dc.contributor.author | Brivio, C. | |
dc.contributor.author | Musolino, V. | |
dc.contributor.author | Alet, P. J. | |
dc.contributor.author | Merlo, M. | |
dc.contributor.author | Hutter, A. | |
dc.contributor.author | Ballif, C. | |
dc.date.accessioned | 2021-12-09T14:00:44Z | |
dc.date.available | 2021-12-09T14:00:44Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Journal of Energy Storage, vol. 15, pp. 415-422, Feb 2018. | |
dc.identifier.uri | https://yoda.csem.ch/handle/20.500.12839/250 | |
dc.description.abstract | Despite 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.subject | Battery energy storage systems, Lithium-ion, Efficiency, Performance, Testing protocol, Energy density, Power density, Frequency regulation, energy-storage, arbitrage, system, Energy and Fuels | |
dc.title | Application-independent protocol for predicting the efficiency of lithium-ion battery cells in operations | |
dc.type | Journal Article | |
dc.type.csemdivisions | Div-V | |
dc.type.csemresearchareas | Energy Storage | |
dc.identifier.doi | https://doi.org/10.1016/j.est.2017.11.021 | |