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dc.contributor.authorBrivio, C.
dc.contributor.authorMusolino, V.
dc.contributor.authorAlet, P. J.
dc.contributor.authorMerlo, M.
dc.contributor.authorHutter, A.
dc.contributor.authorBallif, C.
dc.date.accessioned2021-12-09T14:00:44Z
dc.date.available2021-12-09T14:00:44Z
dc.date.issued2018
dc.identifier.citationJournal of Energy Storage, vol. 15, pp. 415-422, Feb 2018.
dc.identifier.urihttps://yoda.csem.ch/handle/20.500.12839/250
dc.description.abstractDespite a continuous reduction in battery prices, investment in storage systems carries a high risk. Indeed, many applications lack an adequate test protocol and method to predict the performance of batteries in operations. In this paper, we focus on lithium-ion battery energy storage systems (BESS), for which we introduce a novel method. With this method, predicting the efficiency of lithium-ion BESS becomes possible for any application from a single set of measurements. We show that evaluating the battery resistance as a function of the C-rate provides general 'capability charts' based on which the efficiency can be evaluated under arbitrary operation profiles. Application-specific test procedures therefore become unnecessary. We have applied the novel procedure on three different lithium-ion cell technologies and illustrate its accuracy in the example of grid-connected BESS used for primary control reserve. (c) 2017 Elsevier Ltd. All rights reserved.
dc.subjectBattery energy storage systems, Lithium-ion, Efficiency, Performance, Testing protocol, Energy density, Power density, Frequency regulation, energy-storage, arbitrage, system, Energy and Fuels
dc.titleApplication-independent protocol for predicting the efficiency of lithium-ion battery cells in operations
dc.typeJournal Article
dc.type.csemdivisionsDiv-V
dc.type.csemresearchareasEnergy Storage
dc.identifier.doihttps://doi.org/10.1016/j.est.2017.11.021


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