Multi-temperature state-dependent equivalent circuit discharge model for lithium-sulfur batteries

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dc.contributor.authorPropp, Karsten
dc.contributor.authorMarinescu, Monica
dc.contributor.authorAuger, Daniel J.
dc.contributor.authorO'Neill, Laura
dc.contributor.authorFotouhi, Abbas
dc.contributor.authorSomasundaram, Karthik
dc.contributor.authorOffer, Gregory J.
dc.contributor.authorMinton, Geraint
dc.contributor.authorLongo, Stefano
dc.contributor.authorWild, Mark
dc.contributor.authorKnap, Vaclav
dc.date.accessioned2016-10-12T15:38:39Z
dc.date.available2016-10-12T15:38:39Z
dc.date.issued2016-08-12
dc.description.abstractLithium-sulfur (Li-S) batteries are described extensively in the literature, but existing computational models aimed at scientific understanding are too complex for use in applications such as battery management. Computationally simple models are vital for exploitation. This paper proposes a non-linear state-of-charge dependent Li-S equivalent circuit network (ECN) model for a Li-S cell under discharge. Li-S batteries are fundamentally different to Li-ion batteries, and require chemistry-specific models. A new Li-S model is obtained using a ‘behavioural’ interpretation of the ECN model; as Li-S exhibits a ‘steep’ open-circuit voltage (OCV) profile at high states-of-charge, identification methods are designed to take into account OCV changes during current pulses. The prediction-error minimization technique is used. The model is parameterized from laboratory experiments using a mixed-size current pulse profile at four temperatures from 10 °C to 50 °C, giving linearized ECN parameters for a range of states-of-charge, currents and temperatures. These are used to create a nonlinear polynomial-based battery model suitable for use in a battery management system. When the model is used to predict the behaviour of a validation data set representing an automotive NEDC driving cycle, the terminal voltage predictions are judged accurate with a root mean square error of 32 mV.en_UK
dc.identifier.citationKarsten Propp, Monica Marinescu, Daniel J. Auger, Laura O'Neill, Abbas Fotouhi, Karthik Somasundaram, Gregory J. Offer, Geraint Minton, Stefano Longo, Mark Wild, Vaclav Knap, Multi-temperature state-dependent equivalent circuit discharge model for lithium-sulfur batteries, Journal of Power Sources, Volume 328, 1 October 2016, pp289-299en_UK
dc.identifier.cris15037646
dc.identifier.issn0378-7753
dc.identifier.urihttp://doi.org/10.1016/j.jpowsour.2016.07.090
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/10716
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectLithium-sulfur batteryen_UK
dc.subjectParameter estimationen_UK
dc.subjectSystem identificationen_UK
dc.subjectBattery modelen_UK
dc.titleMulti-temperature state-dependent equivalent circuit discharge model for lithium-sulfur batteriesen_UK
dc.typeArticleen_UK

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