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An open circuit voltage-based model for state-of-health estimation of lithium-ion batteries: Model development and validation
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Chemical Engineering.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Chemical Engineering.ORCID iD: 0000-0001-6801-9208
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Chemical Engineering.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Chemical Engineering.
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2020 (English)In: Journal of Power Sources, ISSN 0378-7753, E-ISSN 1873-2755, Vol. 448, article id 227401Article in journal (Refereed) Published
Abstract [en]

An open circuit voltage-based model for state-of-health estimation of lithium-ion batteries is proposed and validated in this work. It describes the open circuit voltage as a function of the state-of-charge by a polynomial of high degree, with a lumped thermal model to account for the effect of temperature. When applied for practical use, the model requires a prior learning from the initial charging or discharging data for the sake of parameter identification, using e.g. a nonlinear least squares method, but it is undemanding to implement. The study shows that the model is able to estimate the state-of-health of a LiFePO4 cell cycled under conditions where the temperature has fluctuated significantly with a relative error less than 0.45% at most. A short part of a constant current profile is enough for state-of-health estimation, and the effect of size and location of voltage window on the model's accuracy is also studied. In particular, the reason of accuracy change with different voltage windows is explained by incremental capacity analysis. Additionally, the versatility and flexibility of the model to different chemistries and cell designs are demonstrated.

Place, publisher, year, edition, pages
Elsevier, 2020. Vol. 448, article id 227401
Keywords [en]
Incremental capacity analysis, Lithium-ion battery, Open circuit voltage-based model, State-of-health, Voltage window
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-267814DOI: 10.1016/j.jpowsour.2019.227401ISI: 000509632300016Scopus ID: 2-s2.0-85075435389OAI: oai:DiVA.org:kth-267814DiVA, id: diva2:1411236
Note

QC 20200303

Available from: 2020-03-03 Created: 2020-03-03 Last updated: 2020-03-16Bibliographically approved

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Bian, XiaoleiLiu, LongchengYan, JinyingZhao, Ruikai

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