Berrueta Irigoyen, AlbertoSan Martín Biurrun, IdoiaSanchis Gúrpide, PabloUrsúa Rubio, Alfredo2023-05-122023-05-122016Berrueta, A., San Martín, I., Sanchis, P., Ursúa, A. (2016) Comparison of State-of-Charge Estimation methods for Stationary Lithium-Ion Batteries. En VVAA, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society. 23-26 Oct. 2016 (42ª ed., pp. 2010-2015). IEEE. https://doi.org/10.1109/IECON.2016.7794094.978-1-5090-3475-810.1109/IECON.2016.7794094https://academica-e.unavarra.es/handle/2454/45292An accurate monitoring of the State of Charge (SoC) is mandatory for an efficient management of a Lithium-ion battery. Batteries of stationary systems barely have long resting periods when the cumulative errors can be reset. These special requirements make a robust and accurate SoC estimation algorithm necessary. A real stationary system including an experimental microgrid with renewable energy generation, home consumption and a 5.3 kWh Li-ion storage system is analyzed in this paper. Three representative SoC monitoring algorithms are applied and compared in terms of accuracy and robustness to battery aging and current measurement offset. A closed-loop method consisting of an adaptive filter and a state observer achieves best results while having a reasonable computational complexity.application/pdfeng© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.Lithium-ion batteryMonitoringState of chargeMicrogridinfo:eu-repo/semantics/conferenceObject2023-05-12Acceso abierto / Sarbide irekiainfo:eu-repo/semantics/openAccess