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dc.contributor.authorBanerjee, Joydeep
dc.contributor.authorMcPhee, John
dc.contributor.authorGoossens, Paul
dc.contributor.authorDao, Thanh-Son
dc.date.accessioned2017-03-16 18:53:08 (GMT)
dc.date.available2017-03-16 18:53:08 (GMT)
dc.date.issued2014-04-01
dc.identifier.urihttp://dx.doi.org/10.4271/2014-01-1865
dc.identifier.urihttp://hdl.handle.net/10012/11529
dc.descriptionReplicated with permission by SAE Copyright © 2017 SAE International. Further distribution of this material is not permitted without prior permission from SAE.en
dc.description.abstractThe analysis of nickel metal hydride (Ni-MH) battery performance is very important for automotive researchers and manufacturers. The performance of a battery can be described as a direct consequence of various chemical and physical phenomena taking place inside the container. In this paper, a physics-based model of a Ni-MH battery will be presented. To analyze its performance, the efficiency of the battery is chosen as the performance measure, which is defined as the ratio of the energy output from the battery and the energy input to the battery while charging. Parametric sensitivity analysis will be used to generate sensitivity information for the state variables of the model. The generated information will be used to showcase how sensitivity information can be used to identify unique model behavior and how it can be used to optimize the capacity of the battery. The results will be validated using a finite difference formulation.en
dc.description.sponsorshipFinancial support for this work has been provided by the Natural Sciences and Engineering Research Council of Canada (NSERC), Toyota, and Maplesoft.en
dc.language.isoenen
dc.publisherSAE Internationalen
dc.subjectSimulationen
dc.subjectModelingen
dc.subjectComputer simulationen
dc.subjectNickel-metal hydride batteriesen
dc.titlePhysics-Based Models, Sensitivity Analysis, and Optimization of Automotive Batteriesen
dc.typeConference Paperen
dcterms.bibliographicCitationBanerjee, J., McPhee, J., Goossens, P., & Dao, T.-S. (2014). Physics-Based Models, Sensitivity Analysis, and Optimization of Automotive Batteries. https://doi.org/10.4271/2014-01-1865en
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Systems Design Engineeringen
uws.typeOfResourceTexten
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen


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