C-Rate- and Temperature-Dependent State-of-Charge Estimation Method for Li-Ion Batteries in Electric Vehicles

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dc.authorid0000-0002-5169-5274
dc.authorid0000-0002-2032-9810
dc.contributor.authorAslan, Eyyup
dc.contributor.authorYasa, Yusuf
dc.date.accessioned2026-02-08T15:15:56Z
dc.date.available2026-02-08T15:15:56Z
dc.date.issued2024
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractLi-ion batteries determine the lifespan of an electric vehicle. High power and energy density and extensive service time are crucial parameters in EV batteries. In terms of safe and effective usage, a precise cell model and SoC estimation algorithm are indispensable. To provide an accurate SoC estimation, a current- and temperature-dependent SoC estimation algorithm is proposed in this paper. The proposed SoC estimation algorithm and equivalent circuit model (ECM) of the cells include current and temperature effects to reflect real battery behavior and provide an accurate SoC estimation. For including current and temperature effects in the cell model, lookup tables have been used for each parameter of the model. Based on the proposed ECM, the unscented Kalman filter (UKF) approach is utilized for estimating SoC since this approach is satisfactory for nonlinear systems such as lithium-ion batteries. The experimental results reveal that the proposed approach provides superior accuracy when compared to conventional methods and it is promising in terms of meeting electric vehicle requirements.
dc.identifier.doi10.3390/en17133187
dc.identifier.issn1996-1073
dc.identifier.issue13
dc.identifier.scopus2-s2.0-85198220884
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/en17133187
dc.identifier.urihttps://hdl.handle.net/20.500.12885/6048
dc.identifier.volume17
dc.identifier.wosWOS:001268017000001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofEnergies
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzWOS_KA_20260207
dc.subjectelectric vehicle
dc.subjectequivalent circuit model
dc.subjectlithium-ion battery
dc.subjectstate of charge
dc.subjectunscented Kalman filter
dc.titleC-Rate- and Temperature-Dependent State-of-Charge Estimation Method for Li-Ion Batteries in Electric Vehicles
dc.typeArticle

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