClemente, A
000118256 245__ $$aVanadium Redox Flow Battery State of Charge Estimation Using a Concentration Model and a Sliding Mode Observer
000118256 260__ $$c2021
000118256 5060_ $$aAccess copy available to the general public$$fUnrestricted
000118256 5203_ $$aVanadium 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.
000118256 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000118256 590__ $$a3.476$$b2021
000118256 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b79 / 164 = 0.482$$c2021$$dQ2$$eT2
000118256 591__ $$aTELECOMMUNICATIONS$$b43 / 93 = 0.462$$c2021$$dQ2$$eT2
000118256 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b105 / 277 = 0.379$$c2021$$dQ2$$eT2
000118256 592__ $$a0.927$$b2021
000118256 593__ $$aComputer Science (miscellaneous)$$c2021$$dQ1
000118256 593__ $$aEngineering (miscellaneous)$$c2021$$dQ1
000118256 594__ $$a6.7$$b2021
000118256 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000118256 700__ $$aMontiel, M
000118256 700__ $$0(orcid)0000-0002-5391-8021$$aBarreras, F
000118256 700__ $$0(orcid)0000-0003-4141-6072$$aLozano, A
000118256 700__ $$aCosta-Castello, R
000118256 773__ $$g9 (2021), 72368-72376$$pIEEE Access$$tIEEE Access$$x2169-3536
000118256 8564_ $$s1471093$$uhttps://zaguan.unizar.es/record/118256/files/texto_completo.pdf$$yVersión publicada
000118256 8564_ $$s2841170$$uhttps://zaguan.unizar.es/record/118256/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000118256 909CO $$ooai:zaguan.unizar.es:118256$$particulos$$pdriver
000118256 951__ $$a2023-05-18-15:32:49
000118256 980__ $$aARTICLE