Co-Estimation of State of Health and State of Charge for Lithium-Ion Batteries via the Normalized State of Charge and Open Circuit Voltage Relationship

dc.authorid0000-0002-4192-1047
dc.contributor.authorKadem, Onur
dc.date.accessioned2026-02-08T15:14:46Z
dc.date.available2026-02-08T15:14:46Z
dc.date.issued2025
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractThe relationship between state of charge (SoC) and open circuit voltage (OCV) is fundamental to SoC estimation in equivalent circuit models (ECMs). While its dependency on temperature and aging is recognized, the influence of real-time capacity variations is often underexplored. This study investigates the impact of capacity degradation on the SoC-OCV relationship across different temperatures, aging levels, and OCV testing methods, using the CALCE and NASA battery datasets. Results show that when SoC is normalized by the degraded capacity, the SoC-OCV relationship remains nearly constant for SoC values above 20%. Leveraging this property, we propose a real-time algorithm capable of simultaneously estimating SoC and capacity throughout the battery lifecycle. The algorithm also estimates state of health (SoH) by independently quantifying resistance and capacity related degradation. A first-order ECM with a single resistor-capacitor branch models battery dynamics, while Kalman filtering enables real-time state updates. The method is validated under diverse conditions including partial and full discharges, varying temperatures, dynamic load profiles (e.g., US06, FUDS, BJDST, HPPC), and different aging states. Experimental results demonstrate robust performance, with SoC estimation errors within +/- 0.01 and capacity estimation errors within +/- 0.05 Ah, confirming the algorithm's effectiveness for real-world battery management system applications.
dc.description.sponsorshipCALCE Battery Research Group
dc.description.sponsorshipWe would like to thank the CALCE Battery Research Group and the NASA scientists for making the datasets publicly available.
dc.identifier.doi10.1002/est2.70270
dc.identifier.issn2578-4862
dc.identifier.issue7
dc.identifier.scopus2-s2.0-105016410068
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1002/est2.70270
dc.identifier.urihttps://hdl.handle.net/20.500.12885/5422
dc.identifier.volume7
dc.identifier.wosWOS:001572150000001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofEnergy Storage
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzWOS_KA_20260207
dc.subjectbattery management system
dc.subjectcapacity estimation
dc.subjectequivalent circuit model
dc.subjectKalman filtering
dc.subjectSoC estimation
dc.subjectSoC-OCV characterization
dc.subjectSoH estimation
dc.titleCo-Estimation of State of Health and State of Charge for Lithium-Ion Batteries via the Normalized State of Charge and Open Circuit Voltage Relationship
dc.typeArticle

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