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dc.contributor.authorHendricks, Christopher;Sood, Bhanu;Pecht, Michael
dc.date.accessioned2022-12-27T23:13:57Z
dc.date.available2022-12-27T23:13:57Z
dc.date.copyright5/12/2022 12:00:00 AM
dc.date.issued2022
dc.identifier.issn2381-6872
dc.identifier.otherjeecs_20_1_011008.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288170
dc.description.abstractLithium-ion battery diagnostics and prognostics rely on measurements of electrical impedance, capacity, and voltage to infer the internal state of the battery. Mechanical changes to the cell structure represent an additional measure of the battery’s state because these changes are related to the overall battery health. As lithium-ion batteries are charged and discharged, lithium ions are inserted or removed from the anode and cathode, a process called intercalation and deintercalation. As lithium ions intercalate and de-intercalate, they can cause changes to the lattice of the electrode particles, resulting in volumetric changes. These volumetric changes cause mechanical stresses and strains on the lithium-ion battery electrodes, and subsequently, the whole cell’s thickness varies as it is charged and discharged. This paper presents a study on the use of surface-mounted strain gauges for in-situ measurement of structural changes to lithium-ion batteries, along with a characterization of the unit-to-unit differences in strain response. A neural network modeling structure is then used to predict the battery’s depth of discharge under dynamic discharge conditions.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleLithium-Ion Battery Strain Gauge Monitoring and Depth of Discharge Estimation
dc.typeJournal Paper
dc.journal.volume20
dc.journal.issue1
dc.journal.titleJournal of Electrochemical Energy Conversion and Storage
dc.identifier.doi10.1115/1.4054340
dc.journal.fristpage11008
dc.journal.lastpage11008_8
dc.page8
dc.treeJournal of Electrochemical Energy Conversion and Storage:;2022:;volume( 020 ):;issue: 001
dc.contenttypeFulltext


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