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dc.contributor.authorAfshar, Sepideh
dc.contributor.authorMorris, Kirsten
dc.contributor.authorKhajepour, Amir
dc.date.accessioned2017-11-16 17:24:52 (GMT)
dc.date.available2017-11-16 17:24:52 (GMT)
dc.date.issued2017-09-12
dc.identifier.urihttp://arxiv.org/abs/1709.03970
dc.identifier.urihttp://hdl.handle.net/10012/12632
dc.description.abstractLithium-ion batteries are used to store energy in electric vehicles. Physical models based on electro-chemistry accurately predict the cell dynamics, in particular the state of charge. However, these models are nonlinear partial differential equations coupled to algebraic equations, and they are computationally intensive. Furthermore, a variable solid-state diffusivity model is recommended for cells with a lithium ion phosphate positive electrode to provide more accuracy. This variable structure adds more complexities to the model. However, a low-order model is required to represent the lithium-ion cells' dynamics for real-time applications. In this paper, a simplification of the electrochemical equations with variable solid-state diffusivity that preserves the key cells' dynamics is derived. The simplified model is transformed into a numerically efficient fully dynamical form. It is proved that the simplified model is well-posed and can be approximated by a low-order finite-dimensional model. Simulations are very quick and show good agreement with experimental data.en
dc.description.sponsorshipAutomotive Partnership Canada (APC)en
dc.description.sponsorshipOntario Research Fund (ORF)en
dc.description.sponsorshipGeneral Motorsen
dc.language.isoenen
dc.subjectState Of Charge Estimationen
dc.subjectElectrochemical Equationsen
dc.subjectVariable Solid-State Diffusivity Modelen
dc.subjectLow-Order Modelen
dc.titleEfficient electrochemical model for lithium-ion cellsen
dc.typePreprinten
dcterms.bibliographicCitationAfshar, S., Morris, K., & Khajepour, A. (2017). Efficient electrochemical model for lithium-ion cells. ArXiv:1709.03970 [Math]. Retrieved from http://arxiv.org/abs/1709.03970en
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2Applied Mathematicsen
uws.typeOfResourceTexten
uws.typeOfResourceTexten
uws.peerReviewStatusUnrevieweden
uws.scholarLevelFacultyen


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