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dc.contributor.authorDarcovich, K.
dc.contributor.authorMacNeil, D. D.
dc.contributor.authorRecoskie, S.
dc.contributor.authorCadic, Q.
dc.contributor.authorIlinca, F.
dc.contributor.authorKenney, B.
dc.date.accessioned2019-02-28T11:13:56Z
dc.date.available2019-02-28T11:13:56Z
dc.date.copyright2/6/2018 12:00:00 AM
dc.date.issued2018
dc.identifier.issn2381-6872
dc.identifier.otherjeecs_015_02_021004.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4254102
dc.description.abstractThis study combined a simple two-dimensional (2D) finite volume model (Kim model), which employs Ohm's law along with charge conservation over the electrodes and Butler–Volmer charge transfer kinetics for prismatic battery cells coupled with the single particle model (SPM) in order to model the thermal state of automotive battery packs. The objective here was to determine the effects of liquid cooling applied to the packs under standard driving cycles. A model developed by Kim provided a means for determining a nonuniform current distribution over the surface of the current collectors. The Kim model is based on the application of Ohm's law over a conducting medium, with empirical source terms representing current flowing into or out of an adjacent electrode layer. Here, a modeling advance is presented where empirical source terms in the Kim model were replaced with ones based on the chemistry and physics occurring inside the battery. As such, fundamental battery function was imparted to the model by integrating the SPM into the 2D finite volume Kim model. The 2D procedure described above was carried out on electrode sheets at different positions inside the cell, and determined thermal generation values that were mapped volumetrically into a heat transfer simulation, which, in turn, updated the electrochemical simulation. Capacity fade kinetics were determined by fitting experimental data to simulated results. With time-temperature profiles produced as described above for different pack cooling levels and varying degrees of cell degradation, a basic SPM simulation was then used with thermal overlays to estimate automotive cell life under various driving scenarios and various cooling levels. With these simulations, scenarios representing different thermal management regimes along with driving behavior were able to show the combined impact on automotive battery pack lifetimes.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleCoupled Numerical Approach for Automotive Battery Pack Lifetime Estimates With Thermal Management
dc.typeJournal Paper
dc.journal.volume15
dc.journal.issue2
dc.journal.titleJournal of Electrochemical Energy Conversion and Storage
dc.identifier.doi10.1115/1.4038631
dc.journal.fristpage21004
dc.journal.lastpage021004-12
dc.treeJournal of Electrochemical Energy Conversion and Storage:;2018:;volume( 015 ):;issue: 002
dc.contenttypeFulltext


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