Berrueta, JavierBerrueta Irigoyen, AlbertoSoto Cabria, AdriánSanchis Gúrpide, PabloUrsúa Rubio, Alfredo2022-09-192022-11-032021Berrueta, J.; Berrueta, A.; Soto, A.; Sanchis, P.; Ursúa, A.. (2021). Particularised Kalman Filter for the state-of-charge estimation of second-life lithium-ion batteries and experimental validation. 1 IEEE; (p. 1-6).978-1-6654-3612-310.1109/EEEIC/ICPSEurope51590.2021.9584520https://academica-e.unavarra.es/handle/2454/44069A critical issue for a proper energy management of a lithium-ion (Li-ion) battery is the estimation of its state-of-charge (SOC). There are various methods available for the SOC estimation, being some of them robust and accurate, but requiring high computational power for its applicability, which is inconvenient for their use with the usual low-cost microcontrollers that build a typical BMS. This contribution proposes an SOC estimation algorithm based on a simplified Kalman Filter, that combines a high accuracy with reduced computational requirements. The proposed simplifications result from a careful analysis of the Li-ion battery performance and linearization of processes that entail negligible loss of accuracy. The proposed algorithm is used to estimate the SOC of a second-life Li-ion battery operating in an experimental PV self-consumption facility. Its performance, in terms of accuracy, robustness and computational requirement, is compared with an Extended Kalman Filter (EKF), a Particle Filter (PF) and other low-performance estimation algorithms, proving its tradeoff between accuracy and computational cost.application/pdfeng© 2021 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 batteryState of chargeKalman FilterEstimation algorithmContribución a congreso / Biltzarrerako ekarpena2022-09-19Acceso abierto / Sarbide irekiainfo:eu-repo/semantics/openAccess